https://github.com/hamzeiehsan/leisure-walking-analysis
Tip revision: 22c33b5a1a32915a600817db808f716df265b70b authored by hamzeiehsan on 27 April 2025, 10:08:03 UTC
add link to annotation tool
add link to annotation tool
Tip revision: 22c33b5
5_POI_Selection.ipynb
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"# Analysing the annotations \n",
"This analysis includes:\n",
"\n",
"1. describing the POIs using OSM tags\n",
"2. describing the relationship between the OSM tags and the topics for matches\n",
"3. finding patterns in unmatched topics\n",
"4. comparing the matched OSM records with their surrounding features (not selected - including and excluding the route)"
]
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"# working with files\n",
"import os.path\n",
"# sys\n",
"import sys\n",
"# warning off\n",
"import warnings\n",
"# IO\n",
"import json\n",
"\n",
"# requests\n",
"import requests\n",
"\n",
"# dataframe \n",
"import numpy as np\n",
"import pandas as pd\n",
"import geopandas as gpd\n",
"\n",
"\n",
"# visualization\n",
"import matplotlib.pyplot as plt\n",
"import seaborn as sns\n",
"\n",
"# logging\n",
"from loguru import logger\n",
"\n",
"# set logger level\n",
"logger.remove(0)\n",
"logger.add(sys.stderr, level=\"INFO\")\n",
"\n",
"warnings.filterwarnings(\"ignore\")"
]
},
{
"cell_type": "markdown",
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"source": [
"## 2.1. Walking Map Dataset\n",
"\n",
"Creating a detailed dataframe of all POIs, their description, topic and sub-topic and their point-based representation."
]
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"name": "stdout",
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"text": [
" record_id record_title \\\n",
"0 1 Fairhaven to Aireys Inlet Walk created by tedm... \n",
"1 1 Fairhaven to Aireys Inlet Walk created by tedm... \n",
"2 1 Fairhaven to Aireys Inlet Walk created by tedm... \n",
"3 1 Fairhaven to Aireys Inlet Walk created by tedm... \n",
"4 1 Fairhaven to Aireys Inlet Walk created by tedm... \n",
"\n",
" record_description \\\n",
"0 Apart from the points of interested listed, he... \n",
"1 Apart from the points of interested listed, he... \n",
"2 Apart from the points of interested listed, he... \n",
"3 Apart from the points of interested listed, he... \n",
"4 Apart from the points of interested listed, he... \n",
"\n",
" poi_title \\\n",
"0 Fairhaven Surf Life Saving Club \n",
"1 Beach walk \n",
"2 Rock pools \n",
"3 Sand dunes \n",
"4 Painkalac Creek \n",
"\n",
" poi_summary latitude longitude \\\n",
"0 Fairhaven is a well known surf beach. The beac... -38.468759 144.084459 \n",
"1 From Sprout Creek, Eastern View, Moggs Creek, ... -38.468542 144.089693 \n",
"2 See what sort of shells and stones you can col... -38.468459 144.092420 \n",
"3 The beautiful rolling sand dunes shape the bea... -38.468418 144.095318 \n",
"4 The creek separates Aireys Inlet from Fairhave... -38.468390 144.097312 \n",
"\n",
" geometry \n",
"0 POINT (144.08446 -38.46876) \n",
"1 POINT (144.08969 -38.46854) \n",
"2 POINT (144.09242 -38.46846) \n",
"3 POINT (144.09532 -38.46842) \n",
"4 POINT (144.09731 -38.46839) \n"
]
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" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Unnamed: 0</th>\n",
" <th>index</th>\n",
" <th>topic</th>\n",
" <th>document</th>\n",
" <th>is_found</th>\n",
" <th>class</th>\n",
" <th>Count</th>\n",
" <th>Name</th>\n",
" <th>Representation</th>\n",
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" <td>False</td>\n",
" <td>NaN</td>\n",
" <td>148</td>\n",
" <td>2_beach_bay_sand_tide</td>\n",
" <td>['beach', 'bay', 'sand', 'tide', 'coastal', 'c...</td>\n",
" <td>['Apollo Bay beach: The beach is most sheltere...</td>\n",
" <td>0</td>\n",
" <td>nature</td>\n",
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" <td>0</td>\n",
" <td>nature</td>\n",
" <td>natural landmarks</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>3</td>\n",
" <td>96</td>\n",
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" <td>Surf' up: A good spot to watch the surf, have ...</td>\n",
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" <td>NaN</td>\n",
" <td>148</td>\n",
" <td>2_beach_bay_sand_tide</td>\n",
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" <td>['Apollo Bay beach: The beach is most sheltere...</td>\n",
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" <td>nature</td>\n",
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" <th>4</th>\n",
" <td>4</td>\n",
" <td>99</td>\n",
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" <td>Heading down to the beach: Follow the track, w...</td>\n",
" <td>False</td>\n",
" <td>NaN</td>\n",
" <td>148</td>\n",
" <td>2_beach_bay_sand_tide</td>\n",
" <td>['beach', 'bay', 'sand', 'tide', 'coastal', 'c...</td>\n",
" <td>['Apollo Bay beach: The beach is most sheltere...</td>\n",
" <td>0</td>\n",
" <td>nature</td>\n",
" <td>natural landmarks</td>\n",
" </tr>\n",
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"text/plain": [
" Unnamed: 0 index topic \\\n",
"0 0 0 2 \n",
"1 1 1 2 \n",
"2 2 3 2 \n",
"3 3 96 2 \n",
"4 4 99 2 \n",
"\n",
" document is_found class Count \\\n",
"0 Surf Life Saving Club: is a well known surf be... False NaN 148 \n",
"1 Beach walk: From Sprout Creek, , , to the bott... False NaN 148 \n",
"2 Sand dunes: The beautiful rolling sand dune sh... False NaN 148 \n",
"3 Surf' up: A good spot to watch the surf, have ... False NaN 148 \n",
"4 Heading down to the beach: Follow the track, w... False NaN 148 \n",
"\n",
" Name Representation \\\n",
"0 2_beach_bay_sand_tide ['beach', 'bay', 'sand', 'tide', 'coastal', 'c... \n",
"1 2_beach_bay_sand_tide ['beach', 'bay', 'sand', 'tide', 'coastal', 'c... \n",
"2 2_beach_bay_sand_tide ['beach', 'bay', 'sand', 'tide', 'coastal', 'c... \n",
"3 2_beach_bay_sand_tide ['beach', 'bay', 'sand', 'tide', 'coastal', 'c... \n",
"4 2_beach_bay_sand_tide ['beach', 'bay', 'sand', 'tide', 'coastal', 'c... \n",
"\n",
" Representative_Docs Class ID Class \\\n",
"0 ['Apollo Bay beach: The beach is most sheltere... 0 nature \n",
"1 ['Apollo Bay beach: The beach is most sheltere... 0 nature \n",
"2 ['Apollo Bay beach: The beach is most sheltere... 0 nature \n",
"3 ['Apollo Bay beach: The beach is most sheltere... 0 nature \n",
"4 ['Apollo Bay beach: The beach is most sheltere... 0 nature \n",
"\n",
" Subclass \n",
"0 natural landmarks \n",
"1 natural landmarks \n",
"2 natural landmarks \n",
"3 natural landmarks \n",
"4 natural landmarks "
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"source": [
"# dataset:\n",
"\n",
"# 0. Geodataframe of all POIs\n",
"with open('dataset/walkingmaps.json', 'r', encoding='utf-8') as fp:\n",
" dataset = json.load(fp)\n",
"\n",
"data_structure = {\n",
" 'record_id': [], 'record_title':[], 'record_description':[],\n",
" 'poi_title':[], 'poi_summary':[], 'latitude': [], 'longitude': []}\n",
"\n",
"for record_id, record in enumerate(dataset):\n",
" if 'pois' in record.keys() and len(record['pois']) > 0:\n",
" for poi in record['pois']:\n",
" data_structure['record_id'].append(record_id)\n",
" data_structure['record_title'].append(record['title'])\n",
" data_structure['record_description'].append(record['description'])\n",
" data_structure['poi_title'].append(poi['title'])\n",
" data_structure['poi_summary'].append(poi['summary'])\n",
" data_structure['latitude'].append(poi['lat'])\n",
" data_structure['longitude'].append(poi['lng'])\n",
"\n",
"df = pd.DataFrame(data_structure)\n",
"gdf = gpd.GeoDataFrame(df, geometry=gpd.points_from_xy(df.longitude, df.latitude), crs=\"EPSG:4326\")\n",
"\n",
"print(gdf.head())\n",
"\n",
"# 1. POI - topic\n",
"poi_classified = pd.read_csv('outputs/dataframes/refined-topic-poi-description-classified.csv')\n",
"poi_classified.head()"
]
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" <td>NaN</td>\n",
" <td>148</td>\n",
" <td>2_beach_bay_sand_tide</td>\n",
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" <td>Apart from the points of interested listed, he...</td>\n",
" <td>Rock pools</td>\n",
" <td>See what sort of shells and stones you can col...</td>\n",
" <td>-38.468459</td>\n",
" <td>144.092420</td>\n",
" <td>POINT (144.09242 -38.46846)</td>\n",
" <td>171</td>\n",
" <td>...</td>\n",
" <td>Rock pools: See what sort of shell and stone y...</td>\n",
" <td>False</td>\n",
" <td>NaN</td>\n",
" <td>153</td>\n",
" <td>1_bird_duck_birdlife_ducks</td>\n",
" <td>['bird', 'duck', 'birdlife', 'ducks', 'feng', ...</td>\n",
" <td>['Black s: Keep an eye out for the birdlife at...</td>\n",
" <td>0</td>\n",
" <td>nature</td>\n",
" <td>flora and funa</td>\n",
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" <td>3</td>\n",
" <td>1</td>\n",
" <td>Fairhaven to Aireys Inlet Walk created by tedm...</td>\n",
" <td>Apart from the points of interested listed, he...</td>\n",
" <td>Sand dunes</td>\n",
" <td>The beautiful rolling sand dunes shape the bea...</td>\n",
" <td>-38.468418</td>\n",
" <td>144.095318</td>\n",
" <td>POINT (144.09532 -38.46842)</td>\n",
" <td>2</td>\n",
" <td>...</td>\n",
" <td>Sand dunes: The beautiful rolling sand dune sh...</td>\n",
" <td>False</td>\n",
" <td>NaN</td>\n",
" <td>148</td>\n",
" <td>2_beach_bay_sand_tide</td>\n",
" <td>['beach', 'bay', 'sand', 'tide', 'coastal', 'c...</td>\n",
" <td>['Apollo Bay beach: The beach is most sheltere...</td>\n",
" <td>0</td>\n",
" <td>nature</td>\n",
" <td>natural landmarks</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>4</td>\n",
" <td>1</td>\n",
" <td>Fairhaven to Aireys Inlet Walk created by tedm...</td>\n",
" <td>Apart from the points of interested listed, he...</td>\n",
" <td>Painkalac Creek</td>\n",
" <td>The creek separates Aireys Inlet from Fairhave...</td>\n",
" <td>-38.468390</td>\n",
" <td>144.097312</td>\n",
" <td>POINT (144.09731 -38.46839)</td>\n",
" <td>380</td>\n",
" <td>...</td>\n",
" <td>Painkalac Creek: The creek sete from and form ...</td>\n",
" <td>False</td>\n",
" <td>NaN</td>\n",
" <td>37</td>\n",
" <td>23_creek_frost_leary_running</td>\n",
" <td>['creek', 'frost', 'leary', 'running', 'toomuc...</td>\n",
" <td>['Creek: The reserve ha two creek running thro...</td>\n",
" <td>0</td>\n",
" <td>nature</td>\n",
" <td>natural landmarks</td>\n",
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"text/plain": [
" index record_id record_title \\\n",
"0 0 1 Fairhaven to Aireys Inlet Walk created by tedm... \n",
"1 1 1 Fairhaven to Aireys Inlet Walk created by tedm... \n",
"2 2 1 Fairhaven to Aireys Inlet Walk created by tedm... \n",
"3 3 1 Fairhaven to Aireys Inlet Walk created by tedm... \n",
"4 4 1 Fairhaven to Aireys Inlet Walk created by tedm... \n",
"\n",
" record_description \\\n",
"0 Apart from the points of interested listed, he... \n",
"1 Apart from the points of interested listed, he... \n",
"2 Apart from the points of interested listed, he... \n",
"3 Apart from the points of interested listed, he... \n",
"4 Apart from the points of interested listed, he... \n",
"\n",
" poi_title \\\n",
"0 Fairhaven Surf Life Saving Club \n",
"1 Beach walk \n",
"2 Rock pools \n",
"3 Sand dunes \n",
"4 Painkalac Creek \n",
"\n",
" poi_summary latitude longitude \\\n",
"0 Fairhaven is a well known surf beach. The beac... -38.468759 144.084459 \n",
"1 From Sprout Creek, Eastern View, Moggs Creek, ... -38.468542 144.089693 \n",
"2 See what sort of shells and stones you can col... -38.468459 144.092420 \n",
"3 The beautiful rolling sand dunes shape the bea... -38.468418 144.095318 \n",
"4 The creek separates Aireys Inlet from Fairhave... -38.468390 144.097312 \n",
"\n",
" geometry Unnamed: 0 ... \\\n",
"0 POINT (144.08446 -38.46876) 0 ... \n",
"1 POINT (144.08969 -38.46854) 1 ... \n",
"2 POINT (144.09242 -38.46846) 171 ... \n",
"3 POINT (144.09532 -38.46842) 2 ... \n",
"4 POINT (144.09731 -38.46839) 380 ... \n",
"\n",
" document is_found class Count \\\n",
"0 Surf Life Saving Club: is a well known surf be... False NaN 148 \n",
"1 Beach walk: From Sprout Creek, , , to the bott... False NaN 148 \n",
"2 Rock pools: See what sort of shell and stone y... False NaN 153 \n",
"3 Sand dunes: The beautiful rolling sand dune sh... False NaN 148 \n",
"4 Painkalac Creek: The creek sete from and form ... False NaN 37 \n",
"\n",
" Name \\\n",
"0 2_beach_bay_sand_tide \n",
"1 2_beach_bay_sand_tide \n",
"2 1_bird_duck_birdlife_ducks \n",
"3 2_beach_bay_sand_tide \n",
"4 23_creek_frost_leary_running \n",
"\n",
" Representation \\\n",
"0 ['beach', 'bay', 'sand', 'tide', 'coastal', 'c... \n",
"1 ['beach', 'bay', 'sand', 'tide', 'coastal', 'c... \n",
"2 ['bird', 'duck', 'birdlife', 'ducks', 'feng', ... \n",
"3 ['beach', 'bay', 'sand', 'tide', 'coastal', 'c... \n",
"4 ['creek', 'frost', 'leary', 'running', 'toomuc... \n",
"\n",
" Representative_Docs Class ID Class \\\n",
"0 ['Apollo Bay beach: The beach is most sheltere... 0 nature \n",
"1 ['Apollo Bay beach: The beach is most sheltere... 0 nature \n",
"2 ['Black s: Keep an eye out for the birdlife at... 0 nature \n",
"3 ['Apollo Bay beach: The beach is most sheltere... 0 nature \n",
"4 ['Creek: The reserve ha two creek running thro... 0 nature \n",
"\n",
" Subclass \n",
"0 natural landmarks \n",
"1 natural landmarks \n",
"2 flora and funa \n",
"3 natural landmarks \n",
"4 natural landmarks \n",
"\n",
"[5 rows x 21 columns]"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"gdf.reset_index()\n",
"detailed_df = pd.merge(gdf.reset_index(), poi_classified, left_on='index', right_on='index', how='inner')\n",
"detailed_df.head()"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "ff35b02f-79d5-47ef-a325-cc2ea236b8ae",
"metadata": {},
"outputs": [
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" 28553.69311335975]"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import geopy.distance\n",
"\n",
"distances = []\n",
"# how many walks are closed \n",
"for r in dataset:\n",
" first_point = r['pathDetails'][0]\n",
" last_point = r['pathDetails'][-1]\n",
" d = geopy.distance.geodesic((first_point['lat'], first_point['lng']), \n",
" (last_point['lat'], last_point['lng'])).km\n",
" distances.append(d*1000)\n",
"\n",
"sorted(distances)"
]
},
{
"cell_type": "code",
"execution_count": 18,
"id": "7033bd6b-4cc3-4352-b32d-2844cf6ad233",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"203"
]
},
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"len([d for d in distances if d < 100])"
]
},
{
"cell_type": "code",
"execution_count": 15,
"id": "e50f9d29-5518-4f0a-b26e-49c8ee8d20e4",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"387"
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"len(distances)"
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "7202767e-13ac-4615-8546-2c4c961b6b44",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import matplotlib.pyplot as plt\n",
"%matplotlib inline\n",
"\n",
"\n",
"plt.hist(distances, density=True, bins=100) # density=False would make counts\n",
"plt.ylabel('Count')\n",
"plt.xlabel('Distance');"
]
},
{
"cell_type": "markdown",
"id": "b642de17-23c3-41bb-bc4e-fbddf661caca",
"metadata": {},
"source": [
"## 2.2 Annotations\n",
"\n",
"Loading and parsing the annotations for each point of interest"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "58e23281-82a1-4d68-8d67-a4df237a91a3",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"\u001b[32m2024-12-14 19:20:15.464\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36m__main__\u001b[0m:\u001b[36m<module>\u001b[0m:\u001b[36m21\u001b[0m - \u001b[1mtotal annotations: 4386\u001b[0m\n"
]
}
],
"source": [
"# reading annotation files\n",
"with open('dataset/annotations.json') as fp:\n",
" raw_annotations = json.load(fp)\n",
"\n",
"\n",
"annotations = {}\n",
"for annotation_record in raw_annotations:\n",
" page = None\n",
" annotation = []\n",
" for info in annotation_record:\n",
" if 'page' in info.keys():\n",
" page = str(info['page'])\n",
" elif 'type' in info.keys() and 'osm_id' in info.keys():\n",
" annotation.append(f\"{info['type']}:{info['osm_id']}\")\n",
" else:\n",
" logger.error(f'structural issues: {info}')\n",
"\n",
" if page is not None:\n",
" annotations[page] = annotation\n",
"\n",
"logger.info(f'total annotations: {len(annotations)}')"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "18b62bb9-c105-4078-8100-f054ae3b1377",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'0': ['way:1089591567'],\n",
" '1': ['way:1007494584'],\n",
" '2': [],\n",
" '3': [],\n",
" '4': ['way:30501938', 'way:30501933'],\n",
" '5': ['relation:9212157'],\n",
" '6': ['way:69366108', 'way:69366081'],\n",
" '7': ['node:4583492091',\n",
" 'node:11158854688',\n",
" 'node:11158854687',\n",
" 'node:11158854665'],\n",
" '8': ['node:3621405496'],\n",
" '9': [],\n",
" '10': ['node:831201041'],\n",
" '11': [],\n",
" '12': ['way:26564416'],\n",
" '13': ['way:49961266'],\n",
" '14': ['way:26564392', 'node:6758200723'],\n",
" '15': ['node:5371634608'],\n",
" '16': ['node:7228362154', 'way:32710391'],\n",
" '17': ['way:435967756'],\n",
" '18': ['way:436339688',\n",
" 'way:436339689',\n",
" 'way:436339690',\n",
" 'way:1215583957',\n",
" 'way:436339691',\n",
" 'way:436339692',\n",
" 'way:1215583958',\n",
" 'way:436339693',\n",
" 'way:1215583959',\n",
" 'way:436339694',\n",
" 'way:436339695',\n",
" 'way:1215583956',\n",
" 'way:436339696',\n",
" 'way:436339697',\n",
" 'way:1215583960',\n",
" 'way:436339698'],\n",
" '19': [],\n",
" '21': ['node:368393200'],\n",
" '22': ['way:4817074'],\n",
" '23': ['relation:6623509', 'way:4817059', 'node:6810298878'],\n",
" '24': ['relation:6614802', 'node:2377861041'],\n",
" '25': ['way:29369985'],\n",
" '26': ['way:30066634'],\n",
" '27': ['way:830995837', 'way:830995836', 'way:830995835'],\n",
" '28': ['node:6515021014'],\n",
" '29': ['node:331165028'],\n",
" '30': [],\n",
" '31': ['way:743137721'],\n",
" '32': ['way:668210311'],\n",
" '33': ['way:288182899'],\n",
" '34': ['way:144670568'],\n",
" '35': ['node:1581955590'],\n",
" '36': ['node:6457301034'],\n",
" '37': ['node:6471366437'],\n",
" '38': ['way:687712378'],\n",
" '39': ['way:632497723'],\n",
" '40': ['way:686511907'],\n",
" '41': ['way:686511908'],\n",
" '42': ['way:686511908'],\n",
" '43': [],\n",
" '44': [],\n",
" '45': [],\n",
" '46': ['way:686515751'],\n",
" '47': ['way:686249534'],\n",
" '48': ['node:1998491084'],\n",
" '49': ['way:686249537'],\n",
" '50': ['way:689417079'],\n",
" '51': ['way:686249528'],\n",
" '52': ['way:686249531'],\n",
" '53': ['node:6485063081'],\n",
" '54': ['node:6485063082'],\n",
" '55': ['way:687252351'],\n",
" '56': ['way:687252358'],\n",
" '57': ['way:680652205'],\n",
" '58': ['way:687252477'],\n",
" '59': ['node:9810267033'],\n",
" '60': [],\n",
" '61': ['way:687253356'],\n",
" '62': ['way:688057979'],\n",
" '63': ['node:6469255452'],\n",
" '64': ['way:688057382', 'node:9503968372'],\n",
" '65': ['way:687904953'],\n",
" '66': ['way:189332445'],\n",
" '67': ['node:9810267032'],\n",
" '68': ['way:675079682'],\n",
" '69': ['way:686511921'],\n",
" '70': ['way:686511916'],\n",
" '71': ['node:10635926320'],\n",
" '72': [],\n",
" '73': [],\n",
" '74': ['way:1098427843'],\n",
" '75': [],\n",
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" '999': ['way:1231396207'],\n",
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" ...}"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"annotations"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "d3eb4ef7-4395-4d47-9f1b-752803bcf79b",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'version': '0.6',\n",
" 'generator': 'openstreetmap-cgimap 2.0.1 (541736 spike-08.openstreetmap.org)',\n",
" 'copyright': 'OpenStreetMap and contributors',\n",
" 'attribution': 'http://www.openstreetmap.org/copyright',\n",
" 'license': 'http://opendatacommons.org/licenses/odbl/1-0/',\n",
" 'elements': [{'type': 'way',\n",
" 'id': 26564416,\n",
" 'timestamp': '2022-11-08T23:44:08Z',\n",
" 'version': 13,\n",
" 'changeset': 128661596,\n",
" 'user': 'MapAbility',\n",
" 'uid': 13782447,\n",
" 'nodes': [291210982,\n",
" 291210974,\n",
" 291210988,\n",
" 291210981,\n",
" 291210998,\n",
" 5651652284,\n",
" 5651652286,\n",
" 5651652285,\n",
" 291210982],\n",
" 'tags': {'brand': 'YMCA',\n",
" 'brand:wikidata': 'Q157169',\n",
" 'building': 'yes',\n",
" 'heritage': 'yes',\n",
" 'leisure': 'sports_centre',\n",
" 'name': 'Melbourne City Baths',\n",
" 'operator': 'ymca',\n",
" 'sport': 'swimming',\n",
" 'wikidata': 'Q2786840',\n",
" 'wikipedia': 'en:City Baths, Melbourne'}}]}"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# download all information from OSM for these matched POIs\n",
"api_endpoint = 'https://www.openstreetmap.org/api/0.6/{0}/{1}.json'\n",
"headers = {\"Content-Type\": \"application/json; charset=utf-8\"}\n",
"\n",
"def get_info(info):\n",
" if info.lower() == 'flag':\n",
" logger.warning('still a flagged record')\n",
" return {}\n",
" otype = info.lower().split(':')[0]\n",
" oid = info.lower().split(':')[1]\n",
" if otype not in ['node', 'way', 'relation']:\n",
" logger.warning('wrong type - {}'.format(otype))\n",
" resp = requests.get(api_endpoint.format(otype, oid), headers=headers)\n",
" return resp.json()\n",
"\n",
"get_info('way:26564416') # testing"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "e93c01a7-3a89-4a6c-b53b-528f3baff8e6",
"metadata": {},
"outputs": [],
"source": [
"# Error log for later checkup:\n",
"# 2/4386 [00:03<1:56:13, 1.59s/it]2024-08-03 10:03:47.158 | ERROR | __main__:<module>:12 - 4:way:30501938 error\n",
"# 103/4386 [02:56<2:25:38, 2.04s/it]2024-08-03 10:06:40.457 | ERROR | __main__:<module>:12 - 104:node:flag error\n",
"# 104/4386 [02:57<2:05:28, 1.76s/it]2024-08-03 10:06:41.566 | ERROR | __main__:<module>:12 - 105:node:flag error\n",
"# 123/4386 [03:40<2:34:06, 2.17s/it]2024-08-03 10:07:24.255 | ERROR | __main__:<module>:12 - 129:way:1008233190 error\n",
"# 129/4386 [03:41<1:21:47, 1.15s/it]2024-08-03 10:07:25.332 | ERROR | __main__:<module>:12 - 130:way:1008233190 error\n",
"# 130/4386 [03:42<1:21:11, 1.14s/it]2024-08-03 10:07:26.427 | ERROR | __main__:<module>:12 - 131:way:1008233190 error\n",
"# 133/4386 [03:46<1:30:56, 1.28s/it]2024-08-03 10:07:30.706 | ERROR | __main__:<module>:12 - 136:node:flag error\n",
"# 136/4386 [03:47<1:01:56, 1.14it/s]2024-08-03 10:07:31.804 | ERROR | __main__:<module>:12 - 137:node:flag error\n",
"# 205/4386 [05:18<2:05:45, 1.80s/it]2024-08-03 10:09:02.044 | ERROR | __main__:<module>:12 - 207:node:flag error\n",
"# 231/4386 [05:39<1:01:43, 1.12it/s]2024-08-03 10:09:23.175 | ERROR | __main__:<module>:12 - 234:node:flag error\n",
"# 270/4386 [06:33<1:39:43, 1.45s/it]2024-08-03 10:10:17.014 | ERROR | __main__:<module>:12 - 271:node:flag error\n",
"# 297/4386 [07:22<1:50:19, 1.62s/it]2024-08-03 10:11:06.058 | ERROR | __main__:<module>:12 - 308:node:flag error\n",
"# 457/4386 [10:10<1:13:11, 1.12s/it]2024-08-03 10:13:54.346 | ERROR | __main__:<module>:12 - 459:node:flag error\n",
"# 459/4386 [10:11<1:01:12, 1.07it/s]2024-08-03 10:13:55.578 | ERROR | __main__:<module>:12 - 460:node:flag error\n",
"# 661/4386 [13:33<1:21:48, 1.32s/it]2024-08-03 10:17:17.132 | ERROR | __main__:<module>:12 - 662:node:8850035047 error\n",
"# 712/4386 [14:45<1:57:02, 1.91s/it]2024-08-03 10:18:29.385 | ERROR | __main__:<module>:12 - 713:node:flag error\n",
"# 729/4386 [15:06<1:01:31, 1.01s/it]2024-08-03 10:18:50.404 | ERROR | __main__:<module>:12 - 731:way:1009404233 error\n",
"# 966/4386 [20:11<1:03:43, 1.12s/it]2024-08-03 10:23:57.022 | ERROR | __main__:<module>:12 - 970:node:316598549 error\n",
"# 1208/4386 [25:12<15:44, 3.37it/s]2024-08-03 10:28:56.058 | ERROR | __main__:<module>:12 - 1209:way:277584589 error\n",
"# 1648/4386 [33:41<2:05:48, 2.76s/it]2024-08-03 10:37:25.365 | ERROR | __main__:<module>:12 - 1649:node:2397398815 error\n",
"# 1653/4386 [33:53<1:42:39, 2.25s/it]2024-08-03 10:37:37.538 | ERROR | __main__:<module>:12 - 1654:node:flag error\n",
"# 1778/4386 [36:03<1:01:09, 1.41s/it]2024-08-03 10:39:47.312 | ERROR | __main__:<module>:12 - 1779:way:490502525 error\n",
"# 2024/4386 [40:52<41:47, 1.06s/it]2024-08-03 10:44:36.498 | ERROR | __main__:<module>:12 - 2028:way:1009406415 error\n",
"# 2030/4386 [40:54<28:58, 1.36it/s]2024-08-03 10:44:38.648 | ERROR | __main__:<module>:12 - 2032:way:1009406415 error\n",
"# 2402/4386 [47:27<53:14, 1.61s/it]2024-08-03 10:51:11.918 | ERROR | __main__:<module>:12 - 2403:node:2397398815 error\n",
"# 2472/4386 [48:56<26:37, 1.20it/s]2024-08-03 10:52:40.128 | ERROR | __main__:<module>:12 - 2473:way: 12283703 error\n",
"# 3052/4386 [1:01:32<33:49, 1.52s/it]2024-08-03 11:05:16.546 | ERROR | __main__:<module>:12 - 3054:node:4469652313 error\n",
"# 3270/4386 [1:05:39<12:45, 1.46it/s]2024-08-03 11:09:23.517 | ERROR | __main__:<module>:12 - 3272:way:1007170487 error\n",
"# 3484/4386 [1:09:48<19:36, 1.30s/it]2024-08-03 11:13:35.092 | ERROR | __main__:<module>:12 - 3485:way:799508737 error\n",
"# 2024-08-03 11:13:36.200 | ERROR | __main__:<module>:12 - 3485:way:934955492 error\n",
"# 3582/4386 [1:11:43<22:12, 1.66s/it]2024-08-03 11:15:27.897 | ERROR | __main__:<module>:12 - 3588:node:4682651695 error\n",
"# 3704/4386 [1:13:37<15:16, 1.34s/it]2024-08-03 11:17:21.901 | ERROR | __main__:<module>:12 - 3710:node:3838183016 error\n",
"# 4386/4386 [1:23:20<00:00, 1.14s/it]"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "2ecf5e5c-8780-4b28-b9c4-a04ce2a633b0",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"\u001b[32m2024-12-14 19:20:23.935\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36m__main__\u001b[0m:\u001b[36m<module>\u001b[0m:\u001b[36m8\u001b[0m - \u001b[1mannotation details are loaded from cache\u001b[0m\n"
]
}
],
"source": [
"from tqdm import tqdm\n",
"import time \n",
"\n",
"if os.path.isfile('outputs/annotations_details_osm_info.json'):\n",
" with open('outputs/annotations_details_osm_info.json') as fp:\n",
" osm_detailed_information = json.load(fp)\n",
"\n",
" logger.info('annotation details are loaded from cache')\n",
"else:\n",
" logger.info('annotation cache cannot be found, will fetch the results from OSM')\n",
" # save all information about the matched records\n",
" osm_detailed_information = {}\n",
" for poi_id, matches in tqdm(annotations.items()):\n",
" osm_detailed_information[poi_id] = {}\n",
" for match in matches:\n",
" try:\n",
" osm_detailed_information[poi_id][match] = get_info(match)\n",
" time.sleep(0.5) # for polite crawling\n",
" except Exception as e:\n",
" logger.error(f'{poi_id}:{match} error', exc_info=True)\n",
" with open('outputs/annotations_details_osm_info.json', 'w', encoding='utf-8') as fp:\n",
" json.dump(osm_detailed_information, fp)\n",
" logger.info('annotation details are saved and will be loaded the later runs...')"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "e25f3251-a0bd-4b1e-977e-56faf048f36e",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"\u001b[32m2024-12-14 19:20:26.503\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36m__main__\u001b[0m:\u001b[36m<module>\u001b[0m:\u001b[36m5\u001b[0m - \u001b[1m\n",
"annotation details are available for: 3255 osm entities out of 2379 matched pois\n",
"Note that the relationship is not one to one\u001b[0m\n"
]
}
],
"source": [
"poi_matched_and_founds = [p for p,v in osm_detailed_information.items() if len(v) > 0]\n",
"poi_not_matched = [p for p in osm_detailed_information.keys() if p not in poi_matched_and_founds]\n",
"osm_matched_and_founds = [len(v) for v in osm_detailed_information.values()]\n",
"\n",
"logger.info(f'\\nannotation details are available for: {sum(osm_matched_and_founds)} osm entities out of {len(poi_matched_and_founds)} matched pois\\nNote that the relationship is not one to one')"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "32ea698b-54de-4d3c-aa23-fbf17f10f4b3",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'way:1007494584': {'version': '0.6',\n",
" 'generator': 'CGImap 0.9.3 (987906 spike-08.openstreetmap.org)',\n",
" 'copyright': 'OpenStreetMap and contributors',\n",
" 'attribution': 'http://www.openstreetmap.org/copyright',\n",
" 'license': 'http://opendatacommons.org/licenses/odbl/1-0/',\n",
" 'elements': [{'type': 'way',\n",
" 'id': 1007494584,\n",
" 'timestamp': '2024-06-29T04:38:50Z',\n",
" 'version': 3,\n",
" 'changeset': 153317242,\n",
" 'user': 'Fizzie41',\n",
" 'uid': 461130,\n",
" 'nodes': [9294714213,\n",
" 9294714214,\n",
" 9294714215,\n",
" 9294714216,\n",
" 9294780017,\n",
" 9294780018,\n",
" 9294780019,\n",
" 9294780020,\n",
" 9294780021,\n",
" 9294780022,\n",
" 9294780023,\n",
" 9294780024,\n",
" 9294780025,\n",
" 9294780026,\n",
" 9294780027,\n",
" 9294780028,\n",
" 9294780029,\n",
" 9294780030,\n",
" 9294780031,\n",
" 9294780032,\n",
" 9294780033,\n",
" 9294780034,\n",
" 9294780035,\n",
" 9294780036,\n",
" 9294780037,\n",
" 9294780038,\n",
" 9294780039,\n",
" 9294780040,\n",
" 9294780041,\n",
" 9294780042,\n",
" 9294780043,\n",
" 9294780044,\n",
" 9294780045,\n",
" 9294780046,\n",
" 9294780047,\n",
" 9294780048,\n",
" 9294780049,\n",
" 9294780050,\n",
" 9294780051,\n",
" 9294780052,\n",
" 9294780053,\n",
" 9294780054,\n",
" 9294714213],\n",
" 'tags': {'name': 'Fairhaven', 'natural': 'beach', 'surface': 'sand'}}]}}"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"osm_detailed_information['1']"
]
},
{
"cell_type": "markdown",
"id": "7497b782-8acc-4013-b946-373b46e1e4e2",
"metadata": {},
"source": [
"## 2.3 Nearby OSM features\n",
"This will load already stored nearby features - see the `2. annotation analysis.ipynb` for more details."
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "12bc3fea-897a-4153-b173-0dd7fbc99a2f",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [00:12<00:00, 2.51s/it]\n",
"100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [00:14<00:00, 2.90s/it]\n"
]
}
],
"source": [
"# load nearby features:\n",
"def get_osm_poi_nearby(key):\n",
" logger.debug('key: {}'.format(key))\n",
" dist_threshold = 200 # for normal cases\n",
" if os.path.isfile('dataset/osm-poi-{0}-dist-{1}-features.geojson'.format(key, dist_threshold)):\n",
" features = gpd.read_file('dataset/osm-poi-{0}-dist-{1}-features.geojson'.format(key, dist_threshold))\n",
" else:\n",
" features = gpd.read_file('dataset/osm-poi-{0}-dist-{1}-features.geojson'.format(key, 1000))\n",
" features = features.to_crs('EPSG:32755')\n",
" return features\n",
"\n",
"def get_osm_pois_nearby(poi_keys):\n",
" osm_pois = {}\n",
" for key in tqdm(poi_keys):\n",
" features = get_osm_poi_nearby(key)\n",
" osm_pois[key] = features\n",
" return osm_pois\n",
"\n",
"matched_nearby_features = get_osm_pois_nearby(poi_matched_and_founds[:5])\n",
"unmatched_nearby_features = get_osm_pois_nearby(poi_not_matched[:5])"
]
},
{
"cell_type": "markdown",
"id": "02e84a79-f866-4aca-ad4d-38bc2d572ae0",
"metadata": {},
"source": [
"## 3. Topics/SubClass/Class Relation to OSM KeyValues\n",
"\n",
"To study how POIs belonging to each cateogries is described in OSM\n",
"\n",
"Can we find from OSM key values which kind of POI we are dealing with? - Context: we already know about the quality issue of OSM attributes and if the POIs are well document (community care about them), we can expect a good coverage of attribute information!)"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "b91f3931-2cea-48b4-a72f-1e05e622462c",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Index(['index', 'record_id', 'record_title', 'record_description', 'poi_title',\n",
" 'poi_summary', 'latitude', 'longitude', 'geometry', 'Unnamed: 0',\n",
" 'topic', 'document', 'is_found', 'class', 'Class', 'Class ID', 'Count',\n",
" 'Name', 'Representation', 'Representative_Docs', 'Subclass'],\n",
" dtype='object')"
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"detailed_df.columns"
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "6c9d568a-0847-484e-9f89-8c7948ccc19a",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>index</th>\n",
" <th>record_id</th>\n",
" <th>topic</th>\n",
" <th>Class ID</th>\n",
" <th>Class</th>\n",
" <th>Subclass</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" <td>0.0</td>\n",
" <td>nature</td>\n",
" <td>natural landmarks</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" <td>0.0</td>\n",
" <td>nature</td>\n",
" <td>natural landmarks</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>0.0</td>\n",
" <td>nature</td>\n",
" <td>flora and funa</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>3</td>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" <td>0.0</td>\n",
" <td>nature</td>\n",
" <td>natural landmarks</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>4</td>\n",
" <td>1</td>\n",
" <td>23</td>\n",
" <td>0.0</td>\n",
" <td>nature</td>\n",
" <td>natural landmarks</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" index record_id topic Class ID Class Subclass\n",
"0 0 1 2 0.0 nature natural landmarks\n",
"1 1 1 2 0.0 nature natural landmarks\n",
"2 2 1 1 0.0 nature flora and funa\n",
"3 3 1 2 0.0 nature natural landmarks\n",
"4 4 1 23 0.0 nature natural landmarks"
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"filtered_df = detailed_df[['index', 'record_id', 'topic', 'Class ID', 'Class', 'Subclass']]\n",
"filtered_df.head()\n",
"# 4 concepts are captured about POIs in this dataframe\n",
"# Points of interest: index column\n",
" # 1. Leisure walk: record_id column\n",
" # 2. detailed topic: topic column\n",
" # 3. Sub-class (aggregation of topics): Subclass\n",
" # 4. Class (aggregation of subclasses): Class"
]
},
{
"cell_type": "code",
"execution_count": 14,
"id": "11a8ac1e-2112-4fd6-9f33-4c3ed37b7cec",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'boundary protected_area iucn_level III leisure nature_reserve operator Victorian Department of Environment, Land, Water and Planning protect_class protection_title Marine Sanctuary ref:capad:pa_id ref:vicmap:prims_id source CAPAD start_date -- type boundary'"
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from string import digits\n",
"\n",
"def get_all_key_values(poi_id):\n",
" if poi_id not in osm_detailed_information.keys():\n",
" logger.info(f'missing key in OSM details: {poi_id}')\n",
" return []\n",
" all_info = osm_detailed_information[poi_id]\n",
" tags = []\n",
" for oid, values in all_info.items():\n",
" if 'elements' in values.keys():\n",
" tmp_tags = [[k+' '+v for k,v in elem['tags'].items() if 'name' not in k] for elem in values['elements'] if 'tags' in elem]\n",
" tmp_tags = [t for tag in tmp_tags for t in tag]\n",
" tags.extend(tmp_tags)\n",
" return remove_digits(' '.join(tags))\n",
"\n",
"def remove_digits(s):\n",
" remove_digits = str.maketrans('', '', digits)\n",
" res = s.translate(remove_digits)\n",
" return res\n",
"\n",
"\n",
"get_all_key_values('5')\n",
"# osm_detailed_information['1']['way:1007494584']['elements']"
]
},
{
"cell_type": "code",
"execution_count": 15,
"id": "a9a66cef-eeed-4209-a96c-60288cd0a2df",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"\u001b[32m2024-12-14 19:21:05.351\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36m__main__\u001b[0m:\u001b[36mget_all_key_values\u001b[0m:\u001b[36m5\u001b[0m - \u001b[1mmissing key in OSM details: 20\u001b[0m\n",
"\u001b[32m2024-12-14 19:21:05.395\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36m__main__\u001b[0m:\u001b[36mget_all_key_values\u001b[0m:\u001b[36m5\u001b[0m - \u001b[1mmissing key in OSM details: 3551\u001b[0m\n",
"\u001b[32m2024-12-14 19:21:05.396\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36m__main__\u001b[0m:\u001b[36mget_all_key_values\u001b[0m:\u001b[36m5\u001b[0m - \u001b[1mmissing key in OSM details: 3552\u001b[0m\n",
"\u001b[32m2024-12-14 19:21:05.397\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36m__main__\u001b[0m:\u001b[36mget_all_key_values\u001b[0m:\u001b[36m5\u001b[0m - \u001b[1mmissing key in OSM details: 3553\u001b[0m\n",
"\u001b[32m2024-12-14 19:21:05.397\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36m__main__\u001b[0m:\u001b[36mget_all_key_values\u001b[0m:\u001b[36m5\u001b[0m - \u001b[1mmissing key in OSM details: 3554\u001b[0m\n",
"\u001b[32m2024-12-14 19:21:05.397\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36m__main__\u001b[0m:\u001b[36mget_all_key_values\u001b[0m:\u001b[36m5\u001b[0m - \u001b[1mmissing key in OSM details: 3555\u001b[0m\n"
]
},
{
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" <td>0.0</td>\n",
" <td>nature</td>\n",
" <td>natural landmarks</td>\n",
" <td>addr:housenumber addr:postcode addr:street G...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" <td>0.0</td>\n",
" <td>nature</td>\n",
" <td>natural landmarks</td>\n",
" <td>natural beach surface sand</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>0.0</td>\n",
" <td>nature</td>\n",
" <td>flora and funa</td>\n",
" <td></td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>3</td>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" <td>0.0</td>\n",
" <td>nature</td>\n",
" <td>natural landmarks</td>\n",
" <td></td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>4</td>\n",
" <td>1</td>\n",
" <td>23</td>\n",
" <td>0.0</td>\n",
" <td>nature</td>\n",
" <td>natural landmarks</td>\n",
" <td>waterway stream</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" index record_id topic Class ID Class Subclass \\\n",
"0 0 1 2 0.0 nature natural landmarks \n",
"1 1 1 2 0.0 nature natural landmarks \n",
"2 2 1 1 0.0 nature flora and funa \n",
"3 3 1 2 0.0 nature natural landmarks \n",
"4 4 1 23 0.0 nature natural landmarks \n",
"\n",
" tags \n",
"0 addr:housenumber addr:postcode addr:street G... \n",
"1 natural beach surface sand \n",
"2 \n",
"3 \n",
"4 waterway stream "
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"filtered_df['tags'] = filtered_df.apply(lambda row: get_all_key_values(str(row['index'])), axis=1)\n",
"filtered_df.head()"
]
},
{
"cell_type": "code",
"execution_count": 16,
"id": "64799313-61ba-4c41-8679-ac5cccde0c4a",
"metadata": {},
"outputs": [],
"source": [
"from sklearn.feature_extraction.text import TfidfVectorizer\n",
"from sklearn.model_selection import train_test_split\n",
"\n",
"labelled_filtered_df = filtered_df[filtered_df['Class'] != 'unknown']\n",
"\n",
"labelled_filtered_df['class_id'] = labelled_filtered_df['Class'].astype('category').cat.codes\n",
"target = labelled_filtered_df['class_id']\n",
"data = labelled_filtered_df['tags'].astype(str)\n",
"\n",
"data_train, data_test, target_train, target_test = train_test_split(data, target, test_size=0.2, random_state=432)\n",
"\n",
"vectorizer = TfidfVectorizer(sublinear_tf=True, max_df=0.5, min_df=5, stop_words=\"english\")\n",
"X_train = vectorizer.fit_transform(data_train)\n",
"X_test = vectorizer.transform(data_test)"
]
},
{
"cell_type": "code",
"execution_count": 17,
"id": "fc894f1d-d6eb-41ea-ac82-dbc5de7564a9",
"metadata": {},
"outputs": [],
"source": [
"feature_names = vectorizer.get_feature_names_out()"
]
},
{
"cell_type": "code",
"execution_count": 18,
"id": "1350896f-24d0-40f3-ad62-7fde70751b7f",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array(['abandoned', 'access', 'addr', 'address', 'amenity', 'anglican',\n",
" 'arch', 'architect', 'area', 'arts_centre', 'artwork',\n",
" 'artwork_type', 'asphalt', 'attraction', 'au', 'australia',\n",
" 'australian_football', 'avenue', 'backrest', 'bakery', 'ballarat',\n",
" 'bare_rock', 'barrier', 'basketball', 'bay', 'bbq', 'beach',\n",
" 'bellair', 'bench', 'bendigo', 'bicycle', 'bin', 'bing', 'bmx',\n",
" 'board', 'boardwalk', 'boat', 'boulevard', 'boundary', 'bourke',\n",
" 'bowls', 'branch', 'brand', 'bridge', 'building', 'bus',\n",
" 'bus_stop', 'buses', 'cafe', 'capad', 'caravan_site', 'carlton',\n",
" 'category', 'cathedral', 'catholic', 'cemetery', 'centre',\n",
" 'changing_table', 'check_date', 'christian', 'church', 'city',\n",
" 'club', 'colour', 'com', 'community', 'community_centre',\n",
" 'compacted', 'concrete', 'construction', 'contact', 'council',\n",
" 'country', 'courthouse', 'covered', 'created_by', 'cricket',\n",
" 'cuisine', 'cultural_significance', 'cureton', 'cycleway',\n",
" 'deakin', 'denomination', 'department', 'description',\n",
" 'designated', 'designation', 'direction', 'dirt', 'disposal',\n",
" 'dog', 'drinking_water', 'drive', 'east', 'edu', 'education',\n",
" 'ele', 'electrified', 'email', 'en', 'environment', 'excellent',\n",
" 'exclusive', 'explore', 'facebook', 'fax', 'federation',\n",
" 'fedsquare', 'fee', 'female', 'fine_gravel', 'fitness',\n",
" 'fitness_station', 'fixme', 'flinders', 'floors', 'flush', 'foot',\n",
" 'footway', 'fountain', 'fr', 'fuel', 'garden', 'gardens', 'gate',\n",
" 'gauge', 'geometry', 'good', 'goulburn', 'gov', 'government',\n",
" 'gps', 'grades', 'grass', 'gravel', 'green', 'ground', 'hall',\n",
" 'handrail', 'height', 'heritage', 'high', 'highway', 'hiking',\n",
" 'historic', 'horse', 'hotel', 'house', 'housenumber', 'html',\n",
" 'http', 'https', 'identifiable_factor', 'imagery', 'incline',\n",
" 'info', 'information', 'inscription', 'intermediate',\n",
" 'intermittent', 'internet_access', 'isced', 'iucn_level',\n",
" 'kensington', 'kindergarten', 'king', 'knowledge', 'kyneton',\n",
" 'lake', 'land', 'landuse', 'lane', 'lane_markings', 'lanes',\n",
" 'layer', 'left', 'leisure', 'level', 'levels', 'library',\n",
" 'lighthouse', 'limited', 'lit', 'local', 'location', 'lydiard',\n",
" 'main', 'mall', 'man_made', 'map', 'marina', 'market',\n",
" 'marketplace', 'material', 'maxspeed', 'melbourne', 'memorial',\n",
" 'metal', 'metro', 'metropolitan', 'mildura', 'mo', 'mollison',\n",
" 'monument', 'motor_vehicle', 'motorcar', 'motorcycle', 'movement',\n",
" 'mtb', 'multipolygon', 'museum', 'museumsvictoria', 'national',\n",
" 'natural', 'nature', 'nature_reserve', 'nearmap', 'neighbourhood',\n",
" 'net', 'netball', 'network', 'nicholson', 'north', 'note', 'nsw',\n",
" 'office', 'old', 'olympic', 'oneway', 'opening_hours', 'operator',\n",
" 'org', 'outdoor_seating', 'pa_id', 'park', 'parking', 'parkres',\n",
" 'parks', 'parkville', 'path', 'paved', 'paving_stones', 'peak',\n",
" 'pedestrian', 'permissive', 'ph', 'phone', 'picnic_site',\n",
" 'picnic_table', 'pier', 'pitch', 'place', 'place_of_worship',\n",
" 'platform', 'playground', 'point', 'post', 'post_office',\n",
" 'postcode', 'potlatch', 'prims_id', 'private', 'protect_class',\n",
" 'protected_area', 'protection_title', 'ptv', 'pub', 'public',\n",
" 'public_transport', 'queen', 'rail', 'railway',\n",
" 'recreation_ground', 'ref', 'regional', 'religion', 'reserve',\n",
" 'reservoir', 'residential', 'restaurant', 'retail', 'right',\n",
" 'river', 'road', 'rock', 'roof', 'route', 'ruins', 'sa',\n",
" 'sac_scale', 'sand', 'scale', 'school', 'scrub', 'sculpture',\n",
" 'seamark', 'secondary', 'segregated', 'service', 'services',\n",
" 'shape', 'shelter', 'shelter_type', 'shop', 'short', 'sidewalk',\n",
" 'skateboard', 'slipway', 'smoking', 'smoothness', 'source',\n",
" 'south', 'sport', 'sports_centre', 'square', 'st', 'stadium',\n",
" 'start_date', 'state', 'station', 'statue', 'steps', 'stop',\n",
" 'stop_position', 'stream', 'street', 'structural_significance',\n",
" 'structure', 'su', 'suburb', 'supermarket', 'surface', 'survey',\n",
" 'swanston', 'swimming', 'swimming_pool', 'tactile_paving',\n",
" 'tennis', 'tertiary', 'th', 'theatre', 'tidal', 'toilets',\n",
" 'tourism', 'tourist', 'tower', 'town', 'townhall', 'track',\n",
" 'traffic_mode', 'trail_visibility', 'train', 'train_station',\n",
" 'trains', 'tram', 'transdev', 'transport', 'tree', 'trust', 'tu',\n",
" 'tunnel', 'type', 'unclassified', 'unimelb', 'unisex', 'unit',\n",
" 'uniting', 'university', 'unpaved', 'usage', 'vic', 'vic_',\n",
" 'vicmap', 'victoria', 'victorian', 'viewpoint', 'visibility',\n",
" 'visit', 'water', 'waterfall', 'waterway', 'way', 'website',\n",
" 'west', 'wetland', 'wharf', 'wheelchair', 'white', 'width',\n",
" 'wikidata', 'wikipedia', 'william', 'wlan', 'wood', 'www', 'yahoo',\n",
" 'yarra', 'yes'], dtype=object)"
]
},
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"feature_names"
]
},
{
"cell_type": "code",
"execution_count": 19,
"id": "3040fe89-fd6c-451c-9018-b550d6a69e7b",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"['estimator', 'fit_time', 'score_time', 'test_score']"
]
},
"execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from sklearn.linear_model import RidgeClassifier\n",
"from sklearn.model_selection import cross_validate\n",
"\n",
"clf = RidgeClassifier(tol=1e-2, solver=\"sparse_cg\")\n",
"cv_results = cross_validate(clf, X_train, target_train, cv=10, return_estimator=True)\n",
"\n",
"sorted(cv_results.keys())"
]
},
{
"cell_type": "code",
"execution_count": 20,
"id": "8fa84390-bc4d-47ef-a3e1-553eb55fb586",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array([0.6 , 0.5880597 , 0.54029851, 0.56119403, 0.5880597 ,\n",
" 0.55522388, 0.58083832, 0.57185629, 0.56886228, 0.52994012])"
]
},
"execution_count": 20,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"clf = cv_results['estimator'][cv_results['test_score'].argmax()]\n",
"cv_results['test_score']"
]
},
{
"cell_type": "code",
"execution_count": 21,
"id": "c68c0cc7-c2fc-41b3-b138-3ce5f8f78ce7",
"metadata": {},
"outputs": [],
"source": [
"pred = clf.predict(X_test)"
]
},
{
"cell_type": "code",
"execution_count": 23,
"id": "4746ab39-ff9d-4fe1-84db-53d006167144",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"['activities', 'nature', 'society', 'transport']"
]
},
"execution_count": 23,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"target_names"
]
},
{
"cell_type": "code",
"execution_count": 25,
"id": "a1fbf84d-09da-48ac-a639-68032dfe9543",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 1000x500 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import matplotlib.pyplot as plt\n",
"\n",
"from sklearn.metrics import ConfusionMatrixDisplay\n",
"target_names = (['misc', 'nature', 'activities', 'society', 'transport'])\n",
"fig, ax = plt.subplots(figsize=(10, 5))\n",
"ConfusionMatrixDisplay.from_predictions(target_test, pred, ax=ax)\n",
"ax.xaxis.set_ticklabels(target_names)\n",
"ax.yaxis.set_ticklabels(target_names)\n",
"_ = ax.set_title(\n",
" f\"Confusion Matrix for {clf.__class__.__name__}\\non the original documents\"\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 26,
"id": "1e26468e-623b-4a72-85af-f39b5543a28e",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'-1': {'precision': 1.0,\n",
" 'recall': 0.14285714285714285,\n",
" 'f1-score': 0.25,\n",
" 'support': 7.0},\n",
" '0': {'precision': 0.688,\n",
" 'recall': 0.4215686274509804,\n",
" 'f1-score': 0.5227963525835866,\n",
" 'support': 204.0},\n",
" '1': {'precision': 0.45792563600782776,\n",
" 'recall': 0.8181818181818182,\n",
" 'f1-score': 0.5872020075282308,\n",
" 'support': 286.0},\n",
" '2': {'precision': 0.6974789915966386,\n",
" 'recall': 0.37727272727272726,\n",
" 'f1-score': 0.4896755162241888,\n",
" 'support': 220.0},\n",
" '3': {'precision': 0.5555555555555556,\n",
" 'recall': 0.375,\n",
" 'f1-score': 0.44776119402985076,\n",
" 'support': 120.0},\n",
" 'accuracy': 0.5364396654719236,\n",
" 'macro avg': {'precision': 0.6797920366320044,\n",
" 'recall': 0.42697606315253367,\n",
" 'f1-score': 0.4594870140731714,\n",
" 'support': 837.0},\n",
" 'weighted avg': {'precision': 0.5954967463753476,\n",
" 'recall': 0.5364396654719236,\n",
" 'f1-score': 0.5230587657503337,\n",
" 'support': 837.0}}"
]
},
"execution_count": 26,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from sklearn.metrics import classification_report\n",
"classification_report(target_test, pred, output_dict=True) "
]
},
{
"cell_type": "code",
"execution_count": 27,
"id": "3358d208-cea9-40cb-a79b-7a58ddf29ad2",
"metadata": {},
"outputs": [],
"source": [
"tmp_dict = labelled_filtered_df[['Class', 'class_id']].groupby(by=['class_id', 'Class']).count().reset_index().to_dict(orient='records')\n",
"class_labels = {r['class_id']:r['Class'] for r in tmp_dict}"
]
},
{
"cell_type": "code",
"execution_count": 29,
"id": "23a34e58-6ef2-4722-9a35-08729664560f",
"metadata": {},
"outputs": [],
"source": [
"import shap\n",
"explainer = shap.Explainer(clf, X_train, feature_names=feature_names, output_names=['activities', 'nature', 'society', 'transport'])\n",
"explanation = explainer(X_train)"
]
},
{
"cell_type": "code",
"execution_count": 30,
"id": "2334e8b6-a839-426c-b48e-fdc1e350f9fe",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(3346, 398, 5)"
]
},
"execution_count": 30,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"explanation.shape"
]
},
{
"cell_type": "code",
"execution_count": 31,
"id": "fcf4b080-6bbb-467d-91e2-51ea47330728",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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MGzaM4OBgli5dysKFC8nJyaFChQo0atTomnP2ateuzYwZMxgyZAgDBgxg5syZliGYIiIiIlK86XEAIiIOSI8DEBGR21W64XmbMneznr6uHjcREREREXEgWpzEHiVuIleRlZVFYmLiv55XpkwZy8IpIiIiIiK3ghI3kavYt28fgwYN+tfzVq9eTaVKlQohIhEREZGST48DsE+Jm8hV3HXXXUyfPv1fz/P39y+EaERERETkdqbETeQqfHx8CuUB3SIiIiJyOfW42aPETUREREREHIaGStpnLOoARETk+vQPLuoIREREpKgocRMRcUDmUc782PXSfvaLBqa3Kbp4REREpGhpqKSIiIN6pKoz5lGX9nNycoouGBERkUKioZL2qcdNRERERETEwanHTUREREREHIh63OxRj5uIiIiIiIiDU4+biIiDM0zKBuBOD3jZpYiDERERucU0x80+9biJiDionJwcS9IGcCQNBib1KbqARERECoEZg80mStxERByW0+QrV5E0AAZ2JpUuinBERESkCClxExEpVgx8xuNFHYSIiIgUMiVuIiIiIiIiDk6Lk4iIiIiIiMPQnDb7lLiJiIiIiIgDUeJmj4ZKioiIiIiIODj1uImIiIiIiMPQUEn71OMmIiIiIiLi4NTjJiIiIiIiDkM9bvapx01uOxEREYSEhBAVFVXUoYiIiIiIDYOdTZS4SYHbvHkzs2bNKuowCk1ERASff/55UYchIiIiIiWYEjcpcJs3b2bOnDlFHUahiYiI4IsvvijqMERERERKBLOdTTTHTQpQWloaHh4eRR3GVaWmplKqVKmiDkPEoSUlZrNjaxLpaTnUe8ibwDvcCqTew1N/48jcP3HxcuH+cfeTuj+RrPgMyrcLIm75UZJ+PIPPQ+Wp+lY9nDxdbK5P/eE4qRv+xiW4DN5P1sLocemc88GTMf8VR97bu3u/ELw/7XJjAV64CC/Og9+ioUMovN7t5m5YRESkgClxE4uUlBQWLFjAL7/8QnR0NKmpqVSoUIEWLVrQv39/3N3dAYiKimLQoEGMHTuWtLQ0li1bRnR0NH369GHNmjXExMQAEBISYql75syZ7N27l5kzZ7Jq1SoCAwMBiI+Pp1WrVpjNZtatW0fZsmUBiI2NpV27djz33HMMGjTIUs/q1atZtmwZR48excnJiVq1atG3b18aNmxodS/h4eEEBATw0ksvMW3aNA4cOEDp0qVZvXr1Ve9//vz5TJs2jW7dujF69GiMxn/vkL78Hi//evXq1YwcOZKkpCQiIiJs6tq4cSMvv/wyr7/+Op06dbJ6TVNSUli6dCmxsbFUqFCB7t2707NnT5u2T5w4wZw5c9i5cyeJiYmUK1eOli1bMmDAAIdOoMVxXYjL4p3XT5CUYAJg3ap4nh8VSO0HPG+q3m19fiRm7SkA0nNS2fX4Dxhzco8dfecArqZsnDFz8ZdznPvqKPWPPYHRzclyffz/fibujZ8s+0mf7ifop14YnI2cc34DTHnT2A2YMZDxWRSmA2fw/eX56wswKwuqDIKLabn7kX/Bur3w4/9u6r5FRCR/tDiJfUrcxOLcuXOsWrWKli1b8vjjj2M0Gtm9ezcLFy7k999/Z9q0aVbnf/HFFyQmJtKpUyf8/PyoUKECd999N0uWLGHPnj1MmDDBcm61atVwcXFh5syZREZGWhK3yMhIzGYzRqORyMhIHn/8cUs5WCdD06dPZ968edSqVYvBgweTkZHB6tWrGTZsGBMmTLBcm+fMmTM8//zztGjRgubNm5Oammr3vnNycpg4cSLLli1j8ODB9OvX77pfswkTJjB37lwSEhJ46aWXLOVlypShU6dOvP/+++zYsYOHH37Y6rrVq1fj4eHBY489ZlX+1VdfERcXR+fOnSlVqhTr16/ngw8+IDEx0SqBPXToEIMGDcLb25vOnTtTvnx5/vzzT7788kv27dvH7NmzcXbWf2+5MZs3JFiSNoAcE3z3ddxNJ24x605ZvnZOz7EkbXmyjE4452QDkBmTytmvjlCx9125MaRlEf/OL1bnp/8SQ8q3R3A2ZF+WtOXK+zpn58nrD/CdlZeStjw/HYLT8VDJ7/rrERGRAqLEzR7NcROLwMBAvv32W0aPHk2PHj3o3r077777Ls8++yw7duzg4MGDVuefOXOGJUuW8Nxzz9G5c2caNWpE06ZNLUlZmzZtLJu/vz/33nsvpUqVsiRlkNt7V716dYKDg9m5c6elPDIyEjc3N+677z4Ajh8/zvz586lduzafffYZTz31FP369WPBggX4+fkxceJE0tKs//A6deoUL7zwAq+//jqdO3fmqaeesrnnjIwMXnnlFb7++mvGjRt3Q0lb3j36+fnh4eFhdb95++7u7nzzzTdW15w7d46ff/6ZRx99FE9P6z+IT5w4wfz58+nfvz9PPvkkn332Gffccw/z5s2z9GRCbsLo7+/PV199xcCBA+nUqRMvv/wyb7/9Nvv372ft2rU3dB+3Unx8PBkZGZb95ORkLl68aNnPzMwkLi7O6prL79XefmxsLGbzpRHvJbUNuCLDsaMg7+PypC1PYkL2zd/HZZMTDDm2MxWsSwxknki2tJFzMRNzSpbNNUl/nSV9yxGb8rw6gOv/fvx91m4tCb8eLZE/V2pDbagNtXE9bYjjUeImFi4uLpZemuzsbJKSkkhISKB+/foANolbmzZt8PX1ve76nZ2dqVu3rtUy/JGRkdSvX5/69etbJXS7du3i/vvvx9XVFYAtW7ZgNpvp3bu3pQzA19eXbt26kZSUZLO8f+nSpWnXrt1V40lKSuL555/nl19+4cMPP7zmufnh5eXFo48+ytatW7lw4YKlPCIiApPJRMeOHW2uad26NRUqVLDsu7i40KtXL0wmE1u3bgXgr7/+4s8//6RVq1ZkZWWRkJBg2erWrYuHhwc7duwo0Hu5GX5+fri5XZon5eXlhbe3t2Xf1dUVf39/q2sCAgKuuV+xYkUMhkufxpXUNq7nV3RB3scD9b1s6n+gvvdNt+FS+tJ8NJOr7T05m60T1HI97rS04VzeE/eHK1kdN7g6Ue6J+/D94Gr/Z83gYrz+78eL4bZVeLrh+2hIify5UhtqQ22ojetpoyiZ/xn6fvkmGiopV1i2bBkrVqzg6NGj5ORY/zF1+Sc3AJUrV77h+kNDQ9m+fTtHjhzB09OT6OhoQkJCcHFxYdGiRURHR2MymThz5gzdul1aHODUqdyhVtWrV7eps0aNGlbn5AkMDLzmPLXx48eTmprKnDlzqFu37g3fy/Xo3LkzERERfPvttzz11FOYzWZWr15N9erVLb2Jl6tWrZpNWd49R0dHA3Ds2DEA5syZc9XVO+Pj4wvqFuQ2cl89L7r1LseGiHjSU3Oo39iH9k/4//uF/6LF94/xf83Xk52cjcnViPFuH1xTssmMy8A3xI/MyLPkpORg9HTmzo8b4FGjtNX1Fb9qz9lBG0jd8DeuwWUoO7EpLkG5f5C4vfgwGR9ut5xrIAejAbxOv3L9AdapAu88BeO/gvQsKOcD37x60/ctIiJSkJS4icXixYv56KOPaNiwIT169KBs2bK4uLhw7tw5xo0bZ5PI5S1WciNCQ0OB3J42T09PnJycCAkJwcnJCWdnZ3bu3Glp5/L5bZcPB7jS1Y79W3yPPvooERERzJkzhw8++CBf9/Nv6tSpQ3BwMKtXr+app55i165dREdH8+KLL9o9//JPz/Lk3V/esbz9nj178sgjj9itx8fHpyDCl9tQizZlaNGmTIHW6VXFm45Huub7epcgbwLX2F8l0mdyW5jcNt91W7zaOXcTEZEipx42+5S4icV3331HpUqVmDJlilVP1fbt269xlS17yUeeu+66i9KlS7Nz5048PT2pWbMmXl65w7PuvfdeIiMjycnJwcvLi1q1almuCwoKAuDo0aNUrVrVqs4jR45YnXO9WrduTf369XnzzTd54YUX+PDDD/O1GuO17hegY8eOTJw4kf3797Nq1SpcXFxo29b+H5pHjx61KcvrYcubO5jX02k0GmnQoMENxysiIiIixY/muImFk5MTBoPBqgcrOzub+fPn31A9eclPUlKSzTGj0ciDDz7I7t27iYqKssyfg9zeuKioKHbt2sWDDz6Ik9Ol5cCbNm2KwWBg8eLFZGVdWqggMTGR5cuX4+PjQ7169W4oToDHHnuMd955h7179zJs2DBSUlJuuI5SpUpx8eLFq/b8tW3bFnd3dxYvXszGjRtp2rTpVecGrlu3jjNnzlj2s7Ky+Pzzz3FyciIsLAyAu+++mxo1arBy5UpOnrRdOS87O5vExMQbvg8RERERcVxK3MSiRYsWnDp1iuHDh7N8+XIWLFhA7969SU9Pv6F6ateuDcB7773Ht99+y/r1663mXIWEhJCcnMy5c+csQyfzyi9cuEBCQoJVOeT2MvXp04f9+/fTr18/Fi9ezNy5c+nduzdxcXGMGjUq388ua968Oe+//z6//fYbw4YNIzk5+Yauv/fee0lOTmbixImsXbuW9evXW61wmbdIycaNG8nIyKBDhw5XrSvvPj/99FM+//xz+vXrx2+//Ubfvn0tk4YNBgPjx4/H2dmZXr16MXHiRFasWMGSJUt47733aNu2rWUhExEREZHiRouT2KehkmLx9NNPYzabWbVqFR988AH+/v48+uijtG/f3mqhkH/TqlUrDh06xIYNG/j+++/Jyclh5syZ+PnlPg8pr5fN1dWV+++/33Ldfffdh5ubGxkZGTaJG8CQIUMICgpi2bJlzJgxA6PRSK1atXj11Vd56KGHburew8LCmDRpEqNHj+b5559n2rRp1z1PrFevXpw8eZL169ezbNkyywIklyeSnTp1IiIigkqVKl1zeOMTTzxBSkoKX331FbGxsVSsWJGRI0faPIA773l58+bNY+vWraxYsQJPT08CAgIIDw+3+/qJiIiISPFlMF9r1QcRKRC//fYbvXv3ZtCgQTz33HM2x6Oiohg0aBBjx44lPNzO0uRyWzJMyr7KkVQyR3jg4uJyleMiIiLF11nDmzZl5c3/LYJIHIt63EQKwZdffomTk9M1h0mKiIiICKChkXYpcROxIzEx0WoRFHvc3d0tK2Lak5aWxtatWzl69Chr166lY8eOlCtXrqBDFREREZHbgBI3ETtGjx7N7t27r3lOu3btGDdu3FWPX7hwgddff51SpUrRokULRowYUcBRioiIiJQ8msdln+a4idhx6NAhu48zuFy5cuWoXr16IUUktyPNcRMRkdvRGcMYm7IK5glFEIljUY+biB2XP/xbRERERAqPlv+3T89xExEpVszAjT1bUUREpDjRc9zsU+ImIuKg7nKzXz7L55tCjUNERESKnhI3EREH9fuwK0ezmwlnU5HEIiIiUngMdjbRHDcREQdmHnXp13RWVhbz5v1ddMGIiIhIkVHiJiIiIiIiDkNz2uxT4iYiIiIiIg5DzyqzT3PcREREREREHJx63ERERERExGFoqKR9StxERIoBw6Tsf77qC5jpW5TBiIiI3FJK3OzRUEkREQd3KWnLWxLZiOvHRRiQiIiIFDr1uImIiIiIiMPQUEn71OMmIiIiIiLi4NTjJiIiIiIiDkOPA7BPiZuIiIiIiDgMDZW0T0MlRUREREREHJx63ERERERExGGox80+9biJiIiIiIg4OPW4iYiIiIiIA1GPmz1K3EQKSEZGBp988gkbN27kzJkzlCpVis2bNxd1WCIiIiLFilaVtE+Jm0gBWbhwIUuWLOGpp54iODgYV1fXog5JREREREoIJW4iBeTnn38mODiYF154oahDERERESm2tDiJfUrcRG5CZmYmRqMRZ2dn4uLiqFChQlGHJLcLM5w4cIGLh86Tsugwntt+pXTyacoYzuNpSAcn4J47oGcYlPODKuUh5E4o5Q7pmeDqDEatTyUiIlJcKHGTEisjI4P58+ezYcMGYmNjcXZ2pmzZsjRs2JDRo0dz+vRp2rdvT//+/Rk4cKDVtbNmzWLOnDmsXr2aSpUqATBu3DjWrFnD999/z5QpU9i2bRsXLlxgzJgxjB8/HoBTp04REhICYKn34MGDLF++nP3793PmzBmcnJyoUaMGTz/9NM2aNbOJ+/z588ybN4+ffvqJs2fP4uXlRXBwML1796Zhw4aW806cOMGcOXPYuXMniYmJlCtXjpYtWzJgwAA8PDxu1csqDiSq8VrKpiRzR/Y5vEjFjRw8yLjshJMQtcT6IncXSM+Ccj4woScMalW4QYuIiPwL9bjZp8RNSqz33nuP1atX06ZNG3r27InZbCY6OppffvnlpuodMmQIZcuWpV+/fqSlpVGtWjUmTJjA5MmT8fX15dlnnwUgODgYgM2bN3PixAlatWpF+fLlSUxMZM2aNYwePZq33nqL1q1bW+o+ffo0/fr1Iz4+nrZt21KrVi3S0tI4cOAAO3futCRuhw4dYtCgQXh7e9O5c2fKly/Pn3/+yZdffsm+ffuYPXs2zs76713SeaZlEpgdjxdpGMnCm9P//laXnpX777kkGDwLHqgGDe661aGKiIhcNyVu9ukvOymxNm/eTKNGjZgwYUKB1hscHGzpYctTu3ZtZsyYgZ+fH23atLE61q9fP4YOHWpV1qNHD3r16sVnn31mlbi9++67nDt3jmnTpln1rgHk5ORYvp4wYQL+/v4sWrQIT09PS3loaCijR49m7dq1hIeH3/S9imMrlZOFK7mJmCsp+Xub+3aXEjcREZFiQBMcpMTy9vbmyJEj/PXXXwVa75NPPnlD518+bDE9PZ2EhATS09MJDQ3l2LFjJCcnA5CYmMjPP//MQw89ZJO0ARj/mY/0119/8eeff9KqVSuysrJISEiwbHXr1sXDw4MdO3bcxB0WrPj4eDIyLg3fS05O5uLFi5b9zMxM4uLirK6JiYm55n5sbCxm86XFgm+XNq6UZTCS88+vcRP5W8U0vbx3iXyt1IbaUBtqQ23cXBtFyWxnEzCYL/+ui5QgW7du5c033yQlJYXAwEDq1atH48aNadKkCUajMd9z3H766Sfc3d1t2gsPDycgIIDZs2dblcfHxzNjxgy2bNlCfHy8zXVr1qyhYsWKHDx4kD59+tC7d2+GDx9+1fv6/vvvee21165576GhocyYMeOa50jxYZiUbVtoNvPdG19QMSuBAPN5nMjBh5O4cfVEz8b9VWH7O1DKrcBiFRERuVl/GibalAWbRxdBJI5FQyWlxAoLCyMiIoLt27eza9cuIiMjWb16NbVr12bmzJkYDFcfWGYyma56zF7SdjU5OTkMGTKEv//+mx49enDPPffg5eWF0WgkIiKCdevWWQ2BvB55n7X07NmTRx55xO45Pj4+N1SnFE+/1yxL9u85ZGY6Ud4chwu+GMnEiQwMYDt0snJZ+GQgHDgOlcpAt4fBQ0mbiIg4Gs1xs0eJm5RoPj4+tG7d2jKPbPbs2cyePZsNGzbQokULAJKSkmyuO3XqVIG0nzes0V6v3jfffGO1f8cdd2AwGPjjjz+uWWflypWB3KGTDRo0KJA4pRgywAv72vz7efa0rVewsYiIiBQgLU5in+a4SYlkMpnszg2qWbMmkJuseXp64u/vT2RkpNU48ejoaDZv3lwgceTNS7tyRPJff/1l00bp0qV5+OGH2bFjh905anl13H333dSoUYOVK1dy8uRJm/Oys7NJTEwskPhFRERExDGox01KpNTUVFq3bk1YWBh33XUXfn5+xMbGsmLFCkqVKmV5flr37t2ZMWMGw4cPp0mTJpw/f54VK1Zw55138ttvv910HNWqVaN69eosXLiQ9PR0qlSpwokTJ/j666+58847OXz4sNX5L7/8Ms8++ywjRoygXbt21KpVi/T0dH799VcCAgIYPnw4BoOB8ePHM3jwYHr16kX79u2pXr066enpREdHs3HjRoYOHapVJUVERKRYUo+bfUrcpERyd3enZ8+eREZGsnPnTlJTU/H396dhw4b07duXwMBAAJ555hmSk5P57rvv2LVrF9WqVePNN9/k0KFDBZK4OTk58fHHH/PRRx+xZs0a0tLSuPPOOxk3bhx//PGHTeIWGBjIokWL+PTTT9m2bRvffvstPj4+BAcH06lTJ8t5d999N0uWLGHevHls3bqVFStW4OnpSUBAAOHh4YSGht507CIiIiLiOLSqpIiIg7O7qiRmzKNcCj0WERGRW+2wYbJNWU3zS0UQiWNRj5uIiIiIiDgMDZW0T4uTiIiIiIiIODj1uImIiIiIiMNQj5t96nETERERERFxcOpxExERERERh6GVE+1T4iYiIiIiIg5DQyXt01BJERERERERB6fETUTEwVV2u7LETGXXoohERETk1jNjsNlEiZuIiMM7PsyZC89D7qj/LD5wW8Bfg4s4KBERESlUStxERIoB31LOZI6AWT6L8HLLKepwREREbhmznU20OImIiIiIiDgQDY20Tz1uIiIiIiIiDk49biIiIiIi4jDU42afetxERIqRHUkVGJjUB9ePITI6u6jDERERkUKiHjcRkWLC9WOANvDPJ5H1v4TSZJMwSr/KRUSk5NBiJPbp3V5EpFixHj6SWERRiIiI3CoaKmmfhkqKiIiIiIg4OPW4iYiIiIiIA1GPmz1K3ERERERExGFoqKR9GiopIiIiIiLi4NTjJiIiIiIiDkOrStqnHjcREREREREHpx43ERERERFxGJrjZp8SNxERERERcRgaKmmfhkqKiIiIiIg4OCVuItfh888/JyIi4qbriYiI4PPPPy+AiERERERKphwMNpsocRO5Ll988UWBJW5ffPFFAUQkIiIiIrcTzXETkZLhdByEvgznkqB6RTj4ITg7Yz5yjpwlv4CzEVrVJvuHvzAdjMXs6oJTgyq4dqlN6qo/yToch3vzKni0ujPfIUTvvcCx7XH4VHSnVuuKuJbSr1gREZEbpcVJ7DOYzWbN/5PbWkZGBvPnz2fDhg3Exsbi7OxM2bJladiwIU8++STt27e3e11UVBQAGzZsYO3atfzxxx/Ex8dTqlQp6taty6BBgwgODracHxISYree1atXU6lSJUJCQmjXrh3jxo2zOh4REcH48eOZOXOmVR3JycnMnTuXjRs3cubMGTw9Palfvz7PP/88QUFBN/mqFEOGztb7TkZytk0ku9kHkJYFgNlgIMvsjhkjZiAbZ9K8/DAlmyyX+bzRCN//Nr3h5vcsPcnmD/+w7Je904uen4bg7O6Un7uxyzApC+y8mZlHKUEUEZGSY7thtk3Zw+YBRRCJY9G7vdz23nvvPVavXk2bNm3o2bMnZrOZ6OhofvnlF4YOHcqECROYPHkyvr6+PPvsszbXL1u2DF9fX7p27UqZMmWIjo5m5cqV9OvXj8WLF1O5cmUAJkyYwNy5c0lISOCll16yXF+mTJkbjjk5OZlnn32W2NhY2rdvT/Xq1Tl//jwrVqygT58+LFq0iICAgPy/KMVN27dsy0w5mAYtsCRtAAazGSeyyMYNA5CD0SppA7g46Rd8Rj+E0cftupvPMZnZMfeYVdn5I8n8seks9zx+G30fRERE5JbRHDe57W3evJlGjRoxYcIEunbtSrdu3XjxxRf58ssv8fDwoE2bNnh4eODn50ebNm0sW54pU6YwceJE+vbtS8eOHRk6dCiffvopWVlZVguRtGnTBj8/P0udeZuHh8cNxzxjxgxOnTrFp59+yqhRo+jcuTMDBgxg/vz5ZGVlMWvWrAJ5bQpCfHw8GRkZlv3k5GQuXrxo2c/MzCQuLs7qmpiYmGvux8bGcvlggezfT9lvPDrBTuHlgwzs9F6lZ5OTkG7TxrXuIycrh/SkLJu6Yo+dv6H7+LfXyj7rQRM320ZBfD/UhtpQG2pDbRT/NoqSGYPNJhoqKUKHDh0wmUx89NFH1KhRw+454eHhBAQEMHu2bdd9HrPZTEpKCtnZ2QAMGjQIZ2dnFi9ebDlnwIABxMTE2F3o5HqHSprNZlq2bMndd9/N22+/bVPP66+/zpEjR1i3bt313H7JsOUANB1rU2z6Xz9Mr6+2KsvClRxc/vnaiWRKc3kC51qvIhWj+t1wCCtf3MvfOy69KRqcDPRe0gC/Kp43XNfVaKikiIjcDrYZ5tiUNTL3L4JIHIve7eW2N3LkSN5880169OhBYGAg9erVo3HjxjRp0gSj8d87pQ8fPszMmTPZtWsXaWlpVscCAwMLPN4LFy6QmJjIzp07admypd1zrifuEqVJHWheBzYeuFQ25HGML7fGfCGNnDk/5S5O8mA1zHvOwIV0TGYDxuCKlHmyHsnL/iTr0HncW1TFb+bj+Qqh1Zv38MP7hzm2/TzeFd15ZHCNAk3aREREbhfqYbNPiZvc9sLCwoiIiGD79u3s2rWLyMhIVq9eTe3atZk5cybu7u5XvTY2Npb+/fvj5eVFv379qFq1Ku7u7hgMBj744AObRC4/TCbrOVh5neQhISH07dv3pusvMX4Yb1NkAJwndoWJXS1lrnYu9X6z6U03X8rPlfB377vpekRERG53Gg5onxI3EcDHx4fWrVvTunVrAGbPns3s2bPZsGED7du3x2Cw/8nPpk2bSEtL48MPP7RZNTIxMRFXV+s04Wr1AJQuXZrExESb8lOnrOdvlSlTBm9vb5KTk2nQoMF13Z+IiIiIFI7Dhw8zfvx4Nm/eTFxcHDt27ODBBx9k/PjxhIWF0axZs3zVe5uNpxKxZjKZ7C7+ULNmTQCSkpIA8PDwsHte3pDEK6eKrly50mYSMECpUqW4ePGizfkAlStX5sCBA6Snp1vKkpKSWL3aeo6W0WikdevWHD58mPXr19u9r/j4eLvlIiIiIo6uOC9OsnfvXkJDQ9myZQtNmza1GjmVnJzMzJkz8123etzktpaamkrr1q0JCwvjrrvuws/Pj9jYWFasWEGpUqUsn4jUrl2b1atXM2vWLKpUqYLBYKBVq1Y0atSIqVOnMmbMGLp37463tzf79u1j+/btBAUF2QxzvPfee/nxxx+ZOHEiderUwWg0EhYWhoeHB927d+fNN99k0KBBtGnThosXL/LNN98QEBBgkwQOGTKEffv28cYbb7B582bq1KmDi4sLMTExbNu2jVq1atksciIiIiIit9arr77Kfffdx/fff4+rqytfffWV5Vj9+vVZsWJFvutW4ia3NXd3d3r27ElkZCQ7d+4kNTUVf39/GjZsSN++fS2LiwwePJiEhAS++OILkpOTAWjVqhVBQUFMmTKF6dOnM2/ePIxGI/fffz+zZs3i/ffft1lat1evXpw8eZL169ezbNkyzGYzq1evxsPDg8cff5xz586xdOlSPvzwQwIDA3nuuecwGo0cPHjQqh4vLy/mzp3L4sWL+f7779m6dStOTk6UL1+eunXr0rFjx0J5/UREREQKWnHqYbvStm3bWLx4MaVKlbL5AL9ChQrExsbmu249DkBEpJjQ4wBEROR2sNkw16asqfnZIojkxnl5ebFs2TIef/xxTCYTLi4uREVF8eCDD7Jq1Sr69OnDhQsX8lW35riJiIiIiIgUgPvuu4+VK1faPbZu3Trq1auX77r1Ma2IiIiIiDiM4jxUcsSIEfTq1QtPT0+efvppAE6cOMHGjRuZO3cuy5cvz3fdStxEREREREQKwBNPPMGRI0cYN24cU6ZMAaBLly44Ozszfvx4wsPD8123EjcREREREXEYxX0Bjv/85z/07t2b9evXc+bMGcqWLUurVq2oUqXKTdWrxE1ERERERBxGcR4qmScoKIh+/foVaJ1K3ERERERERArAiRMn/vWcypUr56tuJW4iIiIiIuIwinOPW9WqVTEYrh3/lc93u15K3EREionMEeD6cQ6XnuVm0DPcREREHMjcuXNtErfz58+zevVqoqOjeeONN/Jdt97xRUSKkVk+8wHo27cvLi76FS4iIiVPTlEHcBP69Oljt3zkyJF069aNkydP5rtuPYBbREREREQchtlosNlKgj59+vDpp5/m+3olbiIiIiIiIrdYdnY2CQkJ+b5e42xERERERMRhmEtGB5tFVlYW+/fvZ+zYsdx///35rkeJm4iIiIiISAEwGo1XXVWyTJkyrF+/Pt91K3ETESkmBq6FeUl9c7/+GCBbq0qKiEiJU5zntI0ZM8YmcXN3d6dq1aq0adMGb2/vfNdtMJvN5psNUEREbj3DpCyw82wbJW8iIlKSfOe+yKasTfrTRRCJY9HiJCIixUDZSdlFHYKIiIgUIX1MKyJSDMQB9nrbREREShqzU/F6v5swYcJ1n2swGHjzzTfz1Y6GSoqIFAOGa/S4aaikiIiUJN96LrYpa5vyVBFEcn2MxusfxGgwGDCZTPlqR+/2IiIiIiLiMHKK2eIkOTk5hdKOEjcREREREXEYZq3CYZdeFhEREREREQenHjcREREREXEYxfk5bgBbt25lypQpHDp0iLS0NKtjBoOBI0eO5Kte9biJiIiIiIgUgJ9++okWLVqQmJjIoUOHqFmzJoGBgZw4cQJnZ2fCwsLyXbcSNxERERERcRhmg+1WXIwdO5a+ffuybt06AN566y1+/PFHdu/eTXJyMp07d8533UrcRC4zbtw4QkJCijoMERERkduW2Wiw2YqLgwcP0qlTJwyG3Jjzlv6/7777ePPNN2/omW9XUuImUsBmzZrF5s2bizoMERERESlkqampeHl5YTQacXNz4/z585ZjNWvW5Lfffst33UrcRArYnDlzlLjdaqlpsON3SMu85mlmUw7mjEsPrjanZmI25WCKS83dzzGTk5573JSWRdY/5SIiIlJ0cgy2W3FRuXJlzpw5A8A999zDt99+azm2ZcsW/P398123VpUUKUZSU1MpVapUUYdRtMo8DQmp5H7uZIAAX9g0Du6uZHVaxrs/kPHeJriYgaFJDTLPZpF98CxmDGTjBK4uZHp4kJ1oIs29FKb03IdnGko5U3NfdzxqlCnsOxMRERGK96qSTZs2ZfPmzXTt2pX+/fvz/PPPc+jQIdzc3NiwYQMjR47Md93qcROHlJGRwaxZs+jSpQuNGjWiSZMmdOnShYkTJ1qdFxUVxYgRI2jRogUPP/wwHTp0YMKECSQkJFiOh4SEEBERYdPG9c5nyzvvwoULjBkzhhYtWtCoUSMGDRrEoUOHrGLJq2/NmjWEhIQQEhJCeHh4vmIZMGAA4eHhREdH8/LLL9O8eXOrlYjOnz/PO++8Q9u2bWnYsCGtW7fmf//7H/Hx8f96T8VWr8mQkIIlaQOISYDuH1qdlrXmNzJe+w4S0jCbckjdeJLsg2cBMGDGmWzIzMYlMZl0nCxJG4A5NZs/GqwonPsRERGREmX8+PEMHz4cgEGDBjFp0iQSEhI4e/Ysb7zxBm+99Va+61aPmzik9957j9WrV9OmTRt69uyJ2WwmOjqaX375xXLOihUrePfdd6lQoQJdu3alYsWKxMbG8uOPP3LmzBl8fX0LNKZhw4bh4+ND//79iYuLY+nSpQwYMIC5c+cSHBxMtWrVmDBhAmPGjOGBBx6gU6dOADfVQ5aamsrAgQO5//77ef755y1JWWxsLH379iUrK4sOHToQFBREdHQ0y5cvJyoqikWLFuHl5VUg9+1QVuwgN2G74pO4/cfhxHmoXBaA7DWXxo+bMXLlZ1S5NZgxY8CEk00zpviMgo1bRERErltxWkXySmXLlqVs2bKW/ZdeeomXXnqpQOpWj5s4pM2bN9OoUSMmTJhA165d6datGy+++CJffvklAGfOnGHSpElUq1aNL7/8ksGDB9OpUycGDx7M559/TnBwcIHHFBAQwPTp0+nRowdDhgxh5syZpKen8+GHub09/v7+tGnTBoDAwEDatGlDmzZtaNq0ab7bTExMpH379rz99tt07dqVAQMGALmJbVZWFkuWLGHYsGF06tSJYcOGMWPGDE6fPs2SJUtu+n4LSnx8PBkZlxKh5ORkLl68aNnPzMwkLi7O6pqYmBj7+2U87bZh9nAlw8vFsp9d8VKybMAMmG2vsTp+BScDsbGxmM2XjhXoffzjRtuwL8dq72bbKIz7UBtqQ22oDbXh+G1I/kybNo0LFy7ckrqVuIlD8vb25siRI/z11192j//f//0fWVlZ9OvXz27PktFY8D/avXv3tiztClCrVi0aNGhAVFQUycnJBd5enieffNJq/+LFi2zbto3GjRvj5uZGQkKCZatUqRJBQUFWPZNFzc/PDzc3N8u+l5cX3t7eln1XV1ebiboBAQH293e9T27KZZ2sGMZ1w82vtGXfc1gTDHfm1mnAjLPRZHV+DkbMGDFhxI0srkzsyg66l4oVK1p9vwv0Pv5xo23YZ/2zfrNtFMZ9qA21oTbUhtpw/DaKktlgsNmKi+HDh1OpUiWeeOIJ1q9fb5Vg3ywNlRSHNHLkSN5880169OhBYGAg9erVo3HjxjRp0gSj0cjJkycBuOuuuwotpmrVqtkt27FjB6dPn74lsZQpU8YmMT1+/Dg5OTlERETYnS8HuT1+JVJgOTgyHeq/AhfSoHoFWDwCGlj3sBr9PfHa8xJZX+3FfCENr851yD6RRObW42QcPI8pKROv9neTU7oUPicvYqzpR+y7ezElZRIwPhS/7oX3cyUiIiLWitMqklc6dOgQc+fOZcmSJSxfvpyAgACeeeYZ+vTpc9MjwpS4iUMKCwsjIiKC7du3s2vXLiIjI1m9ejW1a9dm5syZ1/3pheEan9DkPRCxIFyrnZuJxd3d/arXtGrVivbt29s9dvmnbiVO9QA4v/BfTzN4u+P6XEPLvuudZXFtVp2rzfzz7VTww2tFRETk9nL33Xfz3nvv8c4777Bu3Trmz5/P5MmTeffdd3n44Yd59tln6du3b77qVuImDsvHx4fWrVvTunVrAGbPns3s2bPZsGEDVapUAeD333+32xOWp3Tp3OFziYmJNsdOnTp1Q/EcO3aMOnXq2JQZjcbrGl5QULEEBQVhMBjIzMykQYMG132diIiISHFQnB8HkMdoNFrWO0hISODzzz/n3XffpX///vlO3DTHTRyOyWSyuyBDzZo1AUhKSqJFixa4uLgwd+5cu/PL8nrkKlWqhJOTEzt37rQ6vm/fPg4cOHBDcS1cuNCqp+/w4cPs3LmTkJAQq+GMpUqVIikpyeb6gorF19eXRo0asXXrVvbu3Wtz3Gw237JJsSIiIiJy/ZKSkli6dCmLFi0iOjr6mqOp/o163MThpKam0rp1a8LCwrjrrrvw8/MjNjaWFStWUKpUKZo1a0aFChUYOXIk7733Hj169KBt27YEBARw9uxZtmzZwpgxY7j77rspVaoU4eHhfPPNN/znP/+hXr16nDx5koiICIKDg/njjz+uO66YmBiGDh1KWFgY58+fZ+nSpbi5ufHiiy9anVe7dm127tzJwoULqVChAh4eHoSFhRVoLK+++irPPfccgwYNok2bNtSsWZOcnBxOnTrF1q1badOmDQMHDrzu+kREREQcRXF+HECeH374gXnz5rFy5UrS0tJo0KABs2bNokePHvmuU4mbOBx3d3d69uxJZGQkO3fuJDU1FX9/fxo2bEjfvn0tC2907dqVoKAgFi5cyJdffklWVhblypUjNDSUChUqWOrLe3bGpk2b2LJlCzVr1mTy5MmsXLnyhpKlqVOnMnnyZGbPnk16ejp16tRhxIgRNhNNX375Zd577z0+/fRTUlNTCQgIsDw4u6BiqVixIosXL2bBggVs2bKFdevW4erqSoUKFWjcuDGPPvroddclIiIi4kiK0yqSVxo7diwLFizg5MmTVKhQgaFDh9K3b1/LyLGbYTAX5BqVIiXQuHHjWLNmDVFRUUUditzGDJOyr3rMPEqfwYmISMmxpPIym7InT3QrgkhunJubG+3ataNv3748/vjjODk5FVjdercXERERERGHUZwfB3Dq1CnKli17S+rW4iQiIiIiIiIF4FYlbaAeNxERERERcSDFeY7braQeN5F/MW7cOM1vExERESkkZoPtJkrcREREREREHJ4SNxGRYiBuIIAWARYRkZIvx2Cw2USJm4hIseDnnTcl2Tp5y35Rb2YiIiKOKC0tjVOnTpGdffVH+twIJW4iIsVE5ghoSCRgwhkz5lHOBfp8GBEREUdQ3Oe4bdq0iYceeghvb2+qVKnC/v37ARgyZAhff/11vutV4iYiUoz09TnILJ8FpI4o6khERERuDbPBYLMVFxs3buSxxx4jPT2dUaNGkZOTYzlWtmxZ5s+fn++6lbiJiIiIiIgUgDFjxtCmTRv27NnDW2+9ZXXs/vvvZ+/evfmuW89xExERERERh1GcetiutGfPHpYtWwaA4Yr7KFeuHGfPns133epxExERERERKQDOzs5kZWXZPXb27Fm8vb3zXbcSNxGRYsJshoFJvRmY1IeWXxZ1NCIiIrdGcV6cJDQ0lEWLFtk9tnz5ch566KF8162hkiIixcD5pGzKzYa8X9tbz5gxTMrGPEq/xkVEpGQxG4tRpnaFV199lVatWtGpUyd69+6NwWDgl19+Ye7cuSxfvpxNmzblu26D2WzWE11FRBycYZL9Z8AkDgIfLyVvIiJScsyu+Y1N2YDDHQs9jvxavHgxL7zwAvHx8ZYyX19fpk6dypNPPpnvevVuLyJSjJWeCeZRRR2FiIhIwSmui5OYTCaOHDlCu3bt6NKlC9u3b+fMmTOULVuWRo0a4enpeVP1K3ETERERERG5SWazmXvuuYeIiAgef/xxWrRoUaD1K3ETERERERGHUVznuDk7O1OxYkWrh24XJK0qKSIiIiIijsNgsN2KiR49erBw4cJbUrd63ERERERERApA3bp1+eqrr2jevDmdO3cmICDA5kHcnTt3zlfdStxERERERMRhFNehkgC9e/cG4NSpU2zevNnmuMFgwGQy5atuJW4iIiIiIiIF4Gae0/ZvlLiJiIiIiIjDKK6PAwBo0qTJLatbi5NIsRQREUFISAhRUVH/em54eDgDBgwolLZERERE5OaYDUabTdTjJiIiIiIiUiCaN29+zeMGg4EffvghX3UrcZMSb8WKFTar+YiIiIiIYyrOi5Pk5OTY/N15/vx5fv/9d8qXL89dd92V77qVuEmJ5+rqWtQhiFzdzsPQ4D82xWbAjJEMPImmGuVfe4Gzfl6FH5+IiIhcN3srSQL88ccfdOjQgbFjx+a7bg0YlWLNbDYzf/58OnTowEMPPUTnzp1Zs2aN1TlXm+P2zTff0K1bNx566CHatWvHrFmz+OWXXwgJCSEiIiJfbT3//POEh4dblX3//feEhITQpUsXq/I1a9YQEhJCZGQkkPsJzWeffUb//v1p1aoVDRs2pG3btrzzzjskJCRYrouLi6Nhw4a88cYbdl+TiRMnEhISwvHjx6/+woljyMq2m7QBGAAjZjxIpiqHafCHvp8iInJ7MBsMNltxd9dddzF69GhefvnlfNehHjcp1qZNm0ZmZiadO3fGxcWFFStWMG7cOIKCgqhbt+5Vr1u8eDEfffQRNWrUYPDgweTk5LBmzRp++umnm2orJCSEnTt3Eh0dTVBQEACRkZEYjUaOHz/O2bNnKV++PABRUVG4ublx3333AZCVlcXixYtp2bIlTZs2xd3dnV9//ZVVq1axd+9eFi9ejIuLC/7+/jRp0oRNmzaRlJSEj4+PJcbMzEzWrVvHgw8+SJUqVW7y1ZVbrkLfaxy89CblQhZjN6zgu9BamJz0eZuIiJRwxT9Ps6tq1aocPHgw39frLwAp1rKysli4cCHPPPMMvXr1YsaMGbi4uLB06dKrXpOUlMSMGTOoWrUq8+fPp3fv3vTp04f58+db9Wzlp63Q0FAAdu7caSmLiorisccew2g02pTfd999uLm5AblDOteuXcvrr7/Ok08+SZcuXRgzZgyvvvoqR44csep679SpExkZGaxdu9Yqxs2bN5OYmEiHDh2u6/UrDPHx8WRkZFj2k5OTuXjxomU/MzOTuLg4q2tiYmKuuR8bG4vZbC72bZgSUrhelS/GMeWTtZRPSMHZlINval4s126zpLxWakNtqA21oTYKtw0peCtWrKBSpUr5vt5gvvy7LlJMREREMH78eF5//XU6depkdeyJJ57A1dWVRYsWAblDJQMCApg9ezYAGzZs4D//+Q+jRo2iR48eVtfOnz+fadOmMXbsWMuQxxtpy2Qy0bx5cx5++GHeeecdzp49S5s2bZg4cSLz5s2jWrVqjB8/npMnT9KpUycGDx5Mv379bO7PZDKRmpqKyWQiJSWFDh068OSTT/Liiy8CucM2O3bsiKenJ59//rnluiFDhvDrr7+ybt063N3db+YllsLw4Sp4acFVDlp/3PiroS5dhz7H4crlbM40j9LgCRERKTmmhG6wKRse+VgRRHLjnn32WZuyjIwM9u/fz2+//cb777/PyJEj81W33u2lWAsMDLQpK126NLGxsVe95vTp00Bud/WV7JXdSFtOTk488MADREVFYTab2blzJ0ajkXr16nHgwAHWr18PYJnXVr9+fav6vv/+exYvXszvv/9Odna21bGkpCTL1waDgU6dOjFt2jQOHz5MzZo1iYmJITIyki5duihpKy5e7ACvLoHMbJtDZsyAARPOnKIqcxs0sZu0iYiIlDTFeVXJjRs32qwq6e7uTtWqVXnttdfo1atXvutW4ibFmtFof7TvtTqS89vJfL1thYSE8NNPP/HXX38RFRXF3XffjY+PD6GhoSxcuJDjx48TGRmJp6cntWrVslz3ww8/8Nprr3HvvfcyatQoKlSogKurKzk5OQwbNsymnfDwcGbOnMk333zDq6++yurVq8nJyXGoYZJyHTL+GWqbkgqepcBsBoMBQ1YWOVPXkByfCQ/dw+Rf7y7aOEVERORf/f3337esbs1xk9tOXs+Zvf9YBfGf7fJ5bpGRkZb9Bx54ABcXF3bu3MmuXbt44IEHcHa+9NnJ2rVrcXNzY9asWXTt2pXGjRvToEEDAgIC7Lbj7+9PWFgY69atIy0tjTVr1lCzZk1q1qx50/cgRcCzVO6/eZ/SubhgfKkTvm89QZW2deAqHxyIiIiUNMV5VcmFCxfazCfMEx8fz8KFC/Ndt/4SkNtOgwYNcHNzY9myZaSnp1vKU1JSWLFixU3Xf9ddd+Hr68uqVas4c+aMZTiku7s7tWvXZtmyZcTHx1sSujx5PXo5OTmWMrPZzGeffXbVtjp37kxycjJvv/02MTExdOzY8abjFxEREZH86du3L0eOHLF77NixY/Tte60Vpa9NQyXltlO6dGkGDhzIlClT6NOnD23btsVkMrFmzRrKlClDTEyMzdjkG2EwGHjwwQfZuHEjLi4uVo8lCAkJYc6cOQA2iVuLFi3YuHEjgwYNom3btmRnZ7Nlyxar5PJKDRo0IDAw0NJb17p163zHLSIiIuIIilMP25WuNSUnPT0dJyenfNetxE1uS71798bLy4slS5bwySef4O/vT8eOHbnzzjsZPXq0ZYn+/Kpfvz4bN26kTp06VguF1K9fnzlz5uDr60twcLDVNa1atSI1NZXPP/+cjz/+GG9vb8LCwhg6dCgtWrSw247BYKBjx45Mnz6dli1b4uXldVNxi4iIiBS14pa4nThxwmq6zZ49e2w+eE9LS2P27NlUrlw53+3ocQAil1m0aBEff/wx8+bNo06dOkUdznXJi3nOnDk88MADRR2O3CKGSbYrT+bR4wBERKQkmfzwRpuyl7Y3L4JIrs/48eMZP378NUds5aVcH3/8McOGDctXO3q3l9tSRkaGTa9acnIyS5cuxdfXt9gs8JGdnc3y5cupXr26kjYREREpEYpbj1v37t2pXbs2ZrOZ7t278/bbb9uMrHJzc6N27drXfPTUv1HiJrelXbt28fHHH9OiRQvKly/PmTNnWL16NWfOnOH111/HxcWlqEO8plOnTnHgwAG2bNnCqVOneOutt4o6JBEREZHbUq1atSyPeJo3bx7t2rXD39+/wNtR4ia3pTvuuIM77riDlStXkpCQgIuLC3fddRejRo2iWbNmRR3ev9q9ezfjx4/H19eX/v37a1ESERERKTGKW4/b5Z555plbVrfmuImIFAOa4yYiIreLiY232JSN/rFJEUSSP/Hx8Xz++eccOnSItLQ0q2MGg+Gaj3q6Fr3bi4iIiIiIFIATJ04QGhpKamoqqamplC1blvj4eEwmE2XKlKF06dL5rlsP4BYRKcbalyvqCERERAqW2Wiw2YqLV199lXvvvZczZ85gNptZu3YtKSkpTJ06FXd3d7799tt8163ETUSkGMhdA9V2ZPuqZzRwQkRExFH8/PPPDB482PIcX7PZjKurK0OGDKFfv36MHj0633UrcRMRKQbSLfPYzJZtVZsiDEhEROQWMRsMNltxcebMGQICAjAajTg5OZGUlGQ51qRJE3766ad8163ETUSkmMgcAbN85jHLZx6ZI6D9PeptExGRkqc4J24VKlQgPj4egKpVqxIVFWU59vfff+PsnP/3br3ri4iIiIiIFICGDRuyZ88e2rdvT+fOnZkwYQIZGRm4uroyceJEmjdvnu+6lbiJiIiIiIjDKE49bFcaNWoUf//9NwBjxozh0KFDjB07FrPZTFhYGB9//HG+61biJiIiIiIiUgDq1atHvXr1APD09GT16tUkJSVhMBjw9va+qbqVuImIiIiIiMMozj1u9vj4+BRIPVqcRESkmHD9GAYm9WVgUl9cP4aan2QXdUgiIiIFrjgvTgJw+PBhevbsSUBAAK6uruzevRuA8ePHs2nTpnzXq8RNRKQYeHdzXpJmsGy/pxZhQCIiImJj7969hIaGsmXLFpo2bYrJZLIcS05OZubMmfmuW4mbiEgx8FoU5CZs1gyT1OsmIiIlS3HucXv11Ve57777+Ouvv1i0aBFms9lyrH79+kRGRua7bs1xExERERERKQDbtm1j8eLFlCpVyqq3DXKf8RYbG5vvupW4iYiIiIiIwzAXnw42G2azGVdXV7vHLly4gJubW77r1lBJERERERFxGMV5qOR9993HypUr7R5bt26d5VEB+aEeNxERERERkQIwYsQIevXqhaenJ08//TQAJ06cYOPGjcydO5fly5fnu24lbiIiIiIi4jCKUw/blZ544gmOHDnCuHHjmDJlCgBdunTB2dmZ8ePHEx4enu+6lbiJiIiIiIgUkP/85z88/fTTbNiwgTNnzlC2bFlatWpFlSpVbqpeJW4iIiIiIuIwcopZj9vLL7/M8OHDCQoKspQFBgbSr1+/Am1Hi5PIbSkqKoqQkBAiIiLydX1ISAjjxo0r2KBEREREBDMGm82RffDBB5w+fdqybzKZcHFxYffu3QXajhI3ERERERGRfLr8IdvXKrtZGiopkg/btm3DycmpqMMQERERKXGK8+Ikt5ISN5F8uJmHJ96stLQ0PDw8iqx9uQUSk+H8RbgzANIyoFRPy6H0sl6cOl+aMv8Zz4UyPkUYpIiIiBQlJW4i/zCbzaxYsYJvvvmGY8eO4eTkRK1atejfvz8hISFW54aEhNCuXTureW4//fQTCxcu5OjRo6SmpuLj40OtWrUYOnQod955JwADBgwgJibGZm7d6dOnad++Pf3792fgwIFA7jy8QYMGMXbsWNLS0li2bBnR0dH06dPHcs6GDRv46quv+PPPPzGZTNSoUYOnn36ali1b3sJXSgpUqScgLcvuIRMupJ0vS2k8+PnjmbzcqS2r77+3kAMUEREpXMWxx+3333/H2Tk3tTKZTAAcPnzY7rkPPvhgvtpQ4ibyjzFjxrB+/XpatGhBeHg4WVlZrF27liFDhvD+++/TpEmTq167a9cuXnrpJWrUqEGfPn3w8vLi/Pnz7Nq1ixMnTlgSt/z44osvSExMpFOnTvj5+VGhQgUAPvnkE+bOncvDDz/MoEGDMBqNbN68mVdffZWXX36Z7t2757tNKSQ1h141aQO4SCAmcntX/VNSmPX5MvYFBXDc36+wIhQRESl0xTFx69Onj01Z3gO485jNZgwGgyWxu1FK3ESAjRs3snbtWl577TW6dOliKe/Rowd9+/blgw8+ICwsDMNVfpFs2bKFnJwcpk+fTpkyZSzlzz333E3HdubMGVasWIGvr6+l7NChQ8ydO5c+ffowdOhQq3hHjhzJ9OnTadu2LZ6enjfdvtxCf8Rc9VAOTmRjPSTWOcdMi8N/MrdRg1sdmYiIiFynefPmFUo7WlVSBFi7di0eHh40bdqUhIQEy5acnEzjxo05ffo0J06cuOr13t7eAPzf//0f2dnZBRpbmzZtrJI2gHXr1gHQtm1bq3gTEhIICwsjJSWFAwcOFGgc+RUfH09GRoZlPzk5mYsXL1r2MzMziYuLs7omJibmmvuxsbFWqzUV1zZyXK/+2ZmBHAzYfiIXXcb3ihLrHruS+lqpDbWhNtSG2ijcNoqS2WC7ObJnnnnmhrb8MphvxVqVIg7u8vlj4eHhdOvWjWPHjl3zmjlz5vDAAw8AtnPcEhMTGTp0KIcOHcLT05P777+fhx56iMceewx/f39LHfmZ4/bKK6/QrVs3q/OHDx/O9u3brxnv+PHjadu27XW9HlJEvtgKvT666uE0ypBCRcv+d/fczTN9esIVPb/mURo8ISIiJcd/wvfYlL0d8UARROJY9G4vQu6Y49KlS/P2229f9ZxrzVMrXbo0CxYsYO/evfzyyy/s2bOHjz76iJkzZ/LBBx9YFje52lDLa411dnd3v+qxjz/+2DIR9kbiFQfRMwwq+UHXiblz3Xo3hRnrLIfduQBkcp5qzGnUkP92eNQmaRMRESlpcvReZ5cSNxGgcuXKHD9+nHvvvRcvL6981WE0GnnwwQctKwUdO3aMp556itmzZ1sSNx8fH7srDJ06deqG492+fTsVKlSgRo0a+YpXHEST2nBuwaX9TwZYvjQAHsAdwH8nFewQXBEREUdVHBcnKQya4yZC7jwys9nMtGnT7D7p/spx4VdKSEiwKatcuTKenp4kJiZayqpUqUJKSgoHDx60lOXk5PD555/fULyPP/44ANOnT7c7py4+Pv6G6hMRERERx6YeNxGgZcuWhIeHs3z5cv744w8aN26Mr68vZ8+eZf/+/URHR7Nq1aqrXv/WW29x9uxZGjRoQEBAAJmZmfzwww/Ex8dbLQXbqVMnFi9ezOjRo+nRowcuLi788MMPN7ws7L333svAgQOZNWsWvXr14tFHH6VcuXKcP3+eQ4cOsW3bNnbs2JHv10NERESkqKjHzT4lbiL/GDt2LCEhIaxcuZL58+eTlZWFv78/NWvWZMiQIde8tk2bNkRERPDtt99y4cIFPD09qVq1Km+99RatW7e2nBcYGMikSZP45JNPmDlzJqVLl6ZNmza0b9+erl273lC8/fv3p1atWnz55Zd88cUXpKWl4efnx5133smoUaPy9RqIiIiIFDXNcbNPq0qKiBQDhmvMcdOqkiIiUpKM6mT7SKNJK+sUQSSORe/2IiIiIiLiMBz9uW1FRYuTiIiIiIiIODj1uImIiIiIiMMwoy43e5S4iYiIiIiIw9DiJPZpqKSIiIiIiIiDU4+biIiIiIg4DD3HzT71uImIFGM97izqCERERKQwKHETESkGcp/VZv5nw/LvF500cEJEREoWs8Fgs4kSNxGRYiNzBPhyHjDRupIevC0iIiVTjsF2E81xExEpVt7ziQCgb7e+RRyJiIiIFCYlbiIiIiIi4jA0NNI+DZUUERERERFxcOpxExERERERh5GDetzsUeImIlKMDEx6EnBhzmKI1DQ3EREpgTRU0j4NlRQRKSZcPwZwA4xExYFhUnYRRyQiIiKFRYmbiEgxkJukXf4JZO7XS/YoeRMRkZJFjwOwT4mbiEgx9tQPRR2BiIiIFAbNcRMREREREYeRozludilxExERERERh6HFSezTUEkREREREREHpx43ERERERFxGFqMxD71uImIiIiIiDg49biJiIiIiIjDMKMuN3uUuImIiIiIiMPQqpL2aaikiIiIiIiIg1OPm4iIiIiIOAz1uNmnHjcREREREREHpx43EZGisOkArN8L1SvAU03AzRl8noLUDMsp5n/+TTJ6MbdKKz5o24xfK5cDfRIpIiIlmB4HYJ8SN5FbbNOmTYwePZrXX3+dTp062Rzv2bMnSUlJREREYDQaOXHiBHPmzGHnzp0kJiZSrlw5WrZsyYABA/Dw8LBcFxsby+zZs9m5cydxcXGUKlWKwMBAOnXqZLcdcSDvr4RXFl3an/M9RB2xOc1AbvJ2xONuLriX4dcq5QstRBERkaKSo1Ul7VLiJnKLNW7cmLJly7Jq1SqbhOq3337jzz//pH///hiNRg4dOsSgQYPw9vamc+fOlC9fnj///JMvv/ySffv2MXv2bJydncnOzmbIkCGcO3eOLl26UKVKFVJSUjhy5Ai7d+9W4ubIMrLgfyusy+wkbXkMQI30P5hdqeWtjUtEREQcmua4idxizs7OhIeHc/DgQf766y+rY6tWrcJoNNK+fXsAJkyYgL+/P1999RUDBw6kU6dOvPzyy7z99tvs37+ftWvXAnDs2DGOHz/Oc889x4gRI+jYsSNPPvkkY8aM4b///W+h3+O1xMfHk5FxafhfcnIyFy9etOxnZmYSFxdndU1MTMw192NjYzGbzZb9YtVGagYkpXIj3HIyqH7mwlWOpl+zzWL9WqkNtaE21IbaKLI2ipLZYLDZBAzmy7/rInJLnD59mo4dO/LEE08wcuRIANLT02ndujW1a9dm2rRp/PXXX/To0YP+/fvzxBNPWF1vNptp3749YWFh/O9//yMmJobw8HAefvhhxo4di7+/f1HcluRX0zdhy6+X9p2dINt01dOPuVVn0T2tGdurqd3j5lEaPCEiIiXHE32O25R9Nb9KEUTiWPRuL1IIKlWqRIMGDfjuu+8YPnw4Li4u/PDDDyQnJ9OxY0cgtxcNYM6cOcyZM8duPfHx8QAEBATQv39/PvvsMx5//HGCg4OpX78+zZs3p06dOoVyT3ITPn8RBs2EdXvhzgrwfu/cxUo+XGN1Wt6nalk4c6qsV6GHKSIiUhS0OIl9StxECkmnTp34+eef2bx5M48++iirVq3C19eXJk2aAFiGPPTs2ZNHHnnEbh0+Pj6WrwcOHEi7du3Ytm0be/bsYfXq1SxatIgnnniC0aNH3/obkvyr5Aer/2NdFh4Kk5+Fi6ng4QpOThhSU+G1hXh99SezWzxQNLGKiIgUMj3HzT4lbiKFJCwsDH9/f1atWkXNmjXZs2cPvXr1wsXFBYDKlSsDYDQaadCgwXXVGRgYSPfu3enevTuZmZmMHDmSr776il69ehEYGHjL7kVuIe9Sl7729IQpg6k0BZiUXWQhiYiISNHT4iQihcTZ2Zn27duzc+dOZs2ahdlstgyTBLj77rupUaMGK1eu5OTJkzbXZ2dnk5iYCOROOs7Otv5D3tXVlerVqwOQlJR0625ERERE5BbKwWCziXrcRApVx44dmT9/PuvWreO+++6jWrVqlmMGg4Hx48czePBgevXqRfv27alevTrp6elER0ezceNGhg4dSnh4OFFRUfzvf/+jefPmVK5cGU9PT37//Xe+/vprgoODueuuu4rwLkVERESkoClxEylEgYGBNGjQgB07dlj1tuW5++67WbJkCfPmzWPr1q2sWLECT09PAgICCA8PJzQ0FIDg4GCaNWvG7t27WbduHSaTiQoVKvD000/z9NNP4+TkVMh3JiIiIlIwTOpgs0uJm0ghc3Z2xtPTk0cffdTu8YCAAP7zn//YPZYnMDDwX88RERERKY60OIl9muMmUohOnjzJ9u3badOmDR4eHkUdjoiIiIgUE+pxEykEBw8e5NixY3z55Ze4uLjw1FNPFXVIIiIiIg5Jz3GzT4mbSCFYvnw53377LYGBgfz3v//VUv0iIiIickMM5ryn/oqIiMMyXOM5buZR+gxORERKjtb9T9mUrZujD731bi8iIiIiIg7DpMVJ7NLiJCIixZje2kRERG4PStxERIqBx8oB2I5sz9EwSRERKWFyDLabKHETESkW1j/j/M8vbLNlm/RwkYYkIiJyS5gw2GyiOW4iIsVG+giYN28eAH379sXFRb/CRUREbhd61xcREREREYdhUgebXRoqKSIiIiIi4uDU4yYiIiIiIg4jR48DsEuJm4iIiIiIOAw9x80+JW4iIsWE68cAfQEY+DE87J/Ntr76NS4iInI70Du+iEgxEDo7+5+vLn0KuT2uaGIRERG5lbL//ZTbkhYnEREpBqKSADvPsTFM0tubiIjI7UA9biIiIiIi4jA0x80+JW4iIiIiIuIwspW32aWhkiIiIiIiIg5OPW4iIiIiIuIwsu3M6Rb1uImIiIiIiDg89biJiIiIiIjDyFKHm11K3ERERERExGFkaVVJuzRUUkRERERExMGpx01ERERERBxGVlEH4KDU4yYiIiIiIuLg1OMmInKrmc2QmAIp6ZCUCk5GiE+G2Avg703mqXiyz2eQEpdN/KEkMt28yKldnswyHgQ8EoR3WQ/AqajvQkREpFCkao6bXUrcRERupS9+hN4fQ3aO3cM5GMmiAin4Ak54YeRg6Ts49WM6JmcjuyYd5Xj1QGhaB4waJCEiIiVfmvI2u/RXgMgNOnv2LCEhIcyaNcuqfPjw4YSEhDB//nyr8kGDBtG2bVu+++47QkJCiIqKshwzmUw0adKEkJAQDhw4YCnPzMykUaNGjBkzBoD//ve/PPzww2RkZFjOOXjwICEhIYSFhZGdnW0p3717NyEhIaxataogb1vy4/hZ6PXhVZO2XAZS/0naALKdnThZzheTc+6vZ6ccE4EnYm55qCIiIuLYlLiJ3KDy5ctTuXJlIiMjLWXZ2dns3bsXo9HIzp07LeUZGRkcOHCA0NBQ6tevD2B13W+//UZKSorNdfv37ycjI4PQ0FAAQkNDyczMZN++fZZzoqKiMBqNpKamcvDgQUt5Xv1510oRWrfnX08xY8B82TDIM6V8MBusfzW7ZWbhbDIVeHgiIiKOKBODzSZK3ETyJSQkhIMHD5KWlgbAr7/+SmpqKq1bt2bfvn1kZmYC1glY2bJlqVKlilXiFhkZiaenJ4888ohVeV6vXF7yFRISYjn/8msbNmxI6dKlba4NDAykUqVKt+jub0x8fLxVT2FycjIXL1607GdmZhIXF2d1TUxMzDX3Y2NjMZvNDt9GvPe/z0szkANcasc923YtLTOQbbYp/keG1V5xfa3UhtpQG2pDbThWG+J4DObLv+sicl2+//57XnvtNT7++GMaNWrEp59+ypIlS5g9ezY9e/Zk5syZhISE8MknnzB37ly+++47ypcvz7vvvsvKlSvZuHEjnp6ePP/887i7u9OwYUM++ugjNm3ahJubG/369SM+Pp6VK1da2uzWrRulSpViwYIFZGVl0axZMwYPHsz+/fu5cOECs2fPJj09nWbNmtG2bVveeOONInyFBICcHKj/Muw6etVTTLhwkTvIpBSQm6RtCbqbRI9SlnPOlfPj9Q4PXXWOm3mUpiuLiEjJYXgx3qbM/KFfEUTiWNTjJpIPoaGhGAwGS89YVFQU9erVIzg4GH9/f0sPWFRUFFWqVKF8+fJAbs+ZyWRiz549lqGPoaGhVkMh09LS+PXXX22GOoaEhHD48GGSk5M5cOAA6enplmvz9vfu3UtWVpaGSToKoxF2vAdT+8Ed/uBq2wNnIItSnMWNBLIwkEQpgk4nUCYuFZf0bM77+ZJWwacIghcRESkiBoPtJlpVUiQ/fH19ufPOO9m5c6dlHtvw4cMBqFevHpGRkTzzzDP8+uuvdOrUyXJdSEgIBoOBnTt34u7ubhlGWa1aNcqWLUtkZCTZ2dlkZ2fbJF+hoaEsW7aMXbt2cfjwYXx9fQkODsbV1ZWsrCz27t1rSRjzhlaKA3B2gqFtczc7jIDrP1vpf8qC7Zz31qRsO6UiIiJyu1CPm0g+hYaG8scff7B161YyMjIsi4/Ur1+fX3/9lR9//BGTyWSVROUlW5GRkURGRuLv70+NGjUs9e3cuZPIyEgMBoNN8hUSEoLRaLRcm9frV7VqVcqXL2+5tnr16vj7+xfeCyEiIiIit5wSN5F8CgkJwWw2M2fOHMqWLUu1atUs5SaTic8+++yqCdhff/3FDz/8YHUsbyjkli1bqFGjBmXKlLG6zsfHh+DgYLZt22YzlDIkJIQtW7bw+++/WxJIERERESk5lLiJ5FO9evVwcnLi6NGjVklUUFAQlSpV4ujRowQHB+Pr62t1XWhoKGazmb///tvquvr162MymThx4sRVhzqGhoZy8uRJsrKyrBK00NBQjh8/btPDJyIiIlLsaI6bXUrcRPLJy8uLmjVrArbPTMtLnuwtEvLggw/i5ORkczwgIIDAwMCrXnd5ecWKFQkKCrIpd3Jyol69evm6HxERERGHYLCziR4HICJSHBiusTiJHgcgIiIliWFUgk2ZeZJvocfhaPRuLyIiIiIiDkRdbPZoqKSIiIiIiIiDU4+biIiIiIg4DnW42aXETUREREREHIcSN7s0VFJERERERMTBqcdNRKQYm/VIUUcgIiJS0NTlZo963EREioHcJf8vf3pL7tcDGurzNxERkduBEjcRkWIicwQYSQJMtAvS89tERKSE0gO47dK7vohIMTLDZzkAfbv0LeJIREREbhVlavaox01ERERERMTBqcdNREREREQchzrc7FLiJiIiIiIijkOJm10aKikiUsxkmp2Yux+Mk7Jxn5RNYlp2UYckIiIit5gSNxGRYmRHRnWGXXyaQZsMmIEMwHc6vPZ/St5ERKSk0LKS9ihxExEpJrJMMC+jCfZ+db+7t9DDERERkUKkOW4iIsXEsj/gqp86ms32y0VERIobdbDZpcRNRKSY8HMv6ghEREQKgUGZmz0aKikiUkyEVgRQz5qIiMjtSImbiEgxMTESNH5ERETk9qTETUSkmPjtQlFHICIiIkVFiZuISDHRJPAaBzUfQERESgo9DcAuLU4iIlJM1K9Y1BGIiIgUBmVq9qjHTUSkmPgjoagjEBERkaKixM2OjIwMPvzwQ8LDw6lfvz5NmzYt6pAcwrhx4wgJCSnqMKysXLmSrl278tBDDxESEsLvv/9e1CGJ3DIr/ijqCERERAqBhkradcNDJePj41m0aBHbtm0jNjYWg8GAn58fNWvW5NFHH6V58+a3Is5CtXDhQpYsWcJTTz1FcHAwrq6u1zx/6tSp7Nmzh5MnT5KcnIyfnx/BwcE8/fTT1KtXz+b8CxcuMH/+fH788UfOnDmDl5cXd955J7169eKRRx6xOtdsNrNixQq+/vprjh8/jouLC3Xq1GHAgAHUqVOnQO8bICoqil27dtGrVy+8vb0LvP6CtHv3bv73v//RpEkTevfujbOzMwEBAbesvYsXL/L5559Tr149h0tgpeT47Vw2/dfD4bOAMzx1D3zcMvdXdcOK8H8nizY+ERERKRo3lLjFxsbyzDPPkJKSwuOPP07Xrl0BOHnyJNu2bSMtLa1EJG4///wzwcHBvPDCC9d1/oEDB6hRowbNmzfH29ubuLg41q5dy8CBAxk3bhzt2rWznJuWlkbfvn05d+4cHTt2JDg4mISEBFatWsULL7zAm2++SYcOHSznv/vuu6xYsYJ69eoxbNgw0tPTWblyJQMGDGDq1KkFnkDs2rWLOXPmEB4e7vCJ288//wzA2LFj8fHxueXtXbx4kTlz5gAocZObdjzRxBOrzfxy5honZcKUvTBlb3ZhhSUiIlL01MNm1w0lbosWLSIuLo7JkycTFhZmdWzkyJGcOXOtv0CKj7i4OCpUqHDd58+ePdumrEePHnTs2JG5c+daJW5btmwhOjqakSNH0rNnT0t5hw4dePzxx1m5cqUlcfvjjz9YsWIFDz/8MB9//DGGf1aN69KlC127duXtt99m+fLlGI0lc8RrWloaHh4eVz1+/vx5gEJJ2gpDamoqpUqVKuow5AbEpZmZssvEjL0Qlw45t7zFa7yTmc0YJmZdWl3SfI0HdRsuq8tsxpCTQ+nUdGrGnOO3wAqkuLlgNhowG52A3DH1vimpdN99gBoVnFlePZjfDR4kOxnJwgkD4GQAowGCvGHAfXBy7wWiz2QRUNaZls38+DPJwM+nzZxNBX8PGFLXQHVfI58fysHd2UD76mbei4SD581U9YEaZQw0DjLQ7s7c329bT5r57lgOVX0M9Jn9Ka4z1gFwtlJFPI9NJyYZPj+Uw4VUM3N/g5QsuMMLjg0w3tTvyPXHcth4wkyQN6RlQUKmmTLuRs6lmgmtaKBzsAEn47X/wjhwzszS33Mo7Wag9z0GynsWv79I4tLMLPzVzPk0M13vMvJAheJ3DyJSnOh3jD03lLidOHECuHpvw5XJTkhICO3atWPcuHFW5REREYwfP56ZM2da6po1axZz5sxh6dKlrFy5kg0bNpCSkkKdOnV45ZVXqFq1Khs3buSzzz7j77//pkyZMvTp08fS6/dv0tPTmTt3Lt9//z2xsbF4enoSGhrKoEGDqFKlilVcAKdOnbLE1r9/fwYOHHh9L9I/SpUqha+vL/Hx8VblycnJAJQrV86q3MfHBzc3N9zd3S1lUVFRALRt29aStAF4e3sTFhbGypUr2bdvHw888MC/xrN3714+++wzDhw4QFZWFpUrV6ZDhw488cQTlroHDBjA7t27AWjfvr3l2rFjxxIeHm7ZT0pKYsqUKWzZsoWUlBRq1qzJSy+9RO3ata3azBvm+c0333Ds2DGcnJyoVasW/fv3t/oZOn36NO3bt6d///5Uq1aNhQsXcuzYMR599FGbn53Lz8+TV9eDDz5oSaKTk5OZO3cuGzdu5MyZM3h6elK/fn2ef/55goKCLNempKSwYMECfvnlF6Kjo0lNTaVChQq0aNGC/v37W74fl/9szJkzx9LzltemvZ/pPAMGDCAmJoaIiAhLWXh4OAEBAbz00ktMmzaNAwcOULp0aVavXg3k/l+bM2cOO3fuJDExkXLlytGyZUsGDBhglczGxsYye/Zsdu7cSVxcHKVKlSIwMJBOnTrRqVMnOz8JUlDOpph5cJGJU8lFHck/rnwcwPU+HsBgwOzkRIK3Jzu8Pe2eYjKbGb9yPZ4ZmfR9pLtN3WYgx5z7xZFEeOVHgDJQCkiFGd/mnXXJmqNmnAwmTObcY6/9eOnY7rO5Ze9HmnmhnpkqPgZe3JSbFk//ajpuUZstb+kVT8eS5N2LOu8sIvOKzPlEMjhPziFnVP4Stzd/MvHWDnsJcF5DZnrVMrCkrdNV6/juaA4dvskhOyf3/A+iIOopJwK9i88fJedSzYQsMnHiYu7+uztNfNnOSLe7S+aHhiIijuqGErfAwNyHCK1cuZJevXpZJRMFZezYsXh5edG3b18SExNZvHgxQ4cOZfDgwUydOpUuXbrg4+PDqlWrePfdd6levToPPvjgNevMzs5m+PDh7N69m2bNmtGzZ09iYmJYtmwZP//8M/PmzaNatWo88MADTJgwgcmTJ+Pr68uzzz4LQHBw8HXFnpCQQE5ODvHx8axatYqjR49a9bZBbpLh5OTE9OnT8fDwoEaNGiQmJrJw4UKys7Pp27ev5dzMzEwAq2QuT17ZwYMH/zVx++mnnxg5ciS+vr707NkTHx8fNm7cyKRJkzhy5Aivv/46AM8++yylS5dm06ZNvPTSS/j6+gJw3333WdU3bNgw/Pz86N+/PwkJCSxZsoQRI0awevVqPD0v/eE3ZswY1q9fT4sWLQgPDycrK4u1a9cyZMgQ3n//fZo0aWJV75YtW1i6dCldunShS5cuVnVdrkyZMkyYMIGVK1eyZ88eJkyYAICfnx+Qm7Q9++yzxMbG0r59e6pXr8758+dZsWIFffr0YdGiRZa5cOfOnWPVqlW0bNmSxx9/HKPRyO7du1m4cCG///4706ZNA+CBBx7gpZdeYvLkyTRr1oxmzZpZtZkfZ86c4fnnn6dFixY0b96c1NRUAA4dOsSgQYPw9vamc+fOlC9fnj///JMvv/ySffv2MXv2bJydncnOzmbIkCGcO3eOLl26UKVKFVJSUjhy5Ai7d+9W4naLzd5vdpyk7VYzGPiyQV1ifbwK9Hlxpmt0CuaZtseMp8ulEwddlrTl8c7MsEna8piBz3/Npte9NzalOynDzKSofw/w80Nm3mxopqa//ddl/Pa8pC1XbArM2JfDW49cPdlzNJ8eMFuSNshN0sdvz1HiJiK3TvH5bKtQ3dA72VNPPcXatWv58MMP+fzzz3nggQe45557eOCBB6hVq1aBBFS+fHkmTZpkSQp9fX2ZOHEi77//PkuXLrX06j322GO0bduWZcuW/WvitmbNGnbv3k3Pnj0ZOXKkpbxJkyY899xzTJo0ienTpxMUFERQUBAzZszAz8+PNm3aXHfcqamptGzZ0rLv6upKhw4drNoDqFq1Kv/973+ZPHkyI0aMsLrvWbNmWfVaVatWDcjtebs8yTGbzZaesdjY2GvGZTKZeO+993B3d2fhwoWW16979+68+OKLrFy5knbt2nH//ffTsGFD9u3bx6ZNm2jatCmVKlWyW2etWrV49dVXLfvVq1fn1VdfZd26dXTp0gWAjRs3snbtWl577TVLGeQOIe3bty8ffPABYWFhVsn/0aNH+fLLL6lateo178nDw4M2bdqwc+dO9uzZY/N9mjFjBqdOnWLevHncddddlvLw8HB69OjBrFmzLD15gYGBfPvttzg7X/qv0L17d2bMmMFnn33GwYMHqV27NkFBQTRt2pTJkydTo0aNG/rZuJpTp04xZswYq95DgAkTJuDv78+iRYusktfQ0FBGjx7N2rVrCQ8P59ixYxw/fpzhw4fTu3fvm47nVomPj8fT0xM3NzcgN7E2m82WOZSZmZlcvHgRf39/yzUxMTFWC81cuR8bG0uFChUsPz9F0cbJhExup0dhxnmWIqHU1Ycu3yrZOZCYcWk/P+/lP52GXvfe2Pc8IQPSr3NqYWzKpcTtyjpPJZkA6yTt9GUJf3H4/xGbYpvAnr6Yg9lsLtL/g2pDbaiNW9uGOJ4b+rgsKCiIL774gm7dumE2m1m3bh2TJ0/m6aefpkePHhw6dOimA+revbvVH/P3338/AGFhYVZDMcuUKUOVKlWIjo7+1zo3bdqEwWCgX79+VuV169YlNDSUyMhIyxDG/HJzc2P69OlMmTKF1157jdq1a5OZmUlGRobNuX5+ftSqVYsBAwYwadIkXn31Vdzd3RkxYoTVa9ioUSOqVq3KsmXLWLBgASdPnuTPP/9k/PjxHDlyBMgdAnothw8fJiYmhnbt2lm9fk5OTpbevU2bNt3Qvfbq1ctqP29o4MmTl5a7W7t2LR4eHjRt2pSEhATLlpycTOPGjTl9+rRl6G2eRx555F+Ttn+T93N5//33U758eau2PTw8qF27Njt27LCc7+LiYknasrOzSUpKIiEhgfr16wO5PZq3SunSpW16ZP/66y/+/PNPWrVqRVZWllX8devWxcPDwxK/l5cXkJvYx8XF3bI4b5afn5/ljQRy47584RtXV1erNxLA5o3jyv2KFSta/Z4oija633Pt1WZLmvB9h2i37+Z/x9+omn7QsvKl/URXt6uffBXTW+YmTjfyPa/sY6DedUx1rugJDwde+jm5ss5utWyT+y7BRfuze6NtdKphmy53udupyP8Pqg21oTZubRvieG744+JKlSrxyiuv8Morr3D+/Hn279/PmjVr2Lp1Ky+88AJLly6ldOnS+Q4obzhmnryFJ+z1/nh7e/9rjxPk9mz4+flZhv5drkaNGkRGRhITE3PdQyLtcXJyokGDBpb9jh07MnDgQAYNGsSSJUssycH27dt58cUX+eijj3jooYcs57ds2ZJu3brx1ltvsWTJEgCcnZ2ZOnUqY8eOZerUqUydOhXI7eEaOnQoH3300VWHE15+73nX2Lv3y8+5Xld+j/Je18TEREvZ33//TVpaGq1atbpqPfHx8Zb5hQB33HHHDcVhz4ULF0hMTGTnzp1WPaCXu3KhgmXLlrFixQqOHj1KTo71eKuLFy9yqwQGBtrEcuzYMcB6Ht2V8uZNBgQE0L9/fz777DMef/xxgoODqV+/Ps2bN78lj4oQay2qGJnREkZtyiHFVNTR5IPZnDvs8bJFTJxMOZicrvg8758/DE6V9ub5zTs45evDD/cEk3P5kMkrhk/6OOeQmpnbhtlg4F6fHM6anTmb+s9cOKBBRbinLCz/A9yd4MEKsOUkpJvA2ZA7xLHJHQZmtDTi4waDv8/h26NmGnyyiEPPdbfqefu/d4fzQj0Dcw+YSc60XiRmWF3yPax/eXsnBn2fww8nzJQvBZkmuJgJpV0hPgNCK8K0Fk64Ol29/rcfMZKalcOSQ2ZKu8Er9Y20vbN4DTFsWtnIrEfhrR05nE+D7ncbmNyseN2DiBQzGipp102N8ylbtizNmzenefPmvP7666xfv55t27b96zAyk+nqf+VcbfWvq5Wbr7Vy2nWccz3X54eTkxOtW7fm3XffZffu3ZYenIULF+Lu7m6VtEFu8hMaGsqGDRtITk629KYEBAQwe/ZsYmNjOX36NKVLl+bOO+9k2bJlAP/aQ3Ur7s/Jyf7cjMvbMpvNlC5dmrfffvuq9dx5551W+/bm8t2ovBhCQkKs5gtezeLFi/noo49o2LAhPXr0oGzZsri4uHDu3DnGjRtnk8hdzbX+MLzaz7u9+82Lv2fPnjbP9Mtz+SqaAwcOpF27dmzbto09e/awevVqFi1axBNPPMHo0aOvK3bJv0F1jQyqm/u7yZRjxsloICXTRJYJSrkaMRrgr3gTK/+AnbFQxg1+jYPfzkKBT48zm6nqbSAud6okj1fLXeTDaM4hITkbJ2dnMs1mEkwGqpU28nUHA2dToLyXgQBPI86GHAwmI7FxWVT0NlLaL/fnMzvHjLPRgNlcHzP12XDFz3re8Su/vl5zW1/feSs7XvZ7p9/XkJEJyeng78OjwKPAh83sx5VfVUsbWNf15uaiebgYmPWYE7Meu6lqityA+40MuF/JmohIUSqwCRp16tRh/fr1nD171lJWunRpq16YPDfaw3OzgoKC2L59OwkJCTa9bkePHsVoNN6S7uG8YZJJSUmWsrNnz2IymazmBuTJzs62+vdyFStWpGLFipb9bdu2YTQabRLAK+WtoHj06FGbY3nDLS9fZbGgFpypXLkyx48f595777UkoYWhTJkyeHt7k5ycbNUDejXfffcdlSpVYsqUKVYfDmzfvt3m3Gu9NnnJ1OXf6zynT5+2mkN3LZUr544JMxqN1xU/5Pbcde/ene7du5OZmcnIkSP56quv6NWrl03vqNw6eUvCe7pa/6Ffs6wzr5W99rWZ2TlM2Z3Duz9DXJbtcWfgDk84nWIm42ofQxoMHBt0tZ+z6xnWmfvzX9rLxbrtf+7LYDDYbfny5OhmE6Ub4uaau11FocYiIiIF6xYsgFgS3NDHZ1FRUXbnVOXk5PDjj7lrOV8+JK9y5cocOHDA6pqkpCTLkueFpVmzZpjNZubPn29Vvn//fiIjI6lfv36+k4ukpCSysmz/0kpLS2PVqlUYjUbuvfdeS3n16tVJT0/n+++/tzr/zJkz/PLLLwQGBtod0nm5LVu28NNPP9GmTZt/TThr1qxJQEAAa9assUqqc3JymDdvHgBNmza1lOc9R8xeAnIj2rRpg9lsZtq0aXZ7/W7VnCyj0Ujr1q05fPgw69evt3vO5Y9ocHLKnadxeYzZ2dk2PyuAZRl+e8Mn8xKunTt3WpWvW7eOc+fOXXf8d999NzVq1GDlypVWcwYvjy3vw5Dk5GSbJN/V1dXyf/Bmv4dSeFydjYyq78z5Ec6YR9luWaOcOTrYmScKZg0oERERKYZuqMdt8eLF7Nu3j0ceeYRatWrh5eVFXFwcGzdu5NChQ4SEhFgN7+revTtvvvkmgwYNok2bNly8eJFvvvmGgICAQl1MoV27dnz33XcsXryY06dPExoaankcgKenp83Kjzdi9+7dvP322zRv3pygoCA8PT05ffo03333HWfOnKF///5WyVXfvn35+eefGTNmDLt37+auu+7i3LlzfP3116SmpvLmm29a1T9hwgTMZjN33303bm5u7N27l3Xr1nHPPfcwatSof43PycmJV155hZEjR9K7d286d+5seRxA3pLxeQvAAJZVLadPn06rVq1wcXGhdu3aN9xz07JlS8LDw1m+fDl//PEHjRs3xtfXl7Nnz7J//36io6NZtWrVDdV5vYYMGcK+fft444032Lx5M3Xq1MHFxYWYmBi2bdtGrVq1LKtKtmjRgmnTpjF8+HCaNWtGSkoK69evt9tD5uvrS1BQEBs2bCAoKIgyZcrg5+dHaGgoVatWpX79+nz99deYzWbuuusu/vjjDzZv3swdd9xhtxfVHoPBwPjx4xk8eDC9evWyPM4gPT2d6OhoNm7cyNChQwkPDycqKor//e9/NG/enMqVK+Pp6cnvv//O119/TXBwsNWKmlIyhFSAhYW/PoiIiIg4gBtK3Pr168f//d//sWfPHn755RcSExPx8PCgWrVqvPDCC3Tv3t1quNnjjz/OuXPnWLp0KR9++CGBgYE899xzGI3GW7pa35WcnZ2ZMmUKn332Gd9//z1bt27F09OTRx55hIEDB97USoY1atTgkUceISoqirVr15Keno6vry/33HMPr732ms08pXvvvZclS5bw2WefsWPHDlavXo2bmxv33HMPvXv3thked++99/L111+zceNGsrOzCQoKYuDAgfTq1eu654Q98sgjzJo1i08//ZQlS5aQlZXFHXfcwahRo3jiiSeszq1bty7PP/88X3/9Nf/9738xmUyMHTs2X0Puxo4dS0hICCtXrmT+/PlkZWXh7+9PzZo1GTJkyA3Xd728vLyYO3cuixcvtny/nZycKF++PHXr1qVjx46Wc59++mnMZjOrVq3igw8+wN/fn0cffZT27dvTrVs3m7rznvM3depUMjIyePDBBwkNDbUcmzhxIuvWreO7777jgQceYObMmbzzzjvExMRcd/x33303S5YsYd68eWzdupUVK1bg6elJQEAA4eHhlvaCg4Np1qwZu3fvZt26dZhMJipUqMDTTz/N008/fdW5iFJ8/ZlQ1BGIiIgUAo2UtMtgvlWrc4iISIF6fkMWM/Zf/d3MPOr2ea6ciIiUXIYJtlOzzGNufhG74k7v8iIixURAqaKOQEREpDCoy80ere0rIlJM/Bb/7+eIiIhIyaQeNxGRYmLP2X8/R0REpNhTh5td6nETESkmKvv8+zkiIiJSMilxExEpJsL0PHUREZHblhI3EZFiolMwgBYCFhGREs5gZxMlbiIixcVdZaC208miDkNERESKgBI3EZFiZGCpTbRz3cPlPW9G9Aw3ERGRkk7v9CIixYirwUS4+x6+HlwXFxf9ChcRkRLIoLGR9qjHTURERERExMHp41oREREREXEc6nCzSz1uIiIiIiIiDk6Jm4iIiIiIiIPTUEkREREREXEcGippl3rcREREREREHJx63ERERERExIGoy80eJW4iIiIiIuI4lLfZpaGSIiIiIiIiDk6Jm4iIiIiIiINT4iYiIiIiIuLgNMdNREREREQch+a42aUeNxEREREREQenxE1ERERERMTBaaikiIiIiIg4Dg2VtEs9biIiIiIiIg5OiZuIiIiIiBRL48aNw8vLq6jDKBQaKikiIiIiIo7DoLGS9qjHTURERERExMEpcRMREREREcdhsLPl08GDB2ndujVeXl74+PjQoUMH/vrrL8vxfv36ERYWZtm/cOECRqORBx980FKWlpaGm5sbixcvzn8gBUBDJUXkljGbzVy8eLGowygxsrKySEtLAyApKQkXF5cijkhEREoyb29vDMV42OLJkydp3LgxVatWZcGCBZhMJsaOHUvjxo3Zv38/5cqVIywsjCVLlpCeno67uzs//vgjbm5u7Nu3j4SEBHx9ffn555/JzMy0SvCKghI3EbllLl68SOnSpYs6jBLphRdeKOoQRESkhEtMTMTHx6fQ2zWPKpgU5cMPPyQzM5MNGzZQrlw5ABo0aEBwcDDTp09n3LhxhIWFkZGRwY4dO2jatClbt26lffv2bN68mZ9++ol27dqxdetWqlSpQuXKlQskrvxS4iYit4y3tzeJiYk25cnJybRt25Zvv/32tlkJqqDotcsfvW75p9cuf/S65Z9eu/y5Fa+bt7d3gdRTVH788UeaN29uSdoAqlSpwsMPP8yPP/4IQLVq1bjjjjvYsmWLJXHr06cPOTk5bNmyxZK4FXVvGyhxE5FbyGAw2P2kzmg04uTkhI+Pj96Ub5Beu/zR65Z/eu3yR69b/um1yx+9brYuXLhA3bp1bcorVqzI77//btkPCwtj69atJCcns2fPHubOnYvJZGLx4sVkZWWxY8cOpk6dWoiR26fFSUREREREpMTx8/PjzJkzNuWxsbH4+flZ9sPCwvj555/ZvHkzpUuX5t577yUsLIzdu3ezadMm0tLSHKLHTYmbiIiIiIiUOI888gg//PADcXFxlrKTJ0+yfft2GjdubCkLCwsjLS2NSZMm0bhxYwwGA/fddx/e3t68/fbbVKxYkeDg4KK4BSsaKikihc7V1ZX+/fvj6upa1KEUO3rt8kevW/7ptcsfvW75p9cuf27n181kMrF8+XKb8hEjRjBv3jwee+wxXn/9dcuqkn5+fgwZMsRyXs2aNSlfvjxbtmxh8uTJQO50j0ceeYSIiAi6d+9eaPdyLQaz2Wwu6iBERERERERu1Lhx4xg/frzdY/PmzaNevXqMGjWKn376CaPRSLNmzfjggw9setC6devG8uXLiYqKol69egB88MEHjBo1imnTplklekVFiZuIiIiIiIiD0xw3ERERERERB6fETURERERExMFpcRIRKRQ//fQTn3zyCX///Tfly5fnySefpFu3bte85vjx43z11VdERkYSExODr68v9evX5/nnn6ds2bKFFHnhOX78OJMmTWLPnj14eHjQqlUrhg4diru7+79eu2bNGubNm0dMTAxBQUEMGDCAli1bFkLURS8/r1tycjJLlixh+/btHD9+HGdnZ2rVqsWQIUOoWbNmIUZftG7mZy7Ppk2bGD16NNWrV2fp0qW3MFrHcTOvW2JiIjNmzGDTpk1cvHiRihUr8uSTT9KlS5dCiLzo5fe1S0tL49NPP+X//u//OH/+POXLl6d169b07dv3tliM4+TJkyxatIiDBw9y5MgRqlSpct3/327n94eSRombiNxy+/fv5//bu/O4qKr+D+CfYRtklc3AQJYQY0lNQQgXlhQwFUEx0lTQ0FjMJ8sttAA3UuTBygVIQFCxxUQxNySx58m0QB9TFCUFUghiFVBEBM7vD18zPy4zINvACN/368XrxXzn3HvP/XIvd86cc8/9+OOPMW3aNHz00Ue4evUqIiIiIC8vDw8PjzaXu3TpEq5cuQJPT0+YmZmhtLQUsbGxWLx4Mb755hsoKSn13k5IWG1tLQICAqCrq4tt27ahsrISUVFRqK6uxsaNG9tdNj09HaGhofD19YWdnR3Onz+PTz75BCoqKrCzs+ulPegbXc1bSUkJjhw5And3d/j7+6OxsRGHDh3C4sWLER8fPyAab9055gTq6+sRFRUFLS0tCddWenQnb3V1dVi6dCn4fD5WrlwJDQ0N3L9/H42Njb1U+77VndyFh4fj559/RkBAAExNTZGdnY3o6GjU1NRg1apVvbQHfefu3bu4cOECLC0t0dzcjObm5g4tN5CvD/0SI4QQCfvggw/YwoULObFNmzYxV1dX1tTU1OZyVVVVrLm5mRPLzc1lY8eOZcePH5dIXftKQkICGz9+PKuqqhLGTp06xcaOHcvy8vLaXXb27NlszZo1nFhQUBDz8fGRQE2lS1fzVldXxx4/fsyJ1dfXM1dXVxYaGiqp6kqV7hxzAnv27GFLlixhISEhbM6cORKqqXTpTt527tzJZs6cKXLsDRRdzd3Tp0+Zvb09i46O5sTDw8PZlClTJFVdqdLyWtmZ820gXx/6I7rHjRAiUQ0NDcjMzISLiwsn7ubmhvLycty+fbvNZQcPHgwej8eJmZqaQlZWFmVlZRKpb1/59ddfMW7cOAwePFgYc3Z2hoKCAi5cuNDmckVFRSgoKICrqysn7ubmhhs3buDBgwcSqrF06GreBg0aJDI0i8/nw9jYuN8dW23pau4ECgsLceDAAaxcuVKCtZQ+3clbamoqZs6c2amhqP1Jd3LX2NgIZWVlTkxVVRVsgEyOLiPT+Y/sA/360B9Rw40QIlGFhYV4+vQpjI2NOXETExMAQH5+fqfWd+3aNTQ1NYms70WXn58vsk8KCgrQ19dvN0eC91ova2xsDMYYCgoKeryu0qSreRPn8ePHuH37dr87ttrS3dxt374d06ZNg5mZmaSqKJW6mreioiJUVFRAVVUVH374Id544w28+eab2Lp1K+rr6yVdbanQ1dzJycnB3d0d3333HbKzs1FXV4esrCykpKRIzYORpdFAvz70R3SPGyFEompqagA8+2a0JcFrwfsd0djYiMjISBgaGmLChAk9V0kpUFNTI5Ij4Fme2stRbW0tAEBFRYUTV1NTA/BsIoT+rKt5E2f37t2or68fMB8Eu5O7//znP7h27RqOHDkiqepJra7mraKiAgDw5Zdf4s0338QXX3yBvLw87Nq1C0+fPsX69eslVmdp0Z1jbu3atQgPD4evr68w5u3tjSVLlvR0NfuNgX596I+o4UYI6bSHDx+ivLz8ueWGDh0q/L31kMeu2Lp1K+7evYuvv/4acnID499XR4cBtc6vYLmeyPuLqLPDp06fPo1Dhw5hzZo1MDAwkFCtXgzPy92TJ08QGRmJpUuXcoa8DXTPy5tgMgkjIyOEhIQAAMaNG4fGxkZ8+eWX8Pf375ez5XZER87XnTt34r///S/WrVsHQ0ND5OTkIDY2Fmpqanj//fd7oZYvLro+9B8D45MPIaRHZWRkICws7LnlDh48KPxmr/W3qYJvAgXvP09sbCxSU1Oxbds2WFhYdLLG0k9NTU2Yk5YePnzY7tA9wbfXtbW1nJn9OpvfF1VX89bSpUuXEBYWhgULFjz3ERX9SVdzd+jQIcjIyMDNzU24/NOnT8EYQ21tLRQVFSEvLy+xeve1ruZNXV0dAGBjY8OJ29jYoLm5GQUFBf2+4dbV3N25cwf79+9HZGQkHBwcAABjxoyBjIwMduzYgTlz5kBTU1Ni9X5RDfTrQ39EDTdCSKfNmDEDM2bM6FDZhoYGyMvLIz8/H/b29sJ4Xl4eANGx9+J8//33iI2NRXBwsPCi3d8YGxuL3OPR0NCAwsJCuLu7t7sc8OxeBiMjI2E8Pz8fPB6PE+uPupo3gezsbKxevRqTJ0/G8uXLJVVNqdTV3BUUFOD+/ftinwPl5OSEtWvXwsvLq8frKy26mjd9fX2xDdqB1PvR1dwJlhkxYgQnbmZmhqamJhQXF1PDTYyBfn3oj2hyEkKIRCkoKMDGxgbp6emc+JkzZ6CtrS1yIW7tzJkziIiIgL+/P2bNmiXJqvYpe3t7ZGZmcmb5ysjIQENDA8aPH9/mci+//DKMjIyQlpbGiZ85cwaWlpb9fihbV/MGPPvw8q9//QujRo1CSEjIgPjg3FJXc+fr64vo6GjOzxtvvIGhQ4ciOjq63365ItDVvMnLy8PW1haZmZmceGZmJmRlZYUTNvVnXc2dnp4eACAnJ4cTF7xuOSyf/L+Bfn3oj6jhRgiROD8/P9y8eRObNm1CVlYW4uLicPToUfj7+3OmOPbw8EBAQIDw9eXLlxESEoLRo0fD1tYW169fF/4UFhb2xa5IzOzZs6GqqoqPP/4YFy9exIkTJxAREYGpU6dyeiU3bNgAW1tbzrL+/v5IT0/Hrl27kJWVhcjISFy6dAn+/v69vRu9rqt5q6ysxLJlyyAnJ4cFCxYgJydHeGzdunWrL3al13U1d0ZGRrC2tub8aGlpQVFREdbW1tDR0emL3ek13TlX/fz8kJubi88++wyXLl1CcnIyYmJi8Pbbb0NDQ6O3d6XXdTV35ubmsLS0RHh4OA4fPoysrCwkJiYiJiYGU6ZMGRC5q6+vR3p6OtLT01FcXIxHjx4JX1dVVQGg68NAQEMlCSESN3LkSERGRmL37t04ceIEhgwZgpUrV8LDw4NTrqmpCU1NTcLXWVlZaGxsxJUrV7Bo0SJO2enTpyM0NLQXat87VFVVsWfPHkRERGDVqlVQVFSEq6srPvjgA0655uZmTo4AYPLkyaivr0d8fDwOHDgAAwMDhIeHw87Orjd3oU90NW95eXn4559/AACBgYGcsnp6ejh+/LjkK9/HunPMDWTdyZuVlRV27NiBXbt2YcWKFVBXV4e3tzfnC6v+rKu5k5WVRVRUFPbs2YOkpCRUVFTgpZdegre3NxYvXtzbu9EnKisrsXbtWk5M8Do6OhrW1tZ0fRgAeGygPLmQEEIIIYQQQl5QNFSSEEIIIYQQQqQcNdwIIYQQQgghRMpRw40QQgghhBBCpBw13AghhBBCCCFEylHDjRBCCCGEEEKkHDXcCCGEEEIIIUTKUcONEEIIIYQQQqQcNdwIIYQQQgghRMpRw40QQsgLLzQ0FDweDwUFBX1dFZSWlkJdXR2xsbHCWEFBAXg8HkJDQ/uuYkRqGBkZwdHRscvLOzo6wsjIqMfq018sW7YM5ubmaGxs7OuqECIR1HAjhBApVVpaitWrV8PKygqqqqpQV1fH8OHD8c477+DIkSOcso6OjlBUVGxzXdu3bwePx8P58+fFvl9dXQ0lJSXweDzs27evzfUYGRmBx+MJfxQUFGBkZAQ/Pz/cv3+/K7vZ73z66afQ1NTEokWL+roqvSY0NBRHjx7t62qQXnT16lWEhob2+pcl58+fR2hoKB48eCDyXnBwMAoKChAdHd2rdSKkt1DDjRBCpND9+/cxcuRI7Nq1C/b29vj888+xZcsWTJ8+HVeuXEF8fHyPbi85ORn19fV45ZVXEBcX125ZPT097N+/H/v378cXX3wBW1tbxMfHw9bWFuXl5T1arxdNUVER4uPjERQUBHl5eWHc0NAQjx8/xvr16/uwdpITFhZGDbcB5urVqwgLC+uThltYWJjYhtvQoUPh7e2NLVu2UK8b6Zfk+roChBBCREVEROCff/5BamoqZsyYwXkvKioKhYWFPbq9uLg4TJo0Cd7e3ggMDMTt27cxYsQIsWXV1NQwf/584euAgAAMGTIEO3fuRHx8PFavXt2jdXuRxMbGgjGGd999lxPn8Xjt9ogSQnrGggULkJiYiKNHj8LLy6uvq0NIj6IeN0IIkUK5ubkAACcnJ7Hv6+vr99i2rl27hsuXL8PX1xdz584Fn8/vdI+eq6srAODu3bttljl16hR4PB7+/e9/i31/4sSJ0NLSQkNDAwDg999/h6+vL8zMzKCkpARVVVWMHz8eKSkpHaqTr68veDye2Pd4PB58fX1F4t9++y0mTJgAVVVVKCkpwdbWFocPH+7Q9gDgu+++w+jRo6Gnp8eJi7vHrWVMsNygQYNgamqKhIQEAMC9e/fg5eUFTU1NqKqqYt68eaiurha7n2VlZVi4cCG0tLSgpKQEZ2dnXL58WaSOu3fvhouLC15++WUoKChAT08P8+fPb7PnJCMjA9OmTYOWlhYUFRVhYmKC9957D+Xl5Th//rwwx4mJicIhtB25/6qiogLLly/HsGHDoKCggKFDh8LPzw/FxcWccoJt7Nu3D3v37oWFhQX4fD4MDQ2xbdu2524H6LlcA0B2djZmz54NbW1t8Pl8jBgxAhs2bMCTJ09Eyubk5GDatGlQUVHB4MGDMXPmTOTl5bVZz/T0dLi4uGDw4MFQVFTEyJEje2TYX0JCAqytrYXnkZOTE9LS0kTKtXVe7Nu3jzPU2tfXVzgU2MnJSfh3FxzfgntOb9y4geXLl0NXVxeKiooYN24czp49y1l3e/d/tr531dHREWFhYQAAY2Nj4XZbDu92dHSEsrIyvv32284liZAXAPW4EUKIFDIxMQEAfP311/jwww/bbIC01tZQxbq6ujaX2bt3L5SVleHl5QUVFRW4u7sjKSkJmzdvhpxcxy4Tf/75JwBAW1u7zTIuLi7Q09NDUlISPvroI857+fn5uHDhAgICAqCgoAAASElJQW5uLubOnQt9fX1UVFQgMTERs2bNwsGDBzFv3rwO1a2j1q9fj82bN8PNzQ0bN26ErKwsUlJSMGfOHOzcuRNBQUHtLl9aWopbt24hMDCwU9v98ccfERMTg4CAAGhqaiI+Ph6LFy+GvLw81q9fjzfffBNbtmxBZmYm4uPjoaioKLZh7ebmBk1NTYSGhqKkpAQ7d+6Eg4MDfv31V4wcOVJYLjIyEvb29pgyZQoGDx6M7Oxs7N27F+fOncP169ehpaUlLCuol4GBAQIDAzFs2DDcu3cPx48fR2FhIczNzbF//34sWLAAEydOxNKlSwEAKioq7e5zTU0NJkyYgNu3b8PHxwfjxo1DdnY2YmJikJaWhszMTLz00kucZfbs2YPS0lL4+flBXV0dBw4cwJo1a6Cvr9/hY6G7ub5y5QomTZoEGRkZBAUFQV9fH2fOnEFISAguXryIEydOQEbm2Xfi+fn5mDBhAurq6hAYGAgTExP89NNPcHJyEns+xsbGwt/fH3Z2dli3bh1UVFRw9uxZBAQE4O7du4iIiOjQPrYWHByM8PBwjB07Fhs3bkR9fT3i4uLg5uaG/fv3i/QOd8T7778PPp+P2NhYBAcHw9zcHAA4xxkALFy4ELKyslizZg1qa2sRExODqVOn4uTJk3Bxcen0dtetWwdNTU2kpKQgKipK+P/G3t5eWEZWVhY2Njb4+eefwRjr8P9OQl4IjBBCiNS5e/cuU1NTYwCYgYEBmzdvHouKimJZWVliyzs4ODAAz/3JyMjgLFdfX880NTXZwoULhbETJ04wAOzYsWMi2zE0NGSmpqasrKyMlZWVsby8PBYfH8/U1dWZrKws++OPP9rdr5UrVzIAIuVCQ0MZAPbbb78JYw8fPhRZ/tGjR8zMzIyZm5tz4iEhIQwAy8/PF8Z8fHxYW5c5AMzHx0f4OisriwFga9euFSk7c+ZMpqqqympqatrdt3PnzjEALDIyUuS9/Px8BoCFhISIxJSVldm9e/eE8bKyMqaoqMh4PB7bsWMHZz2enp5MTk6O1dbWiuynp6cna25u5uwTj8djkydP5qxDXF7T09MZALZ161Zh7P79+0xBQYFZWFiw6upqkWWampqEv7fO5/OsW7eOARDZvwMHDjAAbMmSJcJYRkYGA8D09PRYVVWVMP7o0SOmra3N7Ozsnru9nsr1+PHjmYyMDLt8+TKn7JIlSxgAdvDgQWFs7ty5DAA7deoUp2xQUBADwBwcHISxv//+m/H5fPbOO++I1H358uVMRkaG3blzRxhzcHBghoaGz93v27dvMx6Px2xtbVl9fb0wXl5eznR1dZmGhgbneGjr75iQkCDy/0NcTEBwPo4bN449efJEGL9//z5TVlZmw4cPFx6r4s6N1utpeV6Li7X23nvvMQCspKSkzTKEvIhoqCQhhEghExMT/PHHHwgMDERzczOSk5OxYsUKWFtbY+TIkWKHwMnLy+Ps2bNifwQ9Ia2lpKSgsrKSMzzK1dUVenp6bU5ScufOHejo6EBHRwcmJiZYvHgxNDQ08MMPP4h8496aj48PACApKYkTP3DgAF599VWMGzdOGFNWVhb+XldXh4qKCtTV1cHZ2Rk5OTmoqalpd1udkZycDOBZD0F5eTnnx93dHbW1tbh48WK76ygrKwMAaGpqdmrbHh4eMDAwEL7W1taGmZkZZGRk4O/vzyk7ceJENDY2ih3WuHr1ak7vwtixYzFlyhScO3eOkytBXpubm1FdXY3y8nKMGjUK6urq+O2334Tlvv/+ezQ0NODTTz+FmpqayPYEPUtdkZKSAk1NTZHeyXnz5sHU1FTscNhFixZh8ODBwtdKSkqws7MT9vZ2RHdyXVZWhgsXLmDatGkYM2YMp+ynn34KAMLZXpubm3H8+HGMGjUKbm5unLLBwcEi9Tp8+DCePHmCRYsWiRx/M2bMQHNzM3766acO76fAsWPHwBjD6tWrwefzhXEtLS0EBgaiqqoKGRkZnV5vR61YsULYgw48G+L97rvv4s8//8SNGzcktl1Br3FpaanEtkFIX6ChkoQQIqWMjIywa9cu7Nq1C8XFxbh48SISExORmpqK6dOn48aNG5xGgoyMDCZPnix2XVevXhUbj4uLg46ODvT19XHnzh1hfMqUKUhOTkZJSQl0dXU5yxgYGAiHjwnukTI1Ne3QkCQrKyu8/vrrSE5OxtatWyErK4sLFy7gzp07CA8P55QtLS3F+vXrcezYMbEfwB48eCC2QdEVOTk5AAALC4s2y/zzzz/trkOw/4yxTm3b2NhYJKahoQE9PT3Oh21BHHh2f1hrguFqLVlYWCAtLQ35+fkYNWoUAODcuXPYsGEDfvvtN9TX13PKV1VVCX8XNIgEy/WkvLw8jB49mjPzJvAsh5aWljh27Bhqamo4f1/B8OGWtLS0xOaiLd3JteDeNEtLS5F1GBgYQF1dXVimtLQUDx8+FPs3GTp0KNTV1TkxwfEnuFdUnOcdf+K0V+fXXnuNU0YS2jomgWf3w1pZWUlku4JzkIZJkv6GGm6EEPIC0NPTw6xZszBr1izMmzcPhw4dwsmTJzmzO3ZWQUEBfvrpJzDGYGZmJrZMYmIi1qxZw4kpKSm12UDsCB8fH3z44Yc4e/Ys3NzckJSUBBkZGc6+NDc3Y8qUKbh16xaWL18OGxsbqKurQ1ZWFgkJCUhOTkZzc3O722nrQ5u4acIFH/ROnjwp0pgQEPfhtyUdHR0A3MZPR8jKynYqDnS8cdj6A+zvv/8OFxcXmJqa4vPPP4exsTEGDRoEHo+Hd955h5PTzjZAe0pb220vHx3VnVx3JR8dbTgI1p2QkNDmxEPiGq4dXW9n32utq1Pri9v/1sdkeznq6nYrKysB/P85SUh/QQ03Qgh5wbzxxhs4dOgQioqKurWehIQEMMYQExMjdnjfhg0bEB8fL9Jw66558+Zh1apVSEpKgpOTE7777js4OztzPrBev34d165dw2effSacRU5g7969HdqOYJ8qKys5+yeuh8HMzAynT5+Gvr6+sCeisywtLcHj8Tg9l70pJycHdnZ2IjEZGRnhLI+HDh1CU1MTTp06xel9evTokUiDU/A4iKtXr4rtOekOExMT5Obm4unTpyIN5Zs3b0JbW7vHelN7yiuvvAIAYof4FRYWorq6WlhmyJAhUFFRwc2bN0XK/v333yKzVQq+ONHS0urWlyLt1bn14z0E+yEoAzw7ZwSNnpbEnTMdaZTevHlTZPi0oHdR0BBteZ721HYFw7mHDBny3LKEvEjoHjdCCJFCGRkZePz4sUhccO8M0P6wvudpbm7Gvn37YGFhgaVLl8LLy0vk591330Vubi5++eWXLm9HHB0dHUydOhVHjx7FwYMH8eDBA+G9bwKCHpDWvQLZ2dkdfhyA4MNweno6Jx4ZGSlSVtDbFxwcLPZb/o7cK6OjowMLCwv8/vvvHapfT9u2bRsnX1euXEF6ejqcnZ2FjaC28rplyxaRHkwvLy8oKChg06ZNYu8nbLkOFRWVTvU0enp6orKyEjExMZz4N998gzt37mDWrFkdXldv0dHRwfjx43Hy5EmRocebN28GAGG9ZWRk4O7ujj/++AOnT5/mlN2yZYvIuufMmQM+n4/Q0FCxM05WV1eLfdzA83h4eIDH42H79u3Cx2wAzxpJu3fvhoaGBhwdHYVxMzMzXLx4kVOHqqoq4SMTWhLMHNre3z0qKoqz3cLCQiQnJ8PMzEzYg62qqgpdXV2cO3eOc0zl5eWJfaj787bb1NSErKwsTJo0iYZKkn6HetwIIUQKRUZG4sKFC5g+fTrGjh0LdXV1lJSU4IcffsDly5fh5OSEadOmdXn9Z8+exb179/DZZ5+1WWb27NlYu3Yt4uLiMGHChC5vSxwfHx+kpqZixYoVUFFREfmgbm5uDktLS2zbtg11dXUYMWIEcnNzERMTAysrK1y5cuW525g7dy6Cg4OxdOlS3Lp1C1paWjh16pTYRybY2NggLCwMISEhGD16NN5++20MHToUxcXFuHz5Mk6ePMn5ANqWOXPmYOPGjSguLhZ5lpuk/fXXX3B1dYW7uzuKi4uxc+dODBo0iNNQ9fT0RFRUFN566y0sXboUCgoKOHv2LK5duybyKAd9fX3s2LEDQUFBeO2117Bw4UIYGhqiqKgIx44dQ3x8PEaPHg0AsLW1RXp6OiIiImBgYABlZWWRB8e3tHr1ahw+fBjLly/H//73P9jY2AgfB6Cvr48NGzZIJEfd9eWXX2LSpElwcHBAUFAQXn75ZaSlpSE1NRWurq7w9vYWlt20aRNOnz4NT09PBAUFCR8HkJWVJTbXe/bsgZ+fH8zNzYW5Lisrw/Xr13H06FHcvHmzQ8/Ha2n48OFYu3YtwsPDMX78eMydO1f4OICSkhIkJSVxJgFatmwZ5s+fD2dnZyxYsAAPHjzA119/DUNDQ5SUlHDWbW1tDRkZGYSHh6OqqgpKSkqwsrLi3LfW2NiIiRMnYu7cuaitrUV0dDQeP36Mr776itOoWrZsGdavX4+pU6fCw8MDf//9N6Kjo2FlZYXMzEzOdm1tbQEAn3zyifC5k7a2tsIe5PPnz+PRo0d4++23O5UrQl4IvTqHJSGEkA65ePEi++ijj5i1tTUbMmQIk5OTY+rq6szOzo5FRkZypvZm7Nn04Hw+v831RUREcKbunjNnDgPArl271m49Ro4cyZSVlYVT4RsaGrIRI0Z0b+cYY0+ePGGampoMAPP19RVbpqCggHl5eTFtbW02aNAgZmNjw44cOdKpKcIvXbrE7O3tGZ/PZ1paWmzJkiWsqqqqzWnPf/zxR+bi4sI0NDSYgoIC09fXZ25ubmz37t0d2q+ioiImJyfHtm/fzom39zgAcdOgtzXdu7gp2AWPAygtLWXz589nmpqabNCgQczJyUns4yNSUlLYmDFjmJKSEtPS0mLe3t7sr7/+YoaGhpwp6gXOnDnDJk+ezNTU1Bifz2fGxsbMz8+PlZeXC8vcunWLOTs7MxUVFQagQ1PVl5eXs2XLljF9fX0mLy/PdHV12XvvvceKioo45QSPA0hISBBZR3uPfGipp3LNGGPXr19nnp6eTFNTk8nLy7Phw4ez0NBQkXOSMcZu3rzJ3nrrLaasrMzU1NSYu7s7u3v3bpu5/uWXX5iHhwfT0dFh8vLyTE9Pjzk6OrLt27ezx48fP7fObYmLi2NjxoxhioqKTFlZmTk4OLDTp0+LLbtt2zY2bNgwpqCgwF599VUWFxfXZi7i4uKYmZkZk5OT4+RXcD5mZ2ezZcuWsZdeeonx+XxmY2PD0tLSRLb59OlTtmrVKqarq8v4fD57/fXXWWpqapvn9ebNm9mwYcOYrKysyLHh4+PDdHV1WUNDQ4fzQ8iLgsdYH919TAghhPRD/v7+SEtLw+3bt9uc6KQn+fr6IjExsc8mEyGktdDQUISFhSE/P7/TvYTdUVxcjFdeeQVbt27FBx980GvbJaS30D1uhBBCSA/asGEDKioqxN4XRAiRnC1btsDQ0BABAQF9XRVCJILucSOEEEJ60JAhQ0RmDSSESN5XX33V11UgRKKox40QQgghhBBCpBzd40YIIYQQQgghUo563AghhBBCCCFEylHDjRBCCCGEEEKkHDXcCCGEEEIIIUTKUcONEEIIIYQQQqQcNdwIIYQQQgghRMpRw40QQgghhBBCpBw13AghhBBCCCFEylHDjRBCCCGEEEKk3P8B6A8r3560/+QAAAAASUVORK5CYII=",
"text/plain": [
"<Figure size 800x550 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"shap.plots.beeswarm(explanation[:, :, 0])"
]
},
{
"cell_type": "code",
"execution_count": 32,
"id": "97fe5e2d-648e-4948-a49b-38e2a99df85d",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 800x650 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"shap.plots.bar(explanation[:, :, 0].max(0))"
]
},
{
"cell_type": "code",
"execution_count": 33,
"id": "ad7d8bd6-5f80-474e-9887-7218a70f2f9e",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 800x550 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"shap.plots.beeswarm(explanation[:, :, 1])"
]
},
{
"cell_type": "code",
"execution_count": 34,
"id": "4ec7432a-0ce6-49f6-aedf-f497ef066b85",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 800x650 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"shap.plots.bar(explanation[:, :, 1].max(0))"
]
},
{
"cell_type": "code",
"execution_count": 35,
"id": "637cf0d7-a09a-4213-b941-680b531b1d6b",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 800x550 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"shap.plots.beeswarm(explanation[:, :, 2])"
]
},
{
"cell_type": "code",
"execution_count": 36,
"id": "7c1698d6-d591-4754-8ea5-e251d8bb9866",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 800x650 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"shap.plots.bar(explanation[:, :, 2].max(0))"
]
},
{
"cell_type": "code",
"execution_count": 37,
"id": "365289b8-1169-4924-8920-82d268e676c3",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 800x550 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"shap.plots.beeswarm(explanation[:, :, 3])"
]
},
{
"cell_type": "code",
"execution_count": 38,
"id": "6cc9f2bc-ae6d-45a6-ac18-695502a09af2",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 800x650 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"shap.plots.bar(explanation[:, :, 3].max(0))"
]
},
{
"cell_type": "code",
"execution_count": 39,
"id": "a67a9613-4c4b-4960-97ab-73e4f5cffca2",
"metadata": {},
"outputs": [],
"source": [
"prediction_errors = [a != pred[idx] for idx, a in enumerate(list(target_test))]"
]
},
{
"cell_type": "code",
"execution_count": 40,
"id": "dec84bfd-4f2e-45f8-b87b-721aebc09dde",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"1775 artwork_type sculpture material steel tourism ...\n",
"1516 leisure garden\n",
"3995 \n",
"2473 cycleway:left shared_lane cycleway:left:lane p...\n",
"2440 \n",
" ... \n",
"3044 bicycle designated cycleway:surface asphalt fo...\n",
"4203 leisure garden\n",
"3894 club fishing\n",
"1042 \n",
"721 \n",
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"execution_count": 40,
"metadata": {},
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"source": [
"data_test[prediction_errors]"
]
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"cell_type": "code",
"execution_count": 41,
"id": "f7b79c1b-1791-40d3-8d9b-c347d32d6afc",
"metadata": {},
"outputs": [
{
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],
"text/plain": [
" index osm_info pred actual\n",
"0 1775 artwork_type sculpture material steel tourism ... 2 3\n",
"1 1516 leisure garden 2 1\n",
"2 3995 1 2\n",
"3 2473 cycleway:left shared_lane cycleway:left:lane p... 3 1\n",
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"384 4203 leisure garden 2 0\n",
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"\n",
"[388 rows x 4 columns]"
]
},
"execution_count": 41,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"error_preds = [p for idx, p in enumerate(pred) if prediction_errors[idx]]\n",
"error_actual = [p for idx, p in enumerate(list(target_test)) if prediction_errors[idx]]\n",
"error_df = pd.DataFrame({'index': data_test[prediction_errors].index, 'osm_info': list(data_test[prediction_errors]), 'pred': error_preds, 'actual': error_actual})\n",
"error_df"
]
},
{
"cell_type": "code",
"execution_count": 42,
"id": "c8840f28-539e-4e66-8d7d-2a41e9dfc08f",
"metadata": {},
"outputs": [
{
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"<p>388 rows × 7 columns</p>\n",
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],
"text/plain": [
" index osm_info pred actual \\\n",
"0 1775 artwork_type sculpture material steel tourism ... 2 3 \n",
"1 1516 leisure garden 2 1 \n",
"2 3995 1 2 \n",
"3 2473 cycleway:left shared_lane cycleway:left:lane p... 3 1 \n",
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".. ... ... ... ... \n",
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"384 4203 leisure garden 2 0 \n",
"385 3894 club fishing 2 0 \n",
"386 1042 1 3 \n",
"387 721 1 3 \n",
"\n",
" record_id topic Subclass \n",
"0 141 0 trail-path-and-canal \n",
"1 118 33 flora and funa \n",
"2 353 73 art, history and culture \n",
"3 210 23 natural landmarks \n",
"4 206 28 sport complexes \n",
".. ... ... ... \n",
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"\n",
"[388 rows x 7 columns]"
]
},
"execution_count": 42,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"error_df = pd.merge(error_df, detailed_df[['index', 'record_id', 'topic', 'Subclass']], how=\"left\", on=[\"index\", \"index\"])\n",
"error_df"
]
},
{
"cell_type": "code",
"execution_count": 43,
"id": "ef7cbb4a-2284-45d1-bb8d-71f9bbc91072",
"metadata": {},
"outputs": [
{
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],
"text/plain": [
" index osm_info pred actual \\\n",
"0 1775 artwork_type sculpture material steel tourism ... 2 3 \n",
"1 1516 leisure garden 2 1 \n",
"2 3995 1 2 \n",
"3 2473 cycleway:left shared_lane cycleway:left:lane p... 3 1 \n",
"4 2440 1 0 \n",
".. ... ... ... ... \n",
"383 3044 bicycle designated cycleway:surface asphalt fo... 3 1 \n",
"384 4203 leisure garden 2 0 \n",
"385 3894 club fishing 2 0 \n",
"386 1042 1 3 \n",
"387 721 1 3 \n",
"\n",
" record_id topic Subclass lack_of_context \n",
"0 141 0 trail-path-and-canal False \n",
"1 118 33 flora and funa False \n",
"2 353 73 art, history and culture True \n",
"3 210 23 natural landmarks False \n",
"4 206 28 sport complexes True \n",
".. ... ... ... ... \n",
"383 263 66 natural landmarks False \n",
"384 371 15 picnic False \n",
"385 344 16 picnic False \n",
"386 77 0 trail-path-and-canal True \n",
"387 50 0 trail-path-and-canal True \n",
"\n",
"[388 rows x 8 columns]"
]
},
"execution_count": 43,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"error_df['lack_of_context'] = error_df.apply(lambda row: row['osm_info'].strip() in ('', '[]'), axis=1)\n",
"error_df"
]
},
{
"cell_type": "code",
"execution_count": 44,
"id": "e394b6b6-ac45-4e04-878a-bf284254a1e6",
"metadata": {},
"outputs": [
{
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"text/plain": [
" index osm_info pred actual record_id topic Subclass\n",
"lack_of_context \n",
"False 168 168 168 168 168 168 164\n",
"True 220 220 220 220 220 220 218"
]
},
"execution_count": 44,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"error_df.groupby('lack_of_context').count()"
]
},
{
"cell_type": "code",
"execution_count": 45,
"id": "b8a6b76c-db21-444a-8c24-31b79f2737d9",
"metadata": {},
"outputs": [],
"source": [
"error_df.to_csv('outputs/error_poi_description.csv')"
]
},
{
"cell_type": "code",
"execution_count": 46,
"id": "727ad48e-d733-402a-b474-b1e1529d4699",
"metadata": {},
"outputs": [
{
"data": {
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"53.643966547192356"
]
},
"execution_count": 46,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ALL = len(target_test)\n",
"ERRORS = len(error_df)\n",
"raw_precision = (ALL-ERRORS)/ALL*100\n",
"raw_precision"
]
},
{
"cell_type": "code",
"execution_count": 54,
"id": "1b311541-240b-44ab-8a69-0b57bad4c2fe",
"metadata": {},
"outputs": [
{
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" <td>51</td>\n",
" <td>art, history and culture</td>\n",
" <td>True</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>2587</td>\n",
" <td></td>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" <td>220</td>\n",
" <td>44</td>\n",
" <td>human made landmarks</td>\n",
" <td>True</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>3954</td>\n",
" <td></td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>348</td>\n",
" <td>41</td>\n",
" <td>sport complexes</td>\n",
" <td>True</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>379</th>\n",
" <td>1058</td>\n",
" <td></td>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" <td>80</td>\n",
" <td>44</td>\n",
" <td>human made landmarks</td>\n",
" <td>True</td>\n",
" </tr>\n",
" <tr>\n",
" <th>381</th>\n",
" <td>1550</td>\n",
" <td></td>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" <td>123</td>\n",
" <td>22</td>\n",
" <td>art, history and culture</td>\n",
" <td>True</td>\n",
" </tr>\n",
" <tr>\n",
" <th>382</th>\n",
" <td>1257</td>\n",
" <td></td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>97</td>\n",
" <td>3</td>\n",
" <td>food and beverage</td>\n",
" <td>True</td>\n",
" </tr>\n",
" <tr>\n",
" <th>386</th>\n",
" <td>1042</td>\n",
" <td></td>\n",
" <td>1</td>\n",
" <td>3</td>\n",
" <td>77</td>\n",
" <td>0</td>\n",
" <td>trail-path-and-canal</td>\n",
" <td>True</td>\n",
" </tr>\n",
" <tr>\n",
" <th>387</th>\n",
" <td>721</td>\n",
" <td></td>\n",
" <td>1</td>\n",
" <td>3</td>\n",
" <td>50</td>\n",
" <td>0</td>\n",
" <td>trail-path-and-canal</td>\n",
" <td>True</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>220 rows × 8 columns</p>\n",
"</div>"
],
"text/plain": [
" index osm_info pred actual record_id topic Subclass \\\n",
"2 3995 1 2 353 73 art, history and culture \n",
"4 2440 1 0 206 28 sport complexes \n",
"5 2344 1 2 199 51 art, history and culture \n",
"6 2587 1 2 220 44 human made landmarks \n",
"8 3954 1 0 348 41 sport complexes \n",
".. ... ... ... ... ... ... ... \n",
"379 1058 1 2 80 44 human made landmarks \n",
"381 1550 1 2 123 22 art, history and culture \n",
"382 1257 1 0 97 3 food and beverage \n",
"386 1042 1 3 77 0 trail-path-and-canal \n",
"387 721 1 3 50 0 trail-path-and-canal \n",
"\n",
" lack_of_context \n",
"2 True \n",
"4 True \n",
"5 True \n",
"6 True \n",
"8 True \n",
".. ... \n",
"379 True \n",
"381 True \n",
"382 True \n",
"386 True \n",
"387 True \n",
"\n",
"[220 rows x 8 columns]"
]
},
"execution_count": 54,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"error_df[error_df['lack_of_context']]"
]
},
{
"cell_type": "code",
"execution_count": 60,
"id": "f870b26f-0d49-49d9-9a30-4ef1c1727da3",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"72.77147487844408"
]
},
"execution_count": 60,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# if there is context - it can be derived from the context!\n",
"LACK_OF_CONTEXT = len(error_df[error_df['lack_of_context']])\n",
"with_context_error = (ALL-ERRORS)/(ALL-LACK_OF_CONTEXT)*100 \n",
"with_context_error"
]
},
{
"cell_type": "markdown",
"id": "ac0ba3e3-eae6-4376-b6c8-420597739e5f",
"metadata": {},
"source": [
"**conclusion**: these feautres are relatively standardize due to their known imporatnace otherwise much lower results expected from the OSM attribute information"
]
},
{
"cell_type": "code",
"execution_count": 61,
"id": "ecd20078-f2b8-41b6-ac63-9c3a490870cd",
"metadata": {},
"outputs": [],
"source": [
"# key classification\n",
"# use presence of keys to predict class"
]
},
{
"cell_type": "code",
"execution_count": 62,
"id": "0041080c-2934-45e9-8515-a09763d6fcc8",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"['boundary',\n",
" 'iucn_level',\n",
" 'leisure',\n",
" 'operator',\n",
" 'protect_class',\n",
" 'protection_title',\n",
" 'ref:capad:pa_id',\n",
" 'ref:vicmap:prims_id',\n",
" 'source',\n",
" 'start_date',\n",
" 'type']"
]
},
"execution_count": 62,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"def get_all_key_values_tags(poi_id):\n",
" if poi_id not in osm_detailed_information.keys():\n",
" logger.info(f'missing key in OSM details: {poi_id}')\n",
" return []\n",
" all_info = osm_detailed_information[poi_id]\n",
" tags = []\n",
" for oid, values in all_info.items():\n",
" if 'elements' in values.keys():\n",
" tmp_tags = [[k for k,v in elem['tags'].items() if 'name' not in k] for elem in values['elements'] if 'tags' in elem]\n",
" tmp_tags = [t for tag in tmp_tags for t in tag]\n",
" tags.extend(tmp_tags)\n",
" return tags\n",
"\n",
"get_all_key_values_tags('5')"
]
},
{
"cell_type": "code",
"execution_count": 63,
"id": "92fe8c19-c7e5-4326-a27d-6c42026c3442",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"\u001b[32m2024-12-14 19:36:49.129\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36m__main__\u001b[0m:\u001b[36mget_all_key_values_tags\u001b[0m:\u001b[36m3\u001b[0m - \u001b[1mmissing key in OSM details: 20\u001b[0m\n",
"\u001b[32m2024-12-14 19:36:49.162\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36m__main__\u001b[0m:\u001b[36mget_all_key_values_tags\u001b[0m:\u001b[36m3\u001b[0m - \u001b[1mmissing key in OSM details: 3551\u001b[0m\n",
"\u001b[32m2024-12-14 19:36:49.164\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36m__main__\u001b[0m:\u001b[36mget_all_key_values_tags\u001b[0m:\u001b[36m3\u001b[0m - \u001b[1mmissing key in OSM details: 3552\u001b[0m\n",
"\u001b[32m2024-12-14 19:36:49.164\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36m__main__\u001b[0m:\u001b[36mget_all_key_values_tags\u001b[0m:\u001b[36m3\u001b[0m - \u001b[1mmissing key in OSM details: 3553\u001b[0m\n",
"\u001b[32m2024-12-14 19:36:49.165\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36m__main__\u001b[0m:\u001b[36mget_all_key_values_tags\u001b[0m:\u001b[36m3\u001b[0m - \u001b[1mmissing key in OSM details: 3554\u001b[0m\n",
"\u001b[32m2024-12-14 19:36:49.165\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36m__main__\u001b[0m:\u001b[36mget_all_key_values_tags\u001b[0m:\u001b[36m3\u001b[0m - \u001b[1mmissing key in OSM details: 3555\u001b[0m\n"
]
},
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>index</th>\n",
" <th>record_id</th>\n",
" <th>topic</th>\n",
" <th>Class ID</th>\n",
" <th>Class</th>\n",
" <th>Subclass</th>\n",
" <th>tags</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" <td>0.0</td>\n",
" <td>nature</td>\n",
" <td>natural landmarks</td>\n",
" <td>[addr:housenumber, addr:postcode, addr:street,...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" <td>0.0</td>\n",
" <td>nature</td>\n",
" <td>natural landmarks</td>\n",
" <td>[natural, surface]</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>0.0</td>\n",
" <td>nature</td>\n",
" <td>flora and funa</td>\n",
" <td>[]</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>3</td>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" <td>0.0</td>\n",
" <td>nature</td>\n",
" <td>natural landmarks</td>\n",
" <td>[]</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>4</td>\n",
" <td>1</td>\n",
" <td>23</td>\n",
" <td>0.0</td>\n",
" <td>nature</td>\n",
" <td>natural landmarks</td>\n",
" <td>[waterway]</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" index record_id topic Class ID Class Subclass \\\n",
"0 0 1 2 0.0 nature natural landmarks \n",
"1 1 1 2 0.0 nature natural landmarks \n",
"2 2 1 1 0.0 nature flora and funa \n",
"3 3 1 2 0.0 nature natural landmarks \n",
"4 4 1 23 0.0 nature natural landmarks \n",
"\n",
" tags \n",
"0 [addr:housenumber, addr:postcode, addr:street,... \n",
"1 [natural, surface] \n",
"2 [] \n",
"3 [] \n",
"4 [waterway] "
]
},
"execution_count": 63,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"filtered_df = detailed_df[['index', 'record_id', 'topic', 'Class ID', 'Class', 'Subclass']]\n",
"filtered_df['tags'] = filtered_df.apply(lambda row: get_all_key_values_tags(str(row['index'])), axis=1)\n",
"filtered_df.head()"
]
},
{
"cell_type": "code",
"execution_count": 64,
"id": "0804cce7-496d-4fb3-a986-2d88abcb0f00",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"\u001b[32m2024-12-14 19:36:50.131\u001b[0m | \u001b[1mINFO \u001b[0m | \u001b[36m__main__\u001b[0m:\u001b[36m<module>\u001b[0m:\u001b[36m2\u001b[0m - \u001b[1mall keys: 12701 - unqiue keys: 472\u001b[0m\n"
]
}
],
"source": [
"all_keys = [k for keys in filtered_df['tags'] for k in keys]\n",
"logger.info(f'all keys: {len(all_keys)} - unqiue keys: {len(set(all_keys))}')"
]
},
{
"cell_type": "code",
"execution_count": 65,
"id": "48336978-63a5-4092-9b32-42705a6a062b",
"metadata": {},
"outputs": [],
"source": [
"from collections import Counter\n",
"\n",
"features = [k for k,v in Counter(all_keys).items() if v > 25]"
]
},
{
"cell_type": "code",
"execution_count": 66,
"id": "55dcbc5f-b9b9-4dab-9e6c-fcb7625e70cf",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>class</th>\n",
" <th>addr:housenumber</th>\n",
" <th>addr:postcode</th>\n",
" <th>addr:street</th>\n",
" <th>natural</th>\n",
" <th>surface</th>\n",
" <th>waterway</th>\n",
" <th>leisure</th>\n",
" <th>operator</th>\n",
" <th>source</th>\n",
" <th>...</th>\n",
" <th>area</th>\n",
" <th>horse</th>\n",
" <th>cycleway:both</th>\n",
" <th>maxspeed</th>\n",
" <th>shop</th>\n",
" <th>railway</th>\n",
" <th>train</th>\n",
" <th>water</th>\n",
" <th>lanes</th>\n",
" <th>crossing</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>nature</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>nature</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>nature</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>nature</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>nature</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>5 rows × 72 columns</p>\n",
"</div>"
],
"text/plain": [
" class addr:housenumber addr:postcode addr:street natural surface \\\n",
"0 nature 1 1 1 0 0 \n",
"1 nature 0 0 0 1 1 \n",
"2 nature 0 0 0 0 0 \n",
"3 nature 0 0 0 0 0 \n",
"4 nature 0 0 0 0 0 \n",
"\n",
" waterway leisure operator source ... area horse cycleway:both \\\n",
"0 0 0 0 0 ... 0 0 0 \n",
"1 0 0 0 0 ... 0 0 0 \n",
"2 0 0 0 0 ... 0 0 0 \n",
"3 0 0 0 0 ... 0 0 0 \n",
"4 1 0 0 0 ... 0 0 0 \n",
"\n",
" maxspeed shop railway train water lanes crossing \n",
"0 0 0 0 0 0 0 0 \n",
"1 0 0 0 0 0 0 0 \n",
"2 0 0 0 0 0 0 0 \n",
"3 0 0 0 0 0 0 0 \n",
"4 0 0 0 0 0 0 0 \n",
"\n",
"[5 rows x 72 columns]"
]
},
"execution_count": 66,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"class_dicts = filtered_df[['Class', 'tags']].to_dict(orient='records')\n",
"classification_records = []\n",
"for class_dict in class_dicts:\n",
" if class_dict['Class'] == 'unknown':\n",
" continue\n",
" classification_record = {'class': class_dict['Class']}\n",
" for feature in features:\n",
" if feature in class_dict['tags']:\n",
" classification_record[feature] = 1\n",
" else:\n",
" classification_record[feature] = 0\n",
" classification_records.append(classification_record)\n",
"\n",
"classfication_df = pd.DataFrame(classification_records)\n",
"classfication_df.head()"
]
},
{
"cell_type": "code",
"execution_count": 71,
"id": "c197ea7c-34fc-4036-b8c1-1ca74359253a",
"metadata": {},
"outputs": [],
"source": [
"from sklearn.ensemble import GradientBoostingClassifier\n",
"\n",
"y = classfication_df['class'].astype('category').cat.codes\n",
"X = classfication_df.drop('class', axis=1)\n",
"\n",
"X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, stratify=y, random_state=432)\n",
"clf = GradientBoostingClassifier(n_estimators=100, learning_rate=1.0, random_state=432)\n",
"\n",
"cv_results = cross_validate(clf, X_train, y_train, cv=10, return_estimator=True)\n",
"clf = cv_results['estimator'][cv_results['test_score'].argmax()]\n",
"cv_results['test_score']\n",
"\n",
"pred = clf.predict(X_test)"
]
},
{
"cell_type": "code",
"execution_count": 72,
"id": "4007ff9a-5960-474c-b66b-00f321df46c9",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 1000x500 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import matplotlib.pyplot as plt\n",
"\n",
"from sklearn.metrics import ConfusionMatrixDisplay\n",
"\n",
"fig, ax = plt.subplots(figsize=(10, 5))\n",
"ConfusionMatrixDisplay.from_predictions(y_test, pred, ax=ax)\n",
"ax.xaxis.set_ticklabels(target_names)\n",
"ax.yaxis.set_ticklabels(target_names)\n",
"_ = ax.set_title(\n",
" f\"Confusion Matrix for {clf.__class__.__name__}\\non the original documents\"\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 73,
"id": "a258309b-044b-44a7-a7a1-0e3f931db5a1",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'-1': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 8.0},\n",
" '0': {'precision': 0.6753246753246753,\n",
" 'recall': 0.47706422018348627,\n",
" 'f1-score': 0.5591397849462365,\n",
" 'support': 218.0},\n",
" '1': {'precision': 0.48490945674044267,\n",
" 'recall': 0.8368055555555556,\n",
" 'f1-score': 0.6140127388535032,\n",
" 'support': 288.0},\n",
" '2': {'precision': 0.7019230769230769,\n",
" 'recall': 0.3411214953271028,\n",
" 'f1-score': 0.4591194968553459,\n",
" 'support': 214.0},\n",
" '3': {'precision': 0.47560975609756095,\n",
" 'recall': 0.3577981651376147,\n",
" 'f1-score': 0.4083769633507853,\n",
" 'support': 109.0},\n",
" 'accuracy': 0.5459976105137395,\n",
" 'macro avg': {'precision': 0.4675533930171511,\n",
" 'recall': 0.4025578872407518,\n",
" 'f1-score': 0.4081297968011742,\n",
" 'support': 837.0},\n",
" 'weighted avg': {'precision': 0.5841430162941449,\n",
" 'recall': 0.5459976105137395,\n",
" 'f1-score': 0.5274704937160909,\n",
" 'support': 837.0}}"
]
},
"execution_count": 73,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from sklearn.metrics import classification_report\n",
"classification_report(y_test, pred, output_dict=True) "
]
},
{
"cell_type": "code",
"execution_count": 74,
"id": "862ae6df-912d-43b8-883c-fa92fc057977",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"['leisure',\n",
" 'layer',\n",
" 'natural',\n",
" 'description',\n",
" 'highway',\n",
" 'addr:city',\n",
" 'tourism',\n",
" 'building',\n",
" 'amenity',\n",
" 'operator:type']"
]
},
"execution_count": 74,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"feature_importance = clf.feature_importances_\n",
"importance_df = pd.DataFrame({'features': X_train.columns,\n",
" 'importance': feature_importance})\n",
"importance_df.sort_values(by='importance', ascending=False, inplace=True)\n",
"list(importance_df.features)[:10]"
]
},
{
"cell_type": "markdown",
"id": "e6beeed4-6b79-4d66-97f9-fc560844faf9",
"metadata": {},
"source": [
"## 4. Matched Features\n",
"\n",
"Based on geometries, we have where people put a point to represent a feature, we have their matched osm geometry (not-necessarily a point) and we have the path. The aim of this part is to find out:\n",
"\n",
"* How accurate is the point-based representation?\n",
"* How many POIs are directly accessible to route (ready to be explored and visited) vs. how many are POIs in vita, and we can observe them in the far."
]
},
{
"cell_type": "code",
"execution_count": 75,
"id": "ac0a7489-d403-44f7-9954-ed460b175cfb",
"metadata": {},
"outputs": [],
"source": [
"import pyproj\n",
"from shapely.geometry import Point, LineString\n",
"from shapely.ops import transform\n",
"\n",
"# wgs84_pt = Point(test_case['lng'], test_case['lat'])\n",
"wgs84 = pyproj.CRS('EPSG:4326')\n",
"utm = pyproj.CRS('EPSG:32755')"
]
},
{
"cell_type": "code",
"execution_count": 76,
"id": "a9b8a29f-30d4-4234-b55a-41eb73e319d2",
"metadata": {},
"outputs": [],
"source": [
"# 1. path geometries - POI is the key of the dataframe (repeating the path geometry for the POIs it has)\n",
"# 2. POI point-based representation\n",
"with open('dataset/walkingmaps.json', encoding=\"utf8\") as fp:\n",
" wm_dataset = json.load(fp)\n",
"\n",
"path_dicts = []\n",
"poi_dicts = []\n",
"\n",
"poi_id = 0\n",
"for data_records in wm_dataset:\n",
" path_details_points = [Point(p['lng'], p['lat']) for p in data_records['pathDetails']]\n",
" path = LineString(path_details_points)\n",
" for poi in data_records['pois']:\n",
" path_dicts.append({'poi_id': poi_id, 'geometry': path})\n",
" poi_point = Point(poi['lng'], poi['lat'])\n",
" poi_dicts.append({'poi_id': poi_id, 'geometry': poi_point})\n",
" poi_id += 1"
]
},
{
"cell_type": "code",
"execution_count": 77,
"id": "6161ff8d-d702-4648-b294-e2cd77b04513",
"metadata": {},
"outputs": [],
"source": [
"import geopandas as gpd\n",
"\n",
"all_paths = gpd.GeoDataFrame(path_dicts)\n",
"all_markers = gpd.GeoDataFrame(poi_dicts)"
]
},
{
"cell_type": "code",
"execution_count": 78,
"id": "5e48edcb-7737-4040-8b17-76baed1f2fcf",
"metadata": {},
"outputs": [],
"source": [
"import overpass\n",
"import geojson\n",
"api = overpass.API(timeout=500)\n",
"\n",
"def get_geometries_from_OSM(osm_key):\n",
" splits = osm_key.split(':')\n",
" osm_type = splits[0]\n",
" osm_id = splits[1]\n",
" query = f\"{osm_type}({osm_id});out geom;\"\n",
" result = api.get(query)\n",
" test_gdf = gpd.read_file(geojson.dumps(result), driver='GeoJSON')\n",
" if 'name' not in test_gdf.columns:\n",
" test_gdf['name'] = None\n",
" return test_gdf[~test_gdf.geometry.is_empty][['name', 'geometry']]"
]
},
{
"cell_type": "code",
"execution_count": 79,
"id": "926981c2-44ca-4e1a-b374-724624f7023d",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>name</th>\n",
" <th>geometry</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>Fairhaven Surf Life Saving Club</td>\n",
" <td>LINESTRING (144.08436 -38.46843, 144.08435 -38...</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" name \\\n",
"1 Fairhaven Surf Life Saving Club \n",
"\n",
" geometry \n",
"1 LINESTRING (144.08436 -38.46843, 144.08435 -38... "
]
},
"execution_count": 79,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"get_geometries_from_OSM('way:1089591567')"
]
},
{
"cell_type": "code",
"execution_count": 80,
"id": "3569f74c-2c39-4803-a03a-d76130398dbf",
"metadata": {},
"outputs": [],
"source": [
"from tqdm import tqdm\n",
"import os\n",
"\n",
"# 3. POI matched geometries from OSM? if it is multiple? POI id is not the unique key anymore\n",
"if os.path.isfile(\"outputs/dataframes/osm_geometries.geojson\"):\n",
"\tall_osms_projected = gpd.read_file(\"outputs/dataframes/osm_geometries.geojson\", driver=\"GeoJSON\")\n",
"\n",
"else:\n",
" all_matched_osms = {k:v for k,v in osm_detailed_information.items() if k in poi_matched_and_founds}\n",
" all_gdfs = []\n",
" for poi_id, matches in tqdm(all_matched_osms.items()):\n",
" for osm_key in matches.keys():\n",
" try:\n",
" if len(combined_gdf[combined_gdf['osm_key'] == osm_key]) == 0:\n",
" tmp_gdf = get_geometries_from_OSM(osm_key)\n",
" else:\n",
" tmp_gdf = combined_gdf[combined_gdf['osm_key'] == osm_key]\n",
" tmp_gdf['osm_key'] = osm_key\n",
" tmp_gdf['poi_id'] = poi_id\n",
" all_gdfs.append(tmp_gdf)\n",
" except Exception as e:\n",
" logger.warning(f'error in {poi_id} - {osm_key}', e)\n",
"\n",
" tmp_combined_gdf = gpd.GeoDataFrame(pd.concat(all_gdfs, ignore_index=True))\n",
" errors = ['way:17339082', 'node:232890230', 'node:202031608', 'node:178265674', 'node:1000788635'] # TODO - find the reason for annotation errors / fix relation issue!\n",
" all_osms = tmp_combined_gdf[~tmp_combined_gdf['osm_key'].isin(errors)]\n",
" print(all_osms.head())\n",
"\n",
" all_osms.set_crs(wgs84, inplace=True)\n",
" \n",
" # project to UTM\n",
" all_osms_projected = all_osms.to_crs(utm)\n",
"\n",
" all_osms_projected.drop_duplicates(inplace=True)\n",
" all_osms_projected.to_file(\"outputs/dataframes/osm_geometries.geojson\", driver=\"GeoJSON\")"
]
},
{
"cell_type": "code",
"execution_count": 81,
"id": "3f1e0dbd-0545-4bff-8813-63ca74c43248",
"metadata": {},
"outputs": [],
"source": [
"all_paths.set_crs(wgs84, inplace=True)\n",
"all_markers.set_crs(wgs84, inplace=True)\n",
"\n",
"\n",
"# project to UTM\n",
"all_paths_projected = all_paths.to_crs(utm)\n",
"all_markers_projected = all_markers.to_crs(utm)"
]
},
{
"cell_type": "code",
"execution_count": 82,
"id": "be17ae84-d084-480a-aeac-b26b892ec3fc",
"metadata": {},
"outputs": [],
"source": [
"all_paths_projected['poi_id'] = all_paths_projected['poi_id'].astype(str)\n",
"all_markers_projected['poi_id'] = all_markers_projected['poi_id'].astype(str)"
]
},
{
"cell_type": "code",
"execution_count": 83,
"id": "34c2cf41-40d2-41ea-9a93-79b19ab10112",
"metadata": {},
"outputs": [],
"source": [
"osm_paths = all_osms_projected.merge(all_paths_projected, how='left', on='poi_id', suffixes=('_osm', '_path'))\n",
"osm_markers = all_osms_projected.merge(all_markers_projected, how='left', on='poi_id', suffixes=('_osm', '_marker'))\n",
"marker_paths = all_markers_projected.merge(all_paths_projected, how='left', on='poi_id', suffixes=('_marker', '_path'))"
]
},
{
"cell_type": "markdown",
"id": "1f49ba15-71fc-4b58-85f4-c7a94f87dca1",
"metadata": {},
"source": [
"### 4.1 Distance of OSM from path"
]
},
{
"cell_type": "code",
"execution_count": 84,
"id": "b52658b8-b3c0-4b03-99d5-1d6672c2d419",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>name</th>\n",
" <th>osm_key</th>\n",
" <th>poi_id</th>\n",
" <th>geometry_osm</th>\n",
" <th>geometry_path</th>\n",
" <th>distance</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>Fairhaven Surf Life Saving Club</td>\n",
" <td>way:1089591567</td>\n",
" <td>0</td>\n",
" <td>LINESTRING (245626.149 5738181.179, 245624.792...</td>\n",
" <td>LINESTRING (245632.041 5738144.822, 246231.151...</td>\n",
" <td>36.831181</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>Fairhaven</td>\n",
" <td>way:1007494584</td>\n",
" <td>1</td>\n",
" <td>LINESTRING (244099.747 5738111.339, 244107.629...</td>\n",
" <td>LINESTRING (245632.041 5738144.822, 246231.151...</td>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>Painkalac Creek</td>\n",
" <td>way:30501933</td>\n",
" <td>4</td>\n",
" <td>LINESTRING (244152.558 5741085.677, 244177.172...</td>\n",
" <td>LINESTRING (245632.041 5738144.822, 246231.151...</td>\n",
" <td>44.758793</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>None</td>\n",
" <td>way:69366108</td>\n",
" <td>6</td>\n",
" <td>LINESTRING (246848.218 5738495.009, 246867.434...</td>\n",
" <td>LINESTRING (245632.041 5738144.822, 246231.151...</td>\n",
" <td>11.903296</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>Aireys Inlet Skate Park</td>\n",
" <td>way:69366081</td>\n",
" <td>6</td>\n",
" <td>LINESTRING (246840.690 5738478.884, 246862.489...</td>\n",
" <td>LINESTRING (245632.041 5738144.822, 246231.151...</td>\n",
" <td>13.497913</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3163</th>\n",
" <td>None</td>\n",
" <td>way:1154250924</td>\n",
" <td>4389</td>\n",
" <td>LINESTRING (328545.697 5830837.069, 328546.364...</td>\n",
" <td>LINESTRING (328546.960 5830470.685, 328535.139...</td>\n",
" <td>6.933603</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3164</th>\n",
" <td>None</td>\n",
" <td>way:1110152163</td>\n",
" <td>4390</td>\n",
" <td>LINESTRING (328745.728 5830711.777, 328743.814...</td>\n",
" <td>LINESTRING (328546.960 5830470.685, 328535.139...</td>\n",
" <td>26.456681</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3165</th>\n",
" <td>None</td>\n",
" <td>way:1110152159</td>\n",
" <td>4390</td>\n",
" <td>LINESTRING (328718.055 5830692.776, 328716.555...</td>\n",
" <td>LINESTRING (328546.960 5830470.685, 328535.139...</td>\n",
" <td>28.659478</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3166</th>\n",
" <td>None</td>\n",
" <td>way:1110152160</td>\n",
" <td>4390</td>\n",
" <td>LINESTRING (328750.001 5830684.446, 328748.110...</td>\n",
" <td>LINESTRING (328546.960 5830470.685, 328535.139...</td>\n",
" <td>36.230207</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3167</th>\n",
" <td>None</td>\n",
" <td>way:1110152164</td>\n",
" <td>4390</td>\n",
" <td>LINESTRING (328797.117 5830672.322, 328793.282...</td>\n",
" <td>LINESTRING (328546.960 5830470.685, 328535.139...</td>\n",
" <td>18.027339</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>3168 rows × 6 columns</p>\n",
"</div>"
],
"text/plain": [
" name osm_key poi_id \\\n",
"0 Fairhaven Surf Life Saving Club way:1089591567 0 \n",
"1 Fairhaven way:1007494584 1 \n",
"2 Painkalac Creek way:30501933 4 \n",
"3 None way:69366108 6 \n",
"4 Aireys Inlet Skate Park way:69366081 6 \n",
"... ... ... ... \n",
"3163 None way:1154250924 4389 \n",
"3164 None way:1110152163 4390 \n",
"3165 None way:1110152159 4390 \n",
"3166 None way:1110152160 4390 \n",
"3167 None way:1110152164 4390 \n",
"\n",
" geometry_osm \\\n",
"0 LINESTRING (245626.149 5738181.179, 245624.792... \n",
"1 LINESTRING (244099.747 5738111.339, 244107.629... \n",
"2 LINESTRING (244152.558 5741085.677, 244177.172... \n",
"3 LINESTRING (246848.218 5738495.009, 246867.434... \n",
"4 LINESTRING (246840.690 5738478.884, 246862.489... \n",
"... ... \n",
"3163 LINESTRING (328545.697 5830837.069, 328546.364... \n",
"3164 LINESTRING (328745.728 5830711.777, 328743.814... \n",
"3165 LINESTRING (328718.055 5830692.776, 328716.555... \n",
"3166 LINESTRING (328750.001 5830684.446, 328748.110... \n",
"3167 LINESTRING (328797.117 5830672.322, 328793.282... \n",
"\n",
" geometry_path distance \n",
"0 LINESTRING (245632.041 5738144.822, 246231.151... 36.831181 \n",
"1 LINESTRING (245632.041 5738144.822, 246231.151... 0.000000 \n",
"2 LINESTRING (245632.041 5738144.822, 246231.151... 44.758793 \n",
"3 LINESTRING (245632.041 5738144.822, 246231.151... 11.903296 \n",
"4 LINESTRING (245632.041 5738144.822, 246231.151... 13.497913 \n",
"... ... ... \n",
"3163 LINESTRING (328546.960 5830470.685, 328535.139... 6.933603 \n",
"3164 LINESTRING (328546.960 5830470.685, 328535.139... 26.456681 \n",
"3165 LINESTRING (328546.960 5830470.685, 328535.139... 28.659478 \n",
"3166 LINESTRING (328546.960 5830470.685, 328535.139... 36.230207 \n",
"3167 LINESTRING (328546.960 5830470.685, 328535.139... 18.027339 \n",
"\n",
"[3168 rows x 6 columns]"
]
},
"execution_count": 84,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"osm_paths['distance'] = osm_paths.apply(lambda row: row['geometry_osm'].distance(row['geometry_path']), axis=1)\n",
"osm_paths"
]
},
{
"cell_type": "code",
"execution_count": 85,
"id": "ae83b8f2-1659-4606-b802-008d2a5338d6",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='distance', ylabel='Count'>"
]
},
"execution_count": 85,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sns.histplot(data=osm_paths, x=\"distance\", binwidth=30, kde=True)"
]
},
{
"cell_type": "code",
"execution_count": 86,
"id": "c9132197-9349-4701-b386-c1a02d23a189",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='distance', ylabel='Count'>"
]
},
"execution_count": 86,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sns.histplot(data=osm_paths, x=\"distance\", log_scale=True)"
]
},
{
"cell_type": "code",
"execution_count": 87,
"id": "fd9d43a3-9722-4248-948d-482c5bb0b6fa",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
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" <th></th>\n",
" <th>name</th>\n",
" <th>osm_key</th>\n",
" <th>poi_id</th>\n",
" <th>geometry_osm</th>\n",
" <th>geometry_path</th>\n",
" <th>distance</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>985</th>\n",
" <td>Hanson Bay</td>\n",
" <td>way:367790802</td>\n",
" <td>1269</td>\n",
" <td>LINESTRING (-415748.433 5966119.760, -415750.5...</td>\n",
" <td>LINESTRING (-427139.549 5972355.321, -427138.3...</td>\n",
" <td>308.572642</td>\n",
" </tr>\n",
" <tr>\n",
" <th>586</th>\n",
" <td>Byron Bay</td>\n",
" <td>node:3020491481</td>\n",
" <td>756</td>\n",
" <td>POINT (1147913.423 6814063.553)</td>\n",
" <td>LINESTRING (1146240.900 6814302.557, 1146270.9...</td>\n",
" <td>315.366750</td>\n",
" </tr>\n",
" <tr>\n",
" <th>286</th>\n",
" <td>Dolphin Bay Drive</td>\n",
" <td>way:61376690</td>\n",
" <td>325</td>\n",
" <td>LINESTRING (1110183.689 7065570.930, 1110182.7...</td>\n",
" <td>LINESTRING (1109087.416 7067640.151, 1109087.9...</td>\n",
" <td>323.762437</td>\n",
" </tr>\n",
" <tr>\n",
" <th>251</th>\n",
" <td>Tidal Overlook</td>\n",
" <td>node:257499290</td>\n",
" <td>281</td>\n",
" <td>POINT (440800.969 5680215.346)</td>\n",
" <td>LINESTRING (441175.271 5679757.431, 441135.734...</td>\n",
" <td>331.319109</td>\n",
" </tr>\n",
" <tr>\n",
" <th>747</th>\n",
" <td>Argus Centre</td>\n",
" <td>way:28775678</td>\n",
" <td>954</td>\n",
" <td>LINESTRING (320430.257 5813307.494, 320465.101...</td>\n",
" <td>LINESTRING (320314.826 5813683.508, 320357.588...</td>\n",
" <td>332.468160</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2926</th>\n",
" <td>Wombat Reservoir</td>\n",
" <td>way:32619282</td>\n",
" <td>3951</td>\n",
" <td>LINESTRING (249922.753 5858041.889, 249821.393...</td>\n",
" <td>LINESTRING (249726.474 5858311.456, 249680.418...</td>\n",
" <td>333.453749</td>\n",
" </tr>\n",
" <tr>\n",
" <th>748</th>\n",
" <td>Welsh Church</td>\n",
" <td>way:28775707</td>\n",
" <td>955</td>\n",
" <td>LINESTRING (320396.706 5813274.899, 320415.061...</td>\n",
" <td>LINESTRING (320314.826 5813683.508, 320357.588...</td>\n",
" <td>351.824195</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2295</th>\n",
" <td>Royal Melbourne Yacht Squadron</td>\n",
" <td>way:1006723861</td>\n",
" <td>3034</td>\n",
" <td>LINESTRING (321085.400 5807359.605, 321070.030...</td>\n",
" <td>LINESTRING (316739.732 5809921.043, 316871.590...</td>\n",
" <td>388.204791</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1438</th>\n",
" <td>Community Lane</td>\n",
" <td>way:23274625</td>\n",
" <td>1888</td>\n",
" <td>LINESTRING (454536.975 5777537.511, 454522.953...</td>\n",
" <td>LINESTRING (454137.459 5777611.218, 454139.228...</td>\n",
" <td>394.021322</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1437</th>\n",
" <td>Community Lane</td>\n",
" <td>way:674386038</td>\n",
" <td>1888</td>\n",
" <td>LINESTRING (454513.272 5777420.317, 454517.170...</td>\n",
" <td>LINESTRING (454137.459 5777611.218, 454139.228...</td>\n",
" <td>415.884649</td>\n",
" </tr>\n",
" <tr>\n",
" <th>411</th>\n",
" <td>Black Head</td>\n",
" <td>node:3794145385</td>\n",
" <td>512</td>\n",
" <td>POINT (366356.676 5731697.869)</td>\n",
" <td>LINESTRING (364682.490 5734650.414, 364715.885...</td>\n",
" <td>419.362769</td>\n",
" </tr>\n",
" <tr>\n",
" <th>983</th>\n",
" <td>None</td>\n",
" <td>way:1091557444</td>\n",
" <td>1267</td>\n",
" <td>LINESTRING (-424230.834 5961763.308, -424198.4...</td>\n",
" <td>LINESTRING (-427139.549 5972355.321, -427138.3...</td>\n",
" <td>450.064511</td>\n",
" </tr>\n",
" <tr>\n",
" <th>649</th>\n",
" <td>Lake track</td>\n",
" <td>way:19791804</td>\n",
" <td>840</td>\n",
" <td>LINESTRING (350473.634 5798386.526, 350445.106...</td>\n",
" <td>LINESTRING (350780.968 5796026.614, 350733.538...</td>\n",
" <td>454.228917</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2961</th>\n",
" <td>Little Oberon Bay</td>\n",
" <td>node:2707956416</td>\n",
" <td>4010</td>\n",
" <td>POINT (442005.514 5676989.589)</td>\n",
" <td>LINESTRING (441643.897 5679587.140, 441684.922...</td>\n",
" <td>456.528602</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2960</th>\n",
" <td>Little Oberon Bay</td>\n",
" <td>node:2707956416</td>\n",
" <td>4009</td>\n",
" <td>POINT (442005.514 5676989.589)</td>\n",
" <td>LINESTRING (441643.897 5679587.140, 441684.922...</td>\n",
" <td>456.528602</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2713</th>\n",
" <td>Centenary Track</td>\n",
" <td>way:150175841</td>\n",
" <td>3591</td>\n",
" <td>LINESTRING (266172.710 5829832.259, 266183.486...</td>\n",
" <td>LINESTRING (267426.304 5828217.992, 267449.498...</td>\n",
" <td>473.948654</td>\n",
" </tr>\n",
" <tr>\n",
" <th>984</th>\n",
" <td>Cape Younghusband</td>\n",
" <td>node:5152755708</td>\n",
" <td>1268</td>\n",
" <td>POINT (-418974.700 5963486.242)</td>\n",
" <td>LINESTRING (-427139.549 5972355.321, -427138.3...</td>\n",
" <td>481.160840</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1931</th>\n",
" <td>Carmichael Falls</td>\n",
" <td>node:251157553</td>\n",
" <td>2553</td>\n",
" <td>POINT (521491.754 5901390.715)</td>\n",
" <td>LINESTRING (521306.332 5902609.928, 521296.700...</td>\n",
" <td>523.901063</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1933</th>\n",
" <td>Carmichael Falls</td>\n",
" <td>node:251157553</td>\n",
" <td>2555</td>\n",
" <td>POINT (521491.754 5901390.715)</td>\n",
" <td>LINESTRING (521306.332 5902609.928, 521296.700...</td>\n",
" <td>523.901063</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1932</th>\n",
" <td>Carmichael Falls</td>\n",
" <td>node:8462858358</td>\n",
" <td>2554</td>\n",
" <td>POINT (521445.508 5901286.109)</td>\n",
" <td>LINESTRING (521306.332 5902609.928, 521296.700...</td>\n",
" <td>587.119433</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>Melbourne Magistrates' Court</td>\n",
" <td>way:49961266</td>\n",
" <td>13</td>\n",
" <td>LINESTRING (320175.707 5812896.712, 320139.208...</td>\n",
" <td>LINESTRING (320657.955 5813668.882, 320675.530...</td>\n",
" <td>827.015353</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2964</th>\n",
" <td>Little Waterloo Bay</td>\n",
" <td>node:2705395612</td>\n",
" <td>4018</td>\n",
" <td>POINT (451231.548 5674617.222)</td>\n",
" <td>LINESTRING (441643.897 5679587.140, 441684.922...</td>\n",
" <td>930.805882</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2965</th>\n",
" <td>Little Waterloo Bay</td>\n",
" <td>node:2705395612</td>\n",
" <td>4019</td>\n",
" <td>POINT (451231.548 5674617.222)</td>\n",
" <td>LINESTRING (441643.897 5679587.140, 441684.922...</td>\n",
" <td>930.805882</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2472</th>\n",
" <td>None</td>\n",
" <td>way:22929213</td>\n",
" <td>3261</td>\n",
" <td>LINESTRING (342159.911 5800030.793, 342165.983...</td>\n",
" <td>LINESTRING (344101.899 5799812.314, 344022.195...</td>\n",
" <td>1318.426609</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2962</th>\n",
" <td>Oberon Bay</td>\n",
" <td>node:2707956424</td>\n",
" <td>4011</td>\n",
" <td>POINT (441688.499 5675618.975)</td>\n",
" <td>LINESTRING (441643.897 5679587.140, 441684.922...</td>\n",
" <td>1375.726040</td>\n",
" </tr>\n",
" <tr>\n",
" <th>517</th>\n",
" <td>Station Pier Swinging Basin</td>\n",
" <td>node:9262216550</td>\n",
" <td>674</td>\n",
" <td>POINT (317703.832 5808967.737)</td>\n",
" <td>LINESTRING (320110.398 5809887.371, 319920.633...</td>\n",
" <td>1529.437409</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2175</th>\n",
" <td>Mount Gordon</td>\n",
" <td>node:2582090172</td>\n",
" <td>2895</td>\n",
" <td>POINT (386207.976 5847118.807)</td>\n",
" <td>LINESTRING (388540.240 5847731.695, 388552.002...</td>\n",
" <td>1613.783670</td>\n",
" </tr>\n",
" <tr>\n",
" <th>982</th>\n",
" <td>None</td>\n",
" <td>way:103238740</td>\n",
" <td>1266</td>\n",
" <td>LINESTRING (-428698.538 5960202.998, -428698.8...</td>\n",
" <td>LINESTRING (-427139.549 5972355.321, -427138.3...</td>\n",
" <td>3756.840613</td>\n",
" </tr>\n",
" <tr>\n",
" <th>981</th>\n",
" <td>Cape du Couedic Lighthouse</td>\n",
" <td>node:267904359</td>\n",
" <td>1266</td>\n",
" <td>POINT (-428702.496 5960202.350)</td>\n",
" <td>LINESTRING (-427139.549 5972355.321, -427138.3...</td>\n",
" <td>3760.863864</td>\n",
" </tr>\n",
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],
"text/plain": [
" name osm_key poi_id \\\n",
"985 Hanson Bay way:367790802 1269 \n",
"586 Byron Bay node:3020491481 756 \n",
"286 Dolphin Bay Drive way:61376690 325 \n",
"251 Tidal Overlook node:257499290 281 \n",
"747 Argus Centre way:28775678 954 \n",
"2926 Wombat Reservoir way:32619282 3951 \n",
"748 Welsh Church way:28775707 955 \n",
"2295 Royal Melbourne Yacht Squadron way:1006723861 3034 \n",
"1438 Community Lane way:23274625 1888 \n",
"1437 Community Lane way:674386038 1888 \n",
"411 Black Head node:3794145385 512 \n",
"983 None way:1091557444 1267 \n",
"649 Lake track way:19791804 840 \n",
"2961 Little Oberon Bay node:2707956416 4010 \n",
"2960 Little Oberon Bay node:2707956416 4009 \n",
"2713 Centenary Track way:150175841 3591 \n",
"984 Cape Younghusband node:5152755708 1268 \n",
"1931 Carmichael Falls node:251157553 2553 \n",
"1933 Carmichael Falls node:251157553 2555 \n",
"1932 Carmichael Falls node:8462858358 2554 \n",
"12 Melbourne Magistrates' Court way:49961266 13 \n",
"2964 Little Waterloo Bay node:2705395612 4018 \n",
"2965 Little Waterloo Bay node:2705395612 4019 \n",
"2472 None way:22929213 3261 \n",
"2962 Oberon Bay node:2707956424 4011 \n",
"517 Station Pier Swinging Basin node:9262216550 674 \n",
"2175 Mount Gordon node:2582090172 2895 \n",
"982 None way:103238740 1266 \n",
"981 Cape du Couedic Lighthouse node:267904359 1266 \n",
"\n",
" geometry_osm \\\n",
"985 LINESTRING (-415748.433 5966119.760, -415750.5... \n",
"586 POINT (1147913.423 6814063.553) \n",
"286 LINESTRING (1110183.689 7065570.930, 1110182.7... \n",
"251 POINT (440800.969 5680215.346) \n",
"747 LINESTRING (320430.257 5813307.494, 320465.101... \n",
"2926 LINESTRING (249922.753 5858041.889, 249821.393... \n",
"748 LINESTRING (320396.706 5813274.899, 320415.061... \n",
"2295 LINESTRING (321085.400 5807359.605, 321070.030... \n",
"1438 LINESTRING (454536.975 5777537.511, 454522.953... \n",
"1437 LINESTRING (454513.272 5777420.317, 454517.170... \n",
"411 POINT (366356.676 5731697.869) \n",
"983 LINESTRING (-424230.834 5961763.308, -424198.4... \n",
"649 LINESTRING (350473.634 5798386.526, 350445.106... \n",
"2961 POINT (442005.514 5676989.589) \n",
"2960 POINT (442005.514 5676989.589) \n",
"2713 LINESTRING (266172.710 5829832.259, 266183.486... \n",
"984 POINT (-418974.700 5963486.242) \n",
"1931 POINT (521491.754 5901390.715) \n",
"1933 POINT (521491.754 5901390.715) \n",
"1932 POINT (521445.508 5901286.109) \n",
"12 LINESTRING (320175.707 5812896.712, 320139.208... \n",
"2964 POINT (451231.548 5674617.222) \n",
"2965 POINT (451231.548 5674617.222) \n",
"2472 LINESTRING (342159.911 5800030.793, 342165.983... \n",
"2962 POINT (441688.499 5675618.975) \n",
"517 POINT (317703.832 5808967.737) \n",
"2175 POINT (386207.976 5847118.807) \n",
"982 LINESTRING (-428698.538 5960202.998, -428698.8... \n",
"981 POINT (-428702.496 5960202.350) \n",
"\n",
" geometry_path distance \n",
"985 LINESTRING (-427139.549 5972355.321, -427138.3... 308.572642 \n",
"586 LINESTRING (1146240.900 6814302.557, 1146270.9... 315.366750 \n",
"286 LINESTRING (1109087.416 7067640.151, 1109087.9... 323.762437 \n",
"251 LINESTRING (441175.271 5679757.431, 441135.734... 331.319109 \n",
"747 LINESTRING (320314.826 5813683.508, 320357.588... 332.468160 \n",
"2926 LINESTRING (249726.474 5858311.456, 249680.418... 333.453749 \n",
"748 LINESTRING (320314.826 5813683.508, 320357.588... 351.824195 \n",
"2295 LINESTRING (316739.732 5809921.043, 316871.590... 388.204791 \n",
"1438 LINESTRING (454137.459 5777611.218, 454139.228... 394.021322 \n",
"1437 LINESTRING (454137.459 5777611.218, 454139.228... 415.884649 \n",
"411 LINESTRING (364682.490 5734650.414, 364715.885... 419.362769 \n",
"983 LINESTRING (-427139.549 5972355.321, -427138.3... 450.064511 \n",
"649 LINESTRING (350780.968 5796026.614, 350733.538... 454.228917 \n",
"2961 LINESTRING (441643.897 5679587.140, 441684.922... 456.528602 \n",
"2960 LINESTRING (441643.897 5679587.140, 441684.922... 456.528602 \n",
"2713 LINESTRING (267426.304 5828217.992, 267449.498... 473.948654 \n",
"984 LINESTRING (-427139.549 5972355.321, -427138.3... 481.160840 \n",
"1931 LINESTRING (521306.332 5902609.928, 521296.700... 523.901063 \n",
"1933 LINESTRING (521306.332 5902609.928, 521296.700... 523.901063 \n",
"1932 LINESTRING (521306.332 5902609.928, 521296.700... 587.119433 \n",
"12 LINESTRING (320657.955 5813668.882, 320675.530... 827.015353 \n",
"2964 LINESTRING (441643.897 5679587.140, 441684.922... 930.805882 \n",
"2965 LINESTRING (441643.897 5679587.140, 441684.922... 930.805882 \n",
"2472 LINESTRING (344101.899 5799812.314, 344022.195... 1318.426609 \n",
"2962 LINESTRING (441643.897 5679587.140, 441684.922... 1375.726040 \n",
"517 LINESTRING (320110.398 5809887.371, 319920.633... 1529.437409 \n",
"2175 LINESTRING (388540.240 5847731.695, 388552.002... 1613.783670 \n",
"982 LINESTRING (-427139.549 5972355.321, -427138.3... 3756.840613 \n",
"981 LINESTRING (-427139.549 5972355.321, -427138.3... 3760.863864 "
]
},
"execution_count": 87,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"osm_paths[osm_paths['distance'] > 300].sort_values('distance')"
]
},
{
"cell_type": "markdown",
"id": "9171790c-1a69-4666-b0e2-b4f7b19c9a39",
"metadata": {},
"source": [
"### 4.2 Distance of marker from OSM matches"
]
},
{
"cell_type": "code",
"execution_count": 88,
"id": "83723fa5-5729-4172-8ed8-e403c8e4628a",
"metadata": {},
"outputs": [
{
"data": {
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"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>name</th>\n",
" <th>osm_key</th>\n",
" <th>poi_id</th>\n",
" <th>geometry_osm</th>\n",
" <th>geometry_marker</th>\n",
" <th>distance</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>Fairhaven Surf Life Saving Club</td>\n",
" <td>way:1089591567</td>\n",
" <td>0</td>\n",
" <td>LINESTRING (245626.149 5738181.179, 245624.792...</td>\n",
" <td>POINT (245636.186 5738145.172)</td>\n",
" <td>37.379334</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>Fairhaven</td>\n",
" <td>way:1007494584</td>\n",
" <td>1</td>\n",
" <td>LINESTRING (244099.747 5738111.339, 244107.629...</td>\n",
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" <td>18.282913</td>\n",
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" <tr>\n",
" <th>2</th>\n",
" <td>Painkalac Creek</td>\n",
" <td>way:30501933</td>\n",
" <td>4</td>\n",
" <td>LINESTRING (244152.558 5741085.677, 244177.172...</td>\n",
" <td>POINT (246756.480 5738221.628)</td>\n",
" <td>78.971736</td>\n",
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" <tr>\n",
" <th>3</th>\n",
" <td>None</td>\n",
" <td>way:69366108</td>\n",
" <td>6</td>\n",
" <td>LINESTRING (246848.218 5738495.009, 246867.434...</td>\n",
" <td>POINT (246876.183 5738468.803)</td>\n",
" <td>15.271587</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>Aireys Inlet Skate Park</td>\n",
" <td>way:69366081</td>\n",
" <td>6</td>\n",
" <td>LINESTRING (246840.690 5738478.884, 246862.489...</td>\n",
" <td>POINT (246876.183 5738468.803)</td>\n",
" <td>13.695416</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3163</th>\n",
" <td>None</td>\n",
" <td>way:1154250924</td>\n",
" <td>4389</td>\n",
" <td>LINESTRING (328545.697 5830837.069, 328546.364...</td>\n",
" <td>POINT (328549.043 5830993.562)</td>\n",
" <td>7.764502</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3164</th>\n",
" <td>None</td>\n",
" <td>way:1110152163</td>\n",
" <td>4390</td>\n",
" <td>LINESTRING (328745.728 5830711.777, 328743.814...</td>\n",
" <td>POINT (328807.083 5830689.442)</td>\n",
" <td>40.939589</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3165</th>\n",
" <td>None</td>\n",
" <td>way:1110152159</td>\n",
" <td>4390</td>\n",
" <td>LINESTRING (328718.055 5830692.776, 328716.555...</td>\n",
" <td>POINT (328807.083 5830689.442)</td>\n",
" <td>60.420844</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3166</th>\n",
" <td>None</td>\n",
" <td>way:1110152160</td>\n",
" <td>4390</td>\n",
" <td>LINESTRING (328750.001 5830684.446, 328748.110...</td>\n",
" <td>POINT (328807.083 5830689.442)</td>\n",
" <td>37.456327</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3167</th>\n",
" <td>None</td>\n",
" <td>way:1110152164</td>\n",
" <td>4390</td>\n",
" <td>LINESTRING (328797.117 5830672.322, 328793.282...</td>\n",
" <td>POINT (328807.083 5830689.442)</td>\n",
" <td>19.378314</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>3168 rows × 6 columns</p>\n",
"</div>"
],
"text/plain": [
" name osm_key poi_id \\\n",
"0 Fairhaven Surf Life Saving Club way:1089591567 0 \n",
"1 Fairhaven way:1007494584 1 \n",
"2 Painkalac Creek way:30501933 4 \n",
"3 None way:69366108 6 \n",
"4 Aireys Inlet Skate Park way:69366081 6 \n",
"... ... ... ... \n",
"3163 None way:1154250924 4389 \n",
"3164 None way:1110152163 4390 \n",
"3165 None way:1110152159 4390 \n",
"3166 None way:1110152160 4390 \n",
"3167 None way:1110152164 4390 \n",
"\n",
" geometry_osm \\\n",
"0 LINESTRING (245626.149 5738181.179, 245624.792... \n",
"1 LINESTRING (244099.747 5738111.339, 244107.629... \n",
"2 LINESTRING (244152.558 5741085.677, 244177.172... \n",
"3 LINESTRING (246848.218 5738495.009, 246867.434... \n",
"4 LINESTRING (246840.690 5738478.884, 246862.489... \n",
"... ... \n",
"3163 LINESTRING (328545.697 5830837.069, 328546.364... \n",
"3164 LINESTRING (328745.728 5830711.777, 328743.814... \n",
"3165 LINESTRING (328718.055 5830692.776, 328716.555... \n",
"3166 LINESTRING (328750.001 5830684.446, 328748.110... \n",
"3167 LINESTRING (328797.117 5830672.322, 328793.282... \n",
"\n",
" geometry_marker distance \n",
"0 POINT (245636.186 5738145.172) 37.379334 \n",
"1 POINT (246092.200 5738183.760) 18.282913 \n",
"2 POINT (246756.480 5738221.628) 78.971736 \n",
"3 POINT (246876.183 5738468.803) 15.271587 \n",
"4 POINT (246876.183 5738468.803) 13.695416 \n",
"... ... ... \n",
"3163 POINT (328549.043 5830993.562) 7.764502 \n",
"3164 POINT (328807.083 5830689.442) 40.939589 \n",
"3165 POINT (328807.083 5830689.442) 60.420844 \n",
"3166 POINT (328807.083 5830689.442) 37.456327 \n",
"3167 POINT (328807.083 5830689.442) 19.378314 \n",
"\n",
"[3168 rows x 6 columns]"
]
},
"execution_count": 88,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"osm_markers['distance'] = osm_markers.apply(lambda row: row['geometry_osm'].distance(row['geometry_marker']), axis=1)\n",
"osm_markers"
]
},
{
"cell_type": "code",
"execution_count": 89,
"id": "55a31d54-9ec2-4bb7-8ae3-94c090fde685",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='distance', ylabel='Count'>"
]
},
"execution_count": 89,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sns.histplot(data=osm_markers, x=\"distance\", binwidth=30, kde=True)"
]
},
{
"cell_type": "code",
"execution_count": 90,
"id": "8d053668-9f1c-4c21-be25-b4f853e067c7",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='distance', ylabel='Count'>"
]
},
"execution_count": 90,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sns.histplot(data=osm_markers, x=\"distance\", log_scale=True)"
]
},
{
"cell_type": "code",
"execution_count": 91,
"id": "148002c0-434c-46f9-a6e5-460a933aee0a",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>name</th>\n",
" <th>osm_key</th>\n",
" <th>poi_id</th>\n",
" <th>geometry_osm</th>\n",
" <th>geometry_marker</th>\n",
" <th>distance</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>2713</th>\n",
" <td>Centenary Track</td>\n",
" <td>way:150175841</td>\n",
" <td>3591</td>\n",
" <td>LINESTRING (266172.710 5829832.259, 266183.486...</td>\n",
" <td>POINT (267195.435 5828693.220)</td>\n",
" <td>1016.579661</td>\n",
" </tr>\n",
" <tr>\n",
" <th>251</th>\n",
" <td>Tidal Overlook</td>\n",
" <td>node:257499290</td>\n",
" <td>281</td>\n",
" <td>POINT (440800.969 5680215.346)</td>\n",
" <td>POINT (440170.708 5679371.519)</td>\n",
" <td>1053.219660</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2965</th>\n",
" <td>Little Waterloo Bay</td>\n",
" <td>node:2705395612</td>\n",
" <td>4019</td>\n",
" <td>POINT (451231.548 5674617.222)</td>\n",
" <td>POINT (450682.797 5675572.979)</td>\n",
" <td>1102.088478</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1547</th>\n",
" <td>Barwon Rowing Club</td>\n",
" <td>way:266715496</td>\n",
" <td>2044</td>\n",
" <td>LINESTRING (268159.913 5772667.075, 268153.678...</td>\n",
" <td>POINT (266939.477 5772716.281)</td>\n",
" <td>1197.085726</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2964</th>\n",
" <td>Little Waterloo Bay</td>\n",
" <td>node:2705395612</td>\n",
" <td>4018</td>\n",
" <td>POINT (451231.548 5674617.222)</td>\n",
" <td>POINT (450798.403 5675788.174)</td>\n",
" <td>1248.496951</td>\n",
" </tr>\n",
" <tr>\n",
" <th>649</th>\n",
" <td>Lake track</td>\n",
" <td>way:19791804</td>\n",
" <td>840</td>\n",
" <td>LINESTRING (350473.634 5798386.526, 350445.106...</td>\n",
" <td>POINT (351058.258 5796951.758)</td>\n",
" <td>1275.716561</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2378</th>\n",
" <td>Kyneton</td>\n",
" <td>node:258071034</td>\n",
" <td>3131</td>\n",
" <td>POINT (273928.866 5873415.614)</td>\n",
" <td>POINT (273727.441 5874873.408)</td>\n",
" <td>1471.643301</td>\n",
" </tr>\n",
" <tr>\n",
" <th>517</th>\n",
" <td>Station Pier Swinging Basin</td>\n",
" <td>node:9262216550</td>\n",
" <td>674</td>\n",
" <td>POINT (317703.832 5808967.737)</td>\n",
" <td>POINT (319205.253 5809280.609)</td>\n",
" <td>1533.673093</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2962</th>\n",
" <td>Oberon Bay</td>\n",
" <td>node:2707956424</td>\n",
" <td>4011</td>\n",
" <td>POINT (441688.499 5675618.975)</td>\n",
" <td>POINT (443195.143 5675167.479)</td>\n",
" <td>1572.840086</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1522</th>\n",
" <td>None</td>\n",
" <td>way:563484086</td>\n",
" <td>2012</td>\n",
" <td>LINESTRING (298830.378 5838848.497, 298821.785...</td>\n",
" <td>POINT (297308.071 5839687.767)</td>\n",
" <td>1733.935921</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1523</th>\n",
" <td>Sunbury Bmx Club</td>\n",
" <td>way:563484087</td>\n",
" <td>2012</td>\n",
" <td>LINESTRING (298930.988 5838857.599, 298860.678...</td>\n",
" <td>POINT (297308.071 5839687.767)</td>\n",
" <td>1787.703221</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1645</th>\n",
" <td>Ricketts Point</td>\n",
" <td>node:8899369589</td>\n",
" <td>2183</td>\n",
" <td>POINT (327070.566 5792942.633)</td>\n",
" <td>POINT (325950.275 5794358.391)</td>\n",
" <td>1805.387645</td>\n",
" </tr>\n",
" <tr>\n",
" <th>286</th>\n",
" <td>Dolphin Bay Drive</td>\n",
" <td>way:61376690</td>\n",
" <td>325</td>\n",
" <td>LINESTRING (1110183.689 7065570.930, 1110182.7...</td>\n",
" <td>POINT (1110008.401 7068024.382)</td>\n",
" <td>2049.206851</td>\n",
" </tr>\n",
" <tr>\n",
" <th>407</th>\n",
" <td>Bass Coast Rail Trail</td>\n",
" <td>way:1014546400</td>\n",
" <td>510</td>\n",
" <td>LINESTRING (367244.708 5732024.110, 367253.211...</td>\n",
" <td>POINT (365882.129 5733729.741)</td>\n",
" <td>2183.070847</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2175</th>\n",
" <td>Mount Gordon</td>\n",
" <td>node:2582090172</td>\n",
" <td>2895</td>\n",
" <td>POINT (386207.976 5847118.807)</td>\n",
" <td>POINT (388450.309 5847699.240)</td>\n",
" <td>2316.237598</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" name osm_key poi_id \\\n",
"2713 Centenary Track way:150175841 3591 \n",
"251 Tidal Overlook node:257499290 281 \n",
"2965 Little Waterloo Bay node:2705395612 4019 \n",
"1547 Barwon Rowing Club way:266715496 2044 \n",
"2964 Little Waterloo Bay node:2705395612 4018 \n",
"649 Lake track way:19791804 840 \n",
"2378 Kyneton node:258071034 3131 \n",
"517 Station Pier Swinging Basin node:9262216550 674 \n",
"2962 Oberon Bay node:2707956424 4011 \n",
"1522 None way:563484086 2012 \n",
"1523 Sunbury Bmx Club way:563484087 2012 \n",
"1645 Ricketts Point node:8899369589 2183 \n",
"286 Dolphin Bay Drive way:61376690 325 \n",
"407 Bass Coast Rail Trail way:1014546400 510 \n",
"2175 Mount Gordon node:2582090172 2895 \n",
"\n",
" geometry_osm \\\n",
"2713 LINESTRING (266172.710 5829832.259, 266183.486... \n",
"251 POINT (440800.969 5680215.346) \n",
"2965 POINT (451231.548 5674617.222) \n",
"1547 LINESTRING (268159.913 5772667.075, 268153.678... \n",
"2964 POINT (451231.548 5674617.222) \n",
"649 LINESTRING (350473.634 5798386.526, 350445.106... \n",
"2378 POINT (273928.866 5873415.614) \n",
"517 POINT (317703.832 5808967.737) \n",
"2962 POINT (441688.499 5675618.975) \n",
"1522 LINESTRING (298830.378 5838848.497, 298821.785... \n",
"1523 LINESTRING (298930.988 5838857.599, 298860.678... \n",
"1645 POINT (327070.566 5792942.633) \n",
"286 LINESTRING (1110183.689 7065570.930, 1110182.7... \n",
"407 LINESTRING (367244.708 5732024.110, 367253.211... \n",
"2175 POINT (386207.976 5847118.807) \n",
"\n",
" geometry_marker distance \n",
"2713 POINT (267195.435 5828693.220) 1016.579661 \n",
"251 POINT (440170.708 5679371.519) 1053.219660 \n",
"2965 POINT (450682.797 5675572.979) 1102.088478 \n",
"1547 POINT (266939.477 5772716.281) 1197.085726 \n",
"2964 POINT (450798.403 5675788.174) 1248.496951 \n",
"649 POINT (351058.258 5796951.758) 1275.716561 \n",
"2378 POINT (273727.441 5874873.408) 1471.643301 \n",
"517 POINT (319205.253 5809280.609) 1533.673093 \n",
"2962 POINT (443195.143 5675167.479) 1572.840086 \n",
"1522 POINT (297308.071 5839687.767) 1733.935921 \n",
"1523 POINT (297308.071 5839687.767) 1787.703221 \n",
"1645 POINT (325950.275 5794358.391) 1805.387645 \n",
"286 POINT (1110008.401 7068024.382) 2049.206851 \n",
"407 POINT (365882.129 5733729.741) 2183.070847 \n",
"2175 POINT (388450.309 5847699.240) 2316.237598 "
]
},
"execution_count": 91,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"osm_markers[osm_markers['distance'] > 1000].sort_values('distance') # could be an issue of polygon vs. polyline?"
]
},
{
"cell_type": "code",
"execution_count": 92,
"id": "aae7805a-cc00-4c39-abce-a253c99b75ed",
"metadata": {},
"outputs": [
{
"data": {
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" <th>record_title</th>\n",
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" <tr>\n",
" <th>281</th>\n",
" <td>281</td>\n",
" <td>19</td>\n",
" <td>Tidal River to Squeaky Beach return created by...</td>\n",
" <td>This is a great walk. As its name suggests, Sq...</td>\n",
" <td>Tidal Overlook</td>\n",
" <td>It is worth the short deviation off the track ...</td>\n",
" <td>-39.032663</td>\n",
" <td>146.308750</td>\n",
" <td>POINT (146.30875 -39.03266)</td>\n",
" <td>3999</td>\n",
" <td>...</td>\n",
" <td>Tidal Overlook: It is worth the deviation off ...</td>\n",
" <td>True</td>\n",
" <td>natural peak</td>\n",
" <td>activities</td>\n",
" <td>1.0</td>\n",
" <td>24</td>\n",
" <td>39_pier_prince_kiosk_cunn</td>\n",
" <td>['pier', 'prince', 'kiosk', 'cunn', 'highrise'...</td>\n",
" <td>[\"St Kilda Pier: home of the famou Kirby' Kios...</td>\n",
" <td>fishing to surfing</td>\n",
" </tr>\n",
" <tr>\n",
" <th>325</th>\n",
" <td>325</td>\n",
" <td>22</td>\n",
" <td>Noosa Heads Coastal Track created by Ambler</td>\n",
" <td>This walk follows the shoreline from the main ...</td>\n",
" <td>Dolphin Bay</td>\n",
" <td>Looking towards Picnic Cove.</td>\n",
" <td>-26.377527</td>\n",
" <td>153.107973</td>\n",
" <td>POINT (153.10797 -26.37753)</td>\n",
" <td>31</td>\n",
" <td>...</td>\n",
" <td>Dolphin Bay: Looking to Picnic Cove.</td>\n",
" <td>True</td>\n",
" <td>highway residential</td>\n",
" <td>nature</td>\n",
" <td>0.0</td>\n",
" <td>148</td>\n",
" <td>2_beach_bay_sand_tide</td>\n",
" <td>['beach', 'bay', 'sand', 'tide', 'coastal', 'c...</td>\n",
" <td>['Apollo Bay beach: The beach is most sheltere...</td>\n",
" <td>natural landmarks</td>\n",
" </tr>\n",
" <tr>\n",
" <th>510</th>\n",
" <td>510</td>\n",
" <td>33</td>\n",
" <td>Anderson to Kilcunda created by Embers</td>\n",
" <td>This walk goes from Anderson and ends at Kilcu...</td>\n",
" <td>Bass Coast Rail Trail</td>\n",
" <td>Bass Coast Rail Trail</td>\n",
" <td>-38.534739</td>\n",
" <td>145.461216</td>\n",
" <td>POINT (145.46122 -38.53474)</td>\n",
" <td>3701</td>\n",
" <td>...</td>\n",
" <td>Rail Trail: Rail Trail</td>\n",
" <td>True</td>\n",
" <td>highway cycleway</td>\n",
" <td>nature</td>\n",
" <td>0.0</td>\n",
" <td>12</td>\n",
" <td>66_oscar_trail_blind_spring</td>\n",
" <td>['oscar', 'trail', 'blind', 'spring', 'creek',...</td>\n",
" <td>['Oscar Walk: Oscar Walk beside the Bank start...</td>\n",
" <td>natural landmarks</td>\n",
" </tr>\n",
" <tr>\n",
" <th>674</th>\n",
" <td>674</td>\n",
" <td>46</td>\n",
" <td>Delights of Albert Park created by dianek</td>\n",
" <td>1. Start at the corner of Bridport and Montagu...</td>\n",
" <td>Station Pier</td>\n",
" <td>Cross Beaconsfield Pde, head onto the beach, t...</td>\n",
" <td>-37.846011</td>\n",
" <td>144.945171</td>\n",
" <td>POINT (144.94517 -37.84601)</td>\n",
" <td>4001</td>\n",
" <td>...</td>\n",
" <td>Station Pier: Cros s Pde, head onto the beach,...</td>\n",
" <td>False</td>\n",
" <td>NaN</td>\n",
" <td>activities</td>\n",
" <td>1.0</td>\n",
" <td>24</td>\n",
" <td>39_pier_prince_kiosk_cunn</td>\n",
" <td>['pier', 'prince', 'kiosk', 'cunn', 'highrise'...</td>\n",
" <td>[\"St Kilda Pier: home of the famou Kirby' Kios...</td>\n",
" <td>fishing to surfing</td>\n",
" </tr>\n",
" <tr>\n",
" <th>840</th>\n",
" <td>840</td>\n",
" <td>60</td>\n",
" <td>Lysterfield homesteads & farms created by Ray ...</td>\n",
" <td>For those accustomed to the lake shore, there ...</td>\n",
" <td>Lake track</td>\n",
" <td>This section of track adjoins a flora & fauna ...</td>\n",
" <td>-37.962843</td>\n",
" <td>145.304489</td>\n",
" <td>POINT (145.30449 -37.96284)</td>\n",
" <td>4220</td>\n",
" <td>...</td>\n",
" <td>Lake track: Thi section of track adjoin a flor...</td>\n",
" <td>True</td>\n",
" <td>highway track</td>\n",
" <td>activities</td>\n",
" <td>1.0</td>\n",
" <td>15</td>\n",
" <td>58_golf_tractor_course_emmett</td>\n",
" <td>['golf', 'tractor', 'course', 'emmett', 'spine...</td>\n",
" <td>[\"Golf Club: Walk along the south perimeter of...</td>\n",
" <td>sport complexes</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2012</th>\n",
" <td>2012</td>\n",
" <td>165</td>\n",
" <td>Sunbury Blind Creek: Killara Heights to Rupert...</td>\n",
" <td>Starting at Phillip Drive it is a downhill rid...</td>\n",
" <td>Sunbury BMX and Skate Park</td>\n",
" <td>Just a little detour from the path is the Sunb...</td>\n",
" <td>-37.567557</td>\n",
" <td>144.704937</td>\n",
" <td>POINT (144.70494 -37.56756)</td>\n",
" <td>491</td>\n",
" <td>...</td>\n",
" <td>BMX and Skate Park: Just a little detmy from t...</td>\n",
" <td>False</td>\n",
" <td>NaN</td>\n",
" <td>activities</td>\n",
" <td>1.0</td>\n",
" <td>33</td>\n",
" <td>28_skate_bmx_incrbly_bigger</td>\n",
" <td>['skate', 'bmx', 'incrbly', 'bigger', 'mcg', '...</td>\n",
" <td>['Skate Park: There is a skate park here that ...</td>\n",
" <td>sport complexes</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2044</th>\n",
" <td>2044</td>\n",
" <td>169</td>\n",
" <td>Barwon River Walk: Troop Trail created by Heal...</td>\n",
" <td>The Troop Loop is a walking/running circuit ar...</td>\n",
" <td>Rowing</td>\n",
" <td>Walk past the rowing sheds. Lots of action of ...</td>\n",
" <td>-38.163349</td>\n",
" <td>144.339787</td>\n",
" <td>POINT (144.33979 -38.16335)</td>\n",
" <td>2352</td>\n",
" <td>...</td>\n",
" <td>Rowing: Walk past the rowing sheds. Lot of act...</td>\n",
" <td>True</td>\n",
" <td>leisure sports_centre</td>\n",
" <td>activities</td>\n",
" <td>1.0</td>\n",
" <td>11</td>\n",
" <td>71_rowing_rower_blackbirds_regattum</td>\n",
" <td>['rowing', 'rower', 'blackbirds', 'regattum', ...</td>\n",
" <td>['Rowing: Walk past the rowing sheds. Lot of a...</td>\n",
" <td>fishing to surfing</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2183</th>\n",
" <td>2183</td>\n",
" <td>183</td>\n",
" <td>Black Rock Beach to Ricketts Point Marine Sanc...</td>\n",
" <td>Start at Black Rock Gardens which is overlooke...</td>\n",
" <td>Swans and pelicans</td>\n",
" <td>There are often swans and pelicans at this spo...</td>\n",
" <td>-37.981737</td>\n",
" <td>145.018185</td>\n",
" <td>POINT (145.01818 -37.98174)</td>\n",
" <td>273</td>\n",
" <td>...</td>\n",
" <td>s and pelicans: There are often s and pelican ...</td>\n",
" <td>False</td>\n",
" <td>NaN</td>\n",
" <td>nature</td>\n",
" <td>0.0</td>\n",
" <td>153</td>\n",
" <td>1_bird_duck_birdlife_ducks</td>\n",
" <td>['bird', 'duck', 'birdlife', 'ducks', 'feng', ...</td>\n",
" <td>['Black s: Keep an eye out for the birdlife at...</td>\n",
" <td>flora and funa</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2895</th>\n",
" <td>2895</td>\n",
" <td>248</td>\n",
" <td>Gilberts Gully Trail, Marysville created by Ha...</td>\n",
" <td>This walk takes you through a dry mixed-specie...</td>\n",
" <td>Mt Gordon</td>\n",
" <td>This trail begins by walking in the direction ...</td>\n",
" <td>-37.510917</td>\n",
" <td>145.737827</td>\n",
" <td>POINT (145.73783 -37.51092)</td>\n",
" <td>3882</td>\n",
" <td>...</td>\n",
" <td>Mt Gor: Thi trail begin by walking in the dire...</td>\n",
" <td>False</td>\n",
" <td>NaN</td>\n",
" <td>society</td>\n",
" <td>2.0</td>\n",
" <td>18</td>\n",
" <td>52_aqueduct_proudly_psyche_turning</td>\n",
" <td>['aqueduct', 'proudly', 'psyche', 'turning', '...</td>\n",
" <td>['Back on the aqueduct: Thi is the of the main...</td>\n",
" <td>art, history and culture</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3131</th>\n",
" <td>3131</td>\n",
" <td>271</td>\n",
" <td>Family walk about Kyneton created by URBLR</td>\n",
" <td>Take a fun family walk around Kyneton, passing...</td>\n",
" <td>Kyneton</td>\n",
" <td>Kyneton</td>\n",
" <td>-37.245227</td>\n",
" <td>144.448939</td>\n",
" <td>POINT (144.44894 -37.24523)</td>\n",
" <td>4358</td>\n",
" <td>...</td>\n",
" <td>:</td>\n",
" <td>True</td>\n",
" <td>railway station</td>\n",
" <td>unknown</td>\n",
" <td>4.0</td>\n",
" <td>1454</td>\n",
" <td>-1_reserve_back_track_sign</td>\n",
" <td>['reserve', 'back', 'track', 'sign', 'up', 'af...</td>\n",
" <td>['Nature at it finest: The path is edged by be...</td>\n",
" <td>unknown</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3591</th>\n",
" <td>3591</td>\n",
" <td>313</td>\n",
" <td>Centenary Track Werribee Gorge created by Ambler</td>\n",
" <td>Please note, the route of this walk may not fo...</td>\n",
" <td>Centenary Track sign</td>\n",
" <td>Take the path to Centenary Track, not the Circ...</td>\n",
" <td>-37.659434</td>\n",
" <td>144.360785</td>\n",
" <td>POINT (144.36079 -37.65943)</td>\n",
" <td>945</td>\n",
" <td>...</td>\n",
" <td>Centenary Track sign: Take the path to Centena...</td>\n",
" <td>False</td>\n",
" <td>NaN</td>\n",
" <td>transport</td>\n",
" <td>3.0</td>\n",
" <td>194</td>\n",
" <td>0_footpath_steps_marker_track</td>\n",
" <td>['footpath', 'steps', 'marker', 'track', 'grav...</td>\n",
" <td>['While the car slog away above it peaceful do...</td>\n",
" <td>trail-path-and-canal</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4011</th>\n",
" <td>4011</td>\n",
" <td>355</td>\n",
" <td>Tidal River to Refuge Cove overnight hike crea...</td>\n",
" <td>Parks Victoria states: \"Refuge Cove is stunnin...</td>\n",
" <td>Oberon Bay</td>\n",
" <td>Around the next headland, more beauty awaits. ...</td>\n",
" <td>-39.070746</td>\n",
" <td>146.343341</td>\n",
" <td>POINT (146.34334 -39.07075)</td>\n",
" <td>159</td>\n",
" <td>...</td>\n",
" <td>Bay: Around the next headland, more beauty awa...</td>\n",
" <td>True</td>\n",
" <td>natural bay</td>\n",
" <td>nature</td>\n",
" <td>0.0</td>\n",
" <td>148</td>\n",
" <td>2_beach_bay_sand_tide</td>\n",
" <td>['beach', 'bay', 'sand', 'tide', 'coastal', 'c...</td>\n",
" <td>['Apollo Bay beach: The beach is most sheltere...</td>\n",
" <td>natural landmarks</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4018</th>\n",
" <td>4018</td>\n",
" <td>355</td>\n",
" <td>Tidal River to Refuge Cove overnight hike crea...</td>\n",
" <td>Parks Victoria states: \"Refuge Cove is stunnin...</td>\n",
" <td>Little Waterloo Bay</td>\n",
" <td>Yes, its a gorgeous bay!</td>\n",
" <td>-39.065614</td>\n",
" <td>146.431274</td>\n",
" <td>POINT (146.43127 -39.06561)</td>\n",
" <td>162</td>\n",
" <td>...</td>\n",
" <td>Little Waterloo Bay: Yes, it a gorgeou bay!</td>\n",
" <td>True</td>\n",
" <td>natural bay</td>\n",
" <td>nature</td>\n",
" <td>0.0</td>\n",
" <td>148</td>\n",
" <td>2_beach_bay_sand_tide</td>\n",
" <td>['beach', 'bay', 'sand', 'tide', 'coastal', 'c...</td>\n",
" <td>['Apollo Bay beach: The beach is most sheltere...</td>\n",
" <td>natural landmarks</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4019</th>\n",
" <td>4019</td>\n",
" <td>355</td>\n",
" <td>Tidal River to Refuge Cove overnight hike crea...</td>\n",
" <td>Parks Victoria states: \"Refuge Cove is stunnin...</td>\n",
" <td>Little Waterloo Bay</td>\n",
" <td>At the southern end of the beach is this fresh...</td>\n",
" <td>-39.067547</td>\n",
" <td>146.429923</td>\n",
" <td>POINT (146.42992 -39.06755)</td>\n",
" <td>163</td>\n",
" <td>...</td>\n",
" <td>Little Waterloo Bay: At the southern end of th...</td>\n",
" <td>True</td>\n",
" <td>natural bay</td>\n",
" <td>nature</td>\n",
" <td>0.0</td>\n",
" <td>148</td>\n",
" <td>2_beach_bay_sand_tide</td>\n",
" <td>['beach', 'bay', 'sand', 'tide', 'coastal', 'c...</td>\n",
" <td>['Apollo Bay beach: The beach is most sheltere...</td>\n",
" <td>natural landmarks</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>14 rows × 21 columns</p>\n",
"</div>"
],
"text/plain": [
" index record_id record_title \\\n",
"281 281 19 Tidal River to Squeaky Beach return created by... \n",
"325 325 22 Noosa Heads Coastal Track created by Ambler \n",
"510 510 33 Anderson to Kilcunda created by Embers \n",
"674 674 46 Delights of Albert Park created by dianek \n",
"840 840 60 Lysterfield homesteads & farms created by Ray ... \n",
"2012 2012 165 Sunbury Blind Creek: Killara Heights to Rupert... \n",
"2044 2044 169 Barwon River Walk: Troop Trail created by Heal... \n",
"2183 2183 183 Black Rock Beach to Ricketts Point Marine Sanc... \n",
"2895 2895 248 Gilberts Gully Trail, Marysville created by Ha... \n",
"3131 3131 271 Family walk about Kyneton created by URBLR \n",
"3591 3591 313 Centenary Track Werribee Gorge created by Ambler \n",
"4011 4011 355 Tidal River to Refuge Cove overnight hike crea... \n",
"4018 4018 355 Tidal River to Refuge Cove overnight hike crea... \n",
"4019 4019 355 Tidal River to Refuge Cove overnight hike crea... \n",
"\n",
" record_description \\\n",
"281 This is a great walk. As its name suggests, Sq... \n",
"325 This walk follows the shoreline from the main ... \n",
"510 This walk goes from Anderson and ends at Kilcu... \n",
"674 1. Start at the corner of Bridport and Montagu... \n",
"840 For those accustomed to the lake shore, there ... \n",
"2012 Starting at Phillip Drive it is a downhill rid... \n",
"2044 The Troop Loop is a walking/running circuit ar... \n",
"2183 Start at Black Rock Gardens which is overlooke... \n",
"2895 This walk takes you through a dry mixed-specie... \n",
"3131 Take a fun family walk around Kyneton, passing... \n",
"3591 Please note, the route of this walk may not fo... \n",
"4011 Parks Victoria states: \"Refuge Cove is stunnin... \n",
"4018 Parks Victoria states: \"Refuge Cove is stunnin... \n",
"4019 Parks Victoria states: \"Refuge Cove is stunnin... \n",
"\n",
" poi_title \\\n",
"281 Tidal Overlook \n",
"325 Dolphin Bay \n",
"510 Bass Coast Rail Trail \n",
"674 Station Pier \n",
"840 Lake track \n",
"2012 Sunbury BMX and Skate Park \n",
"2044 Rowing \n",
"2183 Swans and pelicans \n",
"2895 Mt Gordon \n",
"3131 Kyneton \n",
"3591 Centenary Track sign \n",
"4011 Oberon Bay \n",
"4018 Little Waterloo Bay \n",
"4019 Little Waterloo Bay \n",
"\n",
" poi_summary latitude \\\n",
"281 It is worth the short deviation off the track ... -39.032663 \n",
"325 Looking towards Picnic Cove. -26.377527 \n",
"510 Bass Coast Rail Trail -38.534739 \n",
"674 Cross Beaconsfield Pde, head onto the beach, t... -37.846011 \n",
"840 This section of track adjoins a flora & fauna ... -37.962843 \n",
"2012 Just a little detour from the path is the Sunb... -37.567557 \n",
"2044 Walk past the rowing sheds. Lots of action of ... -38.163349 \n",
"2183 There are often swans and pelicans at this spo... -37.981737 \n",
"2895 This trail begins by walking in the direction ... -37.510917 \n",
"3131 Kyneton -37.245227 \n",
"3591 Take the path to Centenary Track, not the Circ... -37.659434 \n",
"4011 Around the next headland, more beauty awaits. ... -39.070746 \n",
"4018 Yes, its a gorgeous bay! -39.065614 \n",
"4019 At the southern end of the beach is this fresh... -39.067547 \n",
"\n",
" longitude geometry Unnamed: 0 ... \\\n",
"281 146.308750 POINT (146.30875 -39.03266) 3999 ... \n",
"325 153.107973 POINT (153.10797 -26.37753) 31 ... \n",
"510 145.461216 POINT (145.46122 -38.53474) 3701 ... \n",
"674 144.945171 POINT (144.94517 -37.84601) 4001 ... \n",
"840 145.304489 POINT (145.30449 -37.96284) 4220 ... \n",
"2012 144.704937 POINT (144.70494 -37.56756) 491 ... \n",
"2044 144.339787 POINT (144.33979 -38.16335) 2352 ... \n",
"2183 145.018185 POINT (145.01818 -37.98174) 273 ... \n",
"2895 145.737827 POINT (145.73783 -37.51092) 3882 ... \n",
"3131 144.448939 POINT (144.44894 -37.24523) 4358 ... \n",
"3591 144.360785 POINT (144.36079 -37.65943) 945 ... \n",
"4011 146.343341 POINT (146.34334 -39.07075) 159 ... \n",
"4018 146.431274 POINT (146.43127 -39.06561) 162 ... \n",
"4019 146.429923 POINT (146.42992 -39.06755) 163 ... \n",
"\n",
" document is_found \\\n",
"281 Tidal Overlook: It is worth the deviation off ... True \n",
"325 Dolphin Bay: Looking to Picnic Cove. True \n",
"510 Rail Trail: Rail Trail True \n",
"674 Station Pier: Cros s Pde, head onto the beach,... False \n",
"840 Lake track: Thi section of track adjoin a flor... True \n",
"2012 BMX and Skate Park: Just a little detmy from t... False \n",
"2044 Rowing: Walk past the rowing sheds. Lot of act... True \n",
"2183 s and pelicans: There are often s and pelican ... False \n",
"2895 Mt Gor: Thi trail begin by walking in the dire... False \n",
"3131 : True \n",
"3591 Centenary Track sign: Take the path to Centena... False \n",
"4011 Bay: Around the next headland, more beauty awa... True \n",
"4018 Little Waterloo Bay: Yes, it a gorgeou bay! True \n",
"4019 Little Waterloo Bay: At the southern end of th... True \n",
"\n",
" class Class Class ID Count \\\n",
"281 natural peak activities 1.0 24 \n",
"325 highway residential nature 0.0 148 \n",
"510 highway cycleway nature 0.0 12 \n",
"674 NaN activities 1.0 24 \n",
"840 highway track activities 1.0 15 \n",
"2012 NaN activities 1.0 33 \n",
"2044 leisure sports_centre activities 1.0 11 \n",
"2183 NaN nature 0.0 153 \n",
"2895 NaN society 2.0 18 \n",
"3131 railway station unknown 4.0 1454 \n",
"3591 NaN transport 3.0 194 \n",
"4011 natural bay nature 0.0 148 \n",
"4018 natural bay nature 0.0 148 \n",
"4019 natural bay nature 0.0 148 \n",
"\n",
" Name \\\n",
"281 39_pier_prince_kiosk_cunn \n",
"325 2_beach_bay_sand_tide \n",
"510 66_oscar_trail_blind_spring \n",
"674 39_pier_prince_kiosk_cunn \n",
"840 58_golf_tractor_course_emmett \n",
"2012 28_skate_bmx_incrbly_bigger \n",
"2044 71_rowing_rower_blackbirds_regattum \n",
"2183 1_bird_duck_birdlife_ducks \n",
"2895 52_aqueduct_proudly_psyche_turning \n",
"3131 -1_reserve_back_track_sign \n",
"3591 0_footpath_steps_marker_track \n",
"4011 2_beach_bay_sand_tide \n",
"4018 2_beach_bay_sand_tide \n",
"4019 2_beach_bay_sand_tide \n",
"\n",
" Representation \\\n",
"281 ['pier', 'prince', 'kiosk', 'cunn', 'highrise'... \n",
"325 ['beach', 'bay', 'sand', 'tide', 'coastal', 'c... \n",
"510 ['oscar', 'trail', 'blind', 'spring', 'creek',... \n",
"674 ['pier', 'prince', 'kiosk', 'cunn', 'highrise'... \n",
"840 ['golf', 'tractor', 'course', 'emmett', 'spine... \n",
"2012 ['skate', 'bmx', 'incrbly', 'bigger', 'mcg', '... \n",
"2044 ['rowing', 'rower', 'blackbirds', 'regattum', ... \n",
"2183 ['bird', 'duck', 'birdlife', 'ducks', 'feng', ... \n",
"2895 ['aqueduct', 'proudly', 'psyche', 'turning', '... \n",
"3131 ['reserve', 'back', 'track', 'sign', 'up', 'af... \n",
"3591 ['footpath', 'steps', 'marker', 'track', 'grav... \n",
"4011 ['beach', 'bay', 'sand', 'tide', 'coastal', 'c... \n",
"4018 ['beach', 'bay', 'sand', 'tide', 'coastal', 'c... \n",
"4019 ['beach', 'bay', 'sand', 'tide', 'coastal', 'c... \n",
"\n",
" Representative_Docs \\\n",
"281 [\"St Kilda Pier: home of the famou Kirby' Kios... \n",
"325 ['Apollo Bay beach: The beach is most sheltere... \n",
"510 ['Oscar Walk: Oscar Walk beside the Bank start... \n",
"674 [\"St Kilda Pier: home of the famou Kirby' Kios... \n",
"840 [\"Golf Club: Walk along the south perimeter of... \n",
"2012 ['Skate Park: There is a skate park here that ... \n",
"2044 ['Rowing: Walk past the rowing sheds. Lot of a... \n",
"2183 ['Black s: Keep an eye out for the birdlife at... \n",
"2895 ['Back on the aqueduct: Thi is the of the main... \n",
"3131 ['Nature at it finest: The path is edged by be... \n",
"3591 ['While the car slog away above it peaceful do... \n",
"4011 ['Apollo Bay beach: The beach is most sheltere... \n",
"4018 ['Apollo Bay beach: The beach is most sheltere... \n",
"4019 ['Apollo Bay beach: The beach is most sheltere... \n",
"\n",
" Subclass \n",
"281 fishing to surfing \n",
"325 natural landmarks \n",
"510 natural landmarks \n",
"674 fishing to surfing \n",
"840 sport complexes \n",
"2012 sport complexes \n",
"2044 fishing to surfing \n",
"2183 flora and funa \n",
"2895 art, history and culture \n",
"3131 unknown \n",
"3591 trail-path-and-canal \n",
"4011 natural landmarks \n",
"4018 natural landmarks \n",
"4019 natural landmarks \n",
"\n",
"[14 rows x 21 columns]"
]
},
"execution_count": 92,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"detailed_df[detailed_df['index'].isin([int(poi_id) for poi_id in osm_markers[osm_markers['distance'] > 1000].sort_values('distance').poi_id])] # mainly natural features!"
]
},
{
"cell_type": "markdown",
"id": "335dadaf-c3a7-4108-b0b1-4ddf94cf6678",
"metadata": {},
"source": [
"### 4.3 Distance of marker from path"
]
},
{
"cell_type": "code",
"execution_count": 93,
"id": "a0d24a56-f686-4c84-a0f7-ea2fe9f1554c",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
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" .dataframe thead th {\n",
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" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>poi_id</th>\n",
" <th>geometry_marker</th>\n",
" <th>geometry_path</th>\n",
" <th>distance</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>0</td>\n",
" <td>POINT (245636.186 5738145.172)</td>\n",
" <td>LINESTRING (245632.041 5738144.822, 246231.151...</td>\n",
" <td>0.000502</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>1</td>\n",
" <td>POINT (246092.200 5738183.760)</td>\n",
" <td>LINESTRING (245632.041 5738144.822, 246231.151...</td>\n",
" <td>0.003862</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>2</td>\n",
" <td>POINT (246329.815 5738200.421)</td>\n",
" <td>LINESTRING (245632.041 5738144.822, 246231.151...</td>\n",
" <td>0.003482</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>3</td>\n",
" <td>POINT (246582.569 5738212.986)</td>\n",
" <td>LINESTRING (245632.041 5738144.822, 246231.151...</td>\n",
" <td>0.004637</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>4</td>\n",
" <td>POINT (246756.480 5738221.628)</td>\n",
" <td>LINESTRING (245632.041 5738144.822, 246231.151...</td>\n",
" <td>0.001621</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4387</th>\n",
" <td>4387</td>\n",
" <td>POINT (328410.136 5830674.908)</td>\n",
" <td>LINESTRING (328546.960 5830470.685, 328535.139...</td>\n",
" <td>0.087915</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4388</th>\n",
" <td>4388</td>\n",
" <td>POINT (328671.456 5831192.229)</td>\n",
" <td>LINESTRING (328546.960 5830470.685, 328535.139...</td>\n",
" <td>0.000430</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4389</th>\n",
" <td>4389</td>\n",
" <td>POINT (328549.043 5830993.562)</td>\n",
" <td>LINESTRING (328546.960 5830470.685, 328535.139...</td>\n",
" <td>0.058850</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4390</th>\n",
" <td>4390</td>\n",
" <td>POINT (328807.083 5830689.442)</td>\n",
" <td>LINESTRING (328546.960 5830470.685, 328535.139...</td>\n",
" <td>0.012724</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4391</th>\n",
" <td>4391</td>\n",
" <td>POINT (328384.383 5830572.385)</td>\n",
" <td>LINESTRING (328546.960 5830470.685, 328535.139...</td>\n",
" <td>0.186699</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>4392 rows × 4 columns</p>\n",
"</div>"
],
"text/plain": [
" poi_id geometry_marker \\\n",
"0 0 POINT (245636.186 5738145.172) \n",
"1 1 POINT (246092.200 5738183.760) \n",
"2 2 POINT (246329.815 5738200.421) \n",
"3 3 POINT (246582.569 5738212.986) \n",
"4 4 POINT (246756.480 5738221.628) \n",
"... ... ... \n",
"4387 4387 POINT (328410.136 5830674.908) \n",
"4388 4388 POINT (328671.456 5831192.229) \n",
"4389 4389 POINT (328549.043 5830993.562) \n",
"4390 4390 POINT (328807.083 5830689.442) \n",
"4391 4391 POINT (328384.383 5830572.385) \n",
"\n",
" geometry_path distance \n",
"0 LINESTRING (245632.041 5738144.822, 246231.151... 0.000502 \n",
"1 LINESTRING (245632.041 5738144.822, 246231.151... 0.003862 \n",
"2 LINESTRING (245632.041 5738144.822, 246231.151... 0.003482 \n",
"3 LINESTRING (245632.041 5738144.822, 246231.151... 0.004637 \n",
"4 LINESTRING (245632.041 5738144.822, 246231.151... 0.001621 \n",
"... ... ... \n",
"4387 LINESTRING (328546.960 5830470.685, 328535.139... 0.087915 \n",
"4388 LINESTRING (328546.960 5830470.685, 328535.139... 0.000430 \n",
"4389 LINESTRING (328546.960 5830470.685, 328535.139... 0.058850 \n",
"4390 LINESTRING (328546.960 5830470.685, 328535.139... 0.012724 \n",
"4391 LINESTRING (328546.960 5830470.685, 328535.139... 0.186699 \n",
"\n",
"[4392 rows x 4 columns]"
]
},
"execution_count": 93,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"marker_paths['distance'] = marker_paths.apply(lambda row: row['geometry_marker'].distance(row['geometry_path']), axis=1)\n",
"marker_paths"
]
},
{
"cell_type": "code",
"execution_count": 94,
"id": "4681b88d-beb3-42b6-9f86-2165503dc573",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='distance', ylabel='Count'>"
]
},
"execution_count": 94,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sns.histplot(data=marker_paths, x=\"distance\", binwidth=30, kde=True)"
]
},
{
"cell_type": "code",
"execution_count": 95,
"id": "e2519ea9-2a2c-4066-9060-46af8bae8f1b",
"metadata": {},
"outputs": [
{
"data": {
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" <th>geometry_marker</th>\n",
" <th>geometry_path</th>\n",
" <th>distance</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
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],
"text/plain": [
" poi_id geometry_marker \\\n",
"3951 3951 POINT (249866.085 5858031.586) \n",
"955 955 POINT (320429.093 5813224.583) \n",
"954 954 POINT (320547.162 5813273.059) \n",
"956 956 POINT (320332.083 5813185.601) \n",
"1180 1180 POINT (439802.838 5776010.911) \n",
"1269 1269 POINT (-415429.738 5966302.530) \n",
"3261 3261 POINT (342128.209 5800029.990) \n",
"1266 1266 POINT (-428695.398 5960108.107) \n",
"\n",
" geometry_path distance \n",
"3951 LINESTRING (249726.474 5858311.456, 249680.418... 312.759216 \n",
"955 LINESTRING (320314.826 5813683.508, 320357.588... 410.253319 \n",
"954 LINESTRING (320314.826 5813683.508, 320357.588... 413.772280 \n",
"956 LINESTRING (320314.826 5813683.508, 320357.588... 420.368948 \n",
"1180 LINESTRING (435762.728 5774293.298, 435851.985... 440.146798 \n",
"1269 LINESTRING (-427139.549 5972355.321, -427138.3... 470.602660 \n",
"3261 LINESTRING (344101.899 5799812.314, 344022.195... 1356.506430 \n",
"1266 LINESTRING (-427139.549 5972355.321, -427138.3... 3852.527216 "
]
},
"execution_count": 95,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"marker_paths[marker_paths['distance'] > 300].sort_values('distance') # could be an issue of polygon vs. polyline?"
]
},
{
"cell_type": "code",
"execution_count": 96,
"id": "e6d3e370-7a8e-4607-b05c-acdc68581ab1",
"metadata": {},
"outputs": [
{
"data": {
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" <td>The Argus - corner Elizabeth and LaTrobe Street</td>\n",
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" <td>False</td>\n",
" <td>NaN</td>\n",
" <td>society</td>\n",
" <td>2.0</td>\n",
" <td>85</td>\n",
" <td>8_cottage_building_residence_terrace</td>\n",
" <td>['cottage', 'building', 'residence', 'terrace'...</td>\n",
" <td>[\"Bowring' Store, corner Avenue and th Street ...</td>\n",
" <td>art, history and culture</td>\n",
" </tr>\n",
" <tr>\n",
" <th>955</th>\n",
" <td>955</td>\n",
" <td>69</td>\n",
" <td>Queen Victoria Market Heritage Trail created b...</td>\n",
" <td>The Queen Victoria Market, established in 1878...</td>\n",
" <td>The Welsh Church - 320 LaTrobe Street</td>\n",
" <td>The first free dispensary for women in 1896 wa...</td>\n",
" <td>-37.810728</td>\n",
" <td>144.960051</td>\n",
" <td>POINT (144.96005 -37.81073)</td>\n",
" <td>3683</td>\n",
" <td>...</td>\n",
" <td>The Welsh Church - LaT Street: The first free ...</td>\n",
" <td>False</td>\n",
" <td>NaN</td>\n",
" <td>society</td>\n",
" <td>2.0</td>\n",
" <td>20</td>\n",
" <td>47_women_hospital_rance_wctu</td>\n",
" <td>['women', 'hospital', 'rance', 'wctu', 'christ...</td>\n",
" <td>['WCTU drinking : The wa erected in by the Wom...</td>\n",
" <td>human made landmarks</td>\n",
" </tr>\n",
" <tr>\n",
" <th>956</th>\n",
" <td>956</td>\n",
" <td>69</td>\n",
" <td>Queen Victoria Market Heritage Trail created b...</td>\n",
" <td>The Queen Victoria Market, established in 1878...</td>\n",
" <td>Republic Tower - corner Queen and LaTrobe Street</td>\n",
" <td>Public art where you would normally expect a b...</td>\n",
" <td>-37.811060</td>\n",
" <td>144.958940</td>\n",
" <td>POINT (144.95894 -37.81106)</td>\n",
" <td>1200</td>\n",
" <td>...</td>\n",
" <td>Republic Tower - corner Queen and LaT Street: ...</td>\n",
" <td>False</td>\n",
" <td>NaN</td>\n",
" <td>society</td>\n",
" <td>2.0</td>\n",
" <td>65</td>\n",
" <td>11_theatre_art_exhibition_gallery</td>\n",
" <td>['theatre', 'art', 'exhibition', 'gallery', 'c...</td>\n",
" <td>['Museum: The museum ha eight galleries, inclu...</td>\n",
" <td>human made landmarks</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1180</th>\n",
" <td>1180</td>\n",
" <td>89</td>\n",
" <td>Moe - Yallourn Rail Trail created by Park Tracks</td>\n",
" <td>Following the route of the old rail branch lin...</td>\n",
" <td>Lake Narraccan Jetty</td>\n",
" <td>The detour at Sullivans Road to Lake Narraccan...</td>\n",
" <td>-38.161789</td>\n",
" <td>146.312854</td>\n",
" <td>POINT (146.31285 -38.16179)</td>\n",
" <td>526</td>\n",
" <td>...</td>\n",
" <td>Lake Jetty: The detmy at Sullivan Road to Lake...</td>\n",
" <td>False</td>\n",
" <td>NaN</td>\n",
" <td>activities</td>\n",
" <td>1.0</td>\n",
" <td>27</td>\n",
" <td>35_fishing_trout_fish_try</td>\n",
" <td>['fishing', 'trout', 'fish', 'try', 'platform'...</td>\n",
" <td>['Les Stone Park Wetlands: A great spot to try...</td>\n",
" <td>fishing to surfing</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1266</th>\n",
" <td>1266</td>\n",
" <td>98</td>\n",
" <td>Kangaroo Island Wilderness Trail, South Austra...</td>\n",
" <td>This multi-day walk which only opened on 1 Oct...</td>\n",
" <td>Cape Du Couedic</td>\n",
" <td>Location of the lightstation and Admirals Arch...</td>\n",
" <td>-36.058814</td>\n",
" <td>136.705112</td>\n",
" <td>POINT (136.70511 -36.05881)</td>\n",
" <td>4138</td>\n",
" <td>...</td>\n",
" <td>Cape Du Couc: Location of the station and Admi...</td>\n",
" <td>True</td>\n",
" <td>highway secondary</td>\n",
" <td>transport</td>\n",
" <td>3.0</td>\n",
" <td>17</td>\n",
" <td>53_station_railway_du_travelled</td>\n",
" <td>['station', 'railway', 'du', 'travelled', 'cou...</td>\n",
" <td>['Maryugh Railway Station, Station Street : Ma...</td>\n",
" <td>lines and stations</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1269</th>\n",
" <td>1269</td>\n",
" <td>98</td>\n",
" <td>Kangaroo Island Wilderness Trail, South Austra...</td>\n",
" <td>This multi-day walk which only opened on 1 Oct...</td>\n",
" <td>Hanson Bay</td>\n",
" <td>A killer seascape.</td>\n",
" <td>-36.016338</td>\n",
" <td>136.857204</td>\n",
" <td>POINT (136.85720 -36.01634)</td>\n",
" <td>66</td>\n",
" <td>...</td>\n",
" <td>Bay: A killer seascape.</td>\n",
" <td>True</td>\n",
" <td>natural beach</td>\n",
" <td>nature</td>\n",
" <td>0.0</td>\n",
" <td>148</td>\n",
" <td>2_beach_bay_sand_tide</td>\n",
" <td>['beach', 'bay', 'sand', 'tide', 'coastal', 'c...</td>\n",
" <td>['Apollo Bay beach: The beach is most sheltere...</td>\n",
" <td>natural landmarks</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3261</th>\n",
" <td>3261</td>\n",
" <td>283</td>\n",
" <td>Kilcatten Park Rowville Vic 3178 created by Ra...</td>\n",
" <td>Rowville today is densely settled, but this wa...</td>\n",
" <td>VFL Park</td>\n",
" <td>This arena was to be the home of Australian Ru...</td>\n",
" <td>-37.933604</td>\n",
" <td>145.203552</td>\n",
" <td>POINT (145.20355 -37.93360)</td>\n",
" <td>3636</td>\n",
" <td>...</td>\n",
" <td>VFL Park: Thi arena wa to be the home of ian R...</td>\n",
" <td>False</td>\n",
" <td>NaN</td>\n",
" <td>activities</td>\n",
" <td>1.0</td>\n",
" <td>16</td>\n",
" <td>57_bowl_bowling_club_bocce</td>\n",
" <td>['bowl', 'bowling', 'club', 'bocce', 'cricket'...</td>\n",
" <td>['Etihad Stadium: A multi-purpose venue which ...</td>\n",
" <td>sport complexes</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3951</th>\n",
" <td>3951</td>\n",
" <td>348</td>\n",
" <td>Wombat Creek created by Ray Peace</td>\n",
" <td>This is a relatively easy, but little known, w...</td>\n",
" <td>Wombat Creek reservoir</td>\n",
" <td>This reservoir is the water supply for Daylesf...</td>\n",
" <td>-37.390754</td>\n",
" <td>144.174528</td>\n",
" <td>POINT (144.17453 -37.39075)</td>\n",
" <td>3251</td>\n",
" <td>...</td>\n",
" <td>Creek : Thi is the water supply for . The picn...</td>\n",
" <td>False</td>\n",
" <td>NaN</td>\n",
" <td>activities</td>\n",
" <td>1.0</td>\n",
" <td>46</td>\n",
" <td>18_seat_seating_rest_seats</td>\n",
" <td>['seat', 'seating', 'rest', 'seats', 'bench', ...</td>\n",
" <td>[\"Instion chairs: Take a seat and be inspired,...</td>\n",
" <td>picnic</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>8 rows × 21 columns</p>\n",
"</div>"
],
"text/plain": [
" index record_id record_title \\\n",
"954 954 69 Queen Victoria Market Heritage Trail created b... \n",
"955 955 69 Queen Victoria Market Heritage Trail created b... \n",
"956 956 69 Queen Victoria Market Heritage Trail created b... \n",
"1180 1180 89 Moe - Yallourn Rail Trail created by Park Tracks \n",
"1266 1266 98 Kangaroo Island Wilderness Trail, South Austra... \n",
"1269 1269 98 Kangaroo Island Wilderness Trail, South Austra... \n",
"3261 3261 283 Kilcatten Park Rowville Vic 3178 created by Ra... \n",
"3951 3951 348 Wombat Creek created by Ray Peace \n",
"\n",
" record_description \\\n",
"954 The Queen Victoria Market, established in 1878... \n",
"955 The Queen Victoria Market, established in 1878... \n",
"956 The Queen Victoria Market, established in 1878... \n",
"1180 Following the route of the old rail branch lin... \n",
"1266 This multi-day walk which only opened on 1 Oct... \n",
"1269 This multi-day walk which only opened on 1 Oct... \n",
"3261 Rowville today is densely settled, but this wa... \n",
"3951 This is a relatively easy, but little known, w... \n",
"\n",
" poi_title \\\n",
"954 The Argus - corner Elizabeth and LaTrobe Street \n",
"955 The Welsh Church - 320 LaTrobe Street \n",
"956 Republic Tower - corner Queen and LaTrobe Street \n",
"1180 Lake Narraccan Jetty \n",
"1266 Cape Du Couedic \n",
"1269 Hanson Bay \n",
"3261 VFL Park \n",
"3951 Wombat Creek reservoir \n",
"\n",
" poi_summary latitude \\\n",
"954 The building housed the Argus newspaper for 30... -37.810314 \n",
"955 The first free dispensary for women in 1896 wa... -37.810728 \n",
"956 Public art where you would normally expect a b... -37.811060 \n",
"1180 The detour at Sullivans Road to Lake Narraccan... -38.161789 \n",
"1266 Location of the lightstation and Admirals Arch... -36.058814 \n",
"1269 A killer seascape. -36.016338 \n",
"3261 This arena was to be the home of Australian Ru... -37.933604 \n",
"3951 This reservoir is the water supply for Daylesf... -37.390754 \n",
"\n",
" longitude geometry Unnamed: 0 ... \\\n",
"954 144.961404 POINT (144.96140 -37.81031) 664 ... \n",
"955 144.960051 POINT (144.96005 -37.81073) 3683 ... \n",
"956 144.958940 POINT (144.95894 -37.81106) 1200 ... \n",
"1180 146.312854 POINT (146.31285 -38.16179) 526 ... \n",
"1266 136.705112 POINT (136.70511 -36.05881) 4138 ... \n",
"1269 136.857204 POINT (136.85720 -36.01634) 66 ... \n",
"3261 145.203552 POINT (145.20355 -37.93360) 3636 ... \n",
"3951 144.174528 POINT (144.17453 -37.39075) 3251 ... \n",
"\n",
" document is_found \\\n",
"954 The Argu - corner and LaT Street: The building... False \n",
"955 The Welsh Church - LaT Street: The first free ... False \n",
"956 Republic Tower - corner Queen and LaT Street: ... False \n",
"1180 Lake Jetty: The detmy at Sullivan Road to Lake... False \n",
"1266 Cape Du Couc: Location of the station and Admi... True \n",
"1269 Bay: A killer seascape. True \n",
"3261 VFL Park: Thi arena wa to be the home of ian R... False \n",
"3951 Creek : Thi is the water supply for . The picn... False \n",
"\n",
" class Class Class ID Count \\\n",
"954 NaN society 2.0 85 \n",
"955 NaN society 2.0 20 \n",
"956 NaN society 2.0 65 \n",
"1180 NaN activities 1.0 27 \n",
"1266 highway secondary transport 3.0 17 \n",
"1269 natural beach nature 0.0 148 \n",
"3261 NaN activities 1.0 16 \n",
"3951 NaN activities 1.0 46 \n",
"\n",
" Name \\\n",
"954 8_cottage_building_residence_terrace \n",
"955 47_women_hospital_rance_wctu \n",
"956 11_theatre_art_exhibition_gallery \n",
"1180 35_fishing_trout_fish_try \n",
"1266 53_station_railway_du_travelled \n",
"1269 2_beach_bay_sand_tide \n",
"3261 57_bowl_bowling_club_bocce \n",
"3951 18_seat_seating_rest_seats \n",
"\n",
" Representation \\\n",
"954 ['cottage', 'building', 'residence', 'terrace'... \n",
"955 ['women', 'hospital', 'rance', 'wctu', 'christ... \n",
"956 ['theatre', 'art', 'exhibition', 'gallery', 'c... \n",
"1180 ['fishing', 'trout', 'fish', 'try', 'platform'... \n",
"1266 ['station', 'railway', 'du', 'travelled', 'cou... \n",
"1269 ['beach', 'bay', 'sand', 'tide', 'coastal', 'c... \n",
"3261 ['bowl', 'bowling', 'club', 'bocce', 'cricket'... \n",
"3951 ['seat', 'seating', 'rest', 'seats', 'bench', ... \n",
"\n",
" Representative_Docs \\\n",
"954 [\"Bowring' Store, corner Avenue and th Street ... \n",
"955 ['WCTU drinking : The wa erected in by the Wom... \n",
"956 ['Museum: The museum ha eight galleries, inclu... \n",
"1180 ['Les Stone Park Wetlands: A great spot to try... \n",
"1266 ['Maryugh Railway Station, Station Street : Ma... \n",
"1269 ['Apollo Bay beach: The beach is most sheltere... \n",
"3261 ['Etihad Stadium: A multi-purpose venue which ... \n",
"3951 [\"Instion chairs: Take a seat and be inspired,... \n",
"\n",
" Subclass \n",
"954 art, history and culture \n",
"955 human made landmarks \n",
"956 human made landmarks \n",
"1180 fishing to surfing \n",
"1266 lines and stations \n",
"1269 natural landmarks \n",
"3261 sport complexes \n",
"3951 picnic \n",
"\n",
"[8 rows x 21 columns]"
]
},
"execution_count": 96,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"detailed_df[detailed_df['index'].isin([int(poi_id) for poi_id in marker_paths[marker_paths['distance'] > 300].poi_id])]"
]
},
{
"cell_type": "markdown",
"id": "d7469d0c-1484-4c47-81d7-297e31f53935",
"metadata": {},
"source": [
"## 5. POIs Selected vs. Nearby"
]
},
{
"cell_type": "code",
"execution_count": 97,
"id": "567895f1-ea69-4e9b-9528-b5207266516b",
"metadata": {},
"outputs": [],
"source": [
"# nearby POIs: get all, get_osm_pois_nearby([pois of a walk]) then pick unique ones\n",
"# get information on a POI of a walk get_all_key_values(poi)\n",
"# walk and pois"
]
},
{
"cell_type": "code",
"execution_count": 98,
"id": "8d10bc1f-8bc3-4b03-a432-18dda6433ba5",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>walk_id</th>\n",
" <th>poi_id</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>1</td>\n",
" <td>3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>1</td>\n",
" <td>4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4387</th>\n",
" <td>386</td>\n",
" <td>4387</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4388</th>\n",
" <td>386</td>\n",
" <td>4388</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4389</th>\n",
" <td>386</td>\n",
" <td>4389</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4390</th>\n",
" <td>386</td>\n",
" <td>4390</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4391</th>\n",
" <td>386</td>\n",
" <td>4391</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>4392 rows × 2 columns</p>\n",
"</div>"
],
"text/plain": [
" walk_id poi_id\n",
"0 1 0\n",
"1 1 1\n",
"2 1 2\n",
"3 1 3\n",
"4 1 4\n",
"... ... ...\n",
"4387 386 4387\n",
"4388 386 4388\n",
"4389 386 4389\n",
"4390 386 4390\n",
"4391 386 4391\n",
"\n",
"[4392 rows x 2 columns]"
]
},
"execution_count": 98,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"walk_pois = detailed_df[['record_id', 'index']]\n",
"walk_pois.columns = ['walk_id', 'poi_id']\n",
"walk_pois"
]
},
{
"cell_type": "code",
"execution_count": 99,
"id": "9c7981fe-cda0-4542-9df8-f4e540397795",
"metadata": {},
"outputs": [],
"source": [
"def get_walk_pois_description(walk_id):\n",
" pois = [str(p) for p in list(walk_pois[walk_pois['walk_id'] == walk_id]['poi_id'])]\n",
" return {p:get_all_key_values(p) for p in pois}\n",
"\n",
"ignore_cols = ['element_type', 'osmid', 'geometry', 'nodes', 'ways', 'fixme']\n",
"\n",
"all_poi_matched = []\n",
"for p in list(walk_pois['poi_id']):\n",
" if str(p) in annotations.keys():\n",
" all_poi_matched.extend(annotations[str(p)])\n",
"\n",
"def get_walk_nearby_pois_description(walk_id):\n",
" pois = [str(p) for p in list(walk_pois[walk_pois['walk_id'] == walk_id]['poi_id'])]\n",
"\n",
" raw_nearby_pois = get_osm_pois_nearby(pois)\n",
" all_results = {}\n",
" for poi_key, raw_nearby_poi_list in raw_nearby_pois.items():\n",
" info_list = raw_nearby_poi_list.to_dict(orient='records')\n",
" for info in info_list:\n",
" info_key = str(info['element_type']) + ':' + str(info['osmid'])\n",
" if info_key not in all_poi_matched:\n",
" tags = [k+' '+v for k,v in info.items() if 'name' not in k and 'ref' not in k and 'source' not in k and k not in ignore_cols and v.lower() not in ['nan', 'none', 'null'] and v is not None and len(v) > 0]\n",
" all_results[info_key] = ' '.join(tags)\n",
" return all_results"
]
},
{
"cell_type": "code",
"execution_count": 100,
"id": "0f7b36ce-cb8c-4de1-86ff-17f4e442739d",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'160': 'source bing source:geometry Esri World Imagery waterway stream',\n",
" '161': 'access yes bicycle yes foot yes highway footway horse yes motor_vehicle no sidewalk none surface dirt',\n",
" '162': ''}"
]
},
"execution_count": 100,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"get_walk_pois_description(10)"
]
},
{
"cell_type": "code",
"execution_count": 101,
"id": "aea493c7-5e11-4bac-b404-ef539fad4bf1",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 41.42it/s]\n"
]
},
{
"data": {
"text/plain": [
"{'node:1918054390': 'tourism viewpoint',\n",
" 'node:3911734368': 'waterway waterfall',\n",
" 'way:181376038': 'access yes bicycle yes foot yes highway footway horse yes motor_vehicle no surface dirt',\n",
" 'way:553347865': 'access yes bicycle yes foot yes highway footway horse yes motor_vehicle no surface dirt',\n",
" 'way:553347867': 'access yes bicycle yes foot yes highway footway horse yes motor_vehicle no surface dirt',\n",
" 'relation:11692961': 'admin_level 9 boundary administrative postal_code 3862 type boundary',\n",
" 'relation:11693059': 'admin_level 9 boundary administrative type boundary',\n",
" 'way:740156404': 'waterway stream',\n",
" 'relation:11692962': 'admin_level 9 boundary administrative postal_code 3862 type boundary'}"
]
},
"execution_count": 101,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"get_walk_nearby_pois_description(10)"
]
},
{
"cell_type": "code",
"execution_count": 102,
"id": "b75def02-3e34-46fd-8815-47170e1e9ed4",
"metadata": {},
"outputs": [],
"source": [
"%%capture\n",
"import os\n",
"\n",
"selecteds = {}\n",
"ignored = {}\n",
"\n",
"if os.path.isfile('outputs/tmp/selecteds.json'):\n",
" with open('outputs/tmp/selecteds.json', encoding='utf-8') as fp:\n",
" selecteds = json.load(fp)\n",
"\n",
" with open('outputs/tmp/ignored.json', encoding='utf-8') as fp:\n",
" ignored = json.load(fp)\n",
"else:\n",
" for w_id in list(walk_pois['walk_id'].unique()):\n",
" logger.info(f'walk id: {w_id}')\n",
" selecteds = selecteds | get_walk_pois_description(w_id)\n",
" ignored = ignored | get_walk_nearby_pois_description(w_id)\n",
" with open('outputs/tmp/selecteds.json', 'w', encoding='utf-8') as fp:\n",
" json.dump(selecteds, fp)\n",
"\n",
" with open('outputs/tmp/ignored.json', 'w', encoding='utf-8') as fp:\n",
" json.dump(ignored, fp)"
]
},
{
"cell_type": "code",
"execution_count": 103,
"id": "eb676c78-b91e-4411-8643-a594a340af72",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"#selected: 2367 out of 4392 - #nearby: 183906 out of 184070\n"
]
}
],
"source": [
"selected_filtered = [v for v in selecteds.values() if len(v) > 10]\n",
"ignored_filtered = [v for v in ignored.values() if len(v) > 10]\n",
"\n",
"print(f'#selected: {len(selected_filtered)} out of {len(selecteds)} - #nearby: {len(ignored_filtered)} out of {len(ignored)}')"
]
},
{
"cell_type": "code",
"execution_count": 104,
"id": "80aeb69d-aee5-41a0-8e33-4a65e53776e4",
"metadata": {},
"outputs": [],
"source": [
"X = selected_filtered + ignored_filtered\n",
"y = [1 for s in selected_filtered] + [0 for i in ignored_filtered]"
]
},
{
"cell_type": "code",
"execution_count": 105,
"id": "e00ad755-2fd1-4852-811a-4a0bdee14e23",
"metadata": {},
"outputs": [],
"source": [
"from sklearn.feature_extraction.text import TfidfVectorizer\n",
"from sklearn.model_selection import train_test_split\n",
"\n",
"data_train, data_test, target_train, target_test = train_test_split(X, y, test_size=0.1, random_state=432, stratify=y)\n",
"\n",
"vectorizer = TfidfVectorizer(sublinear_tf=True, max_df=0.5, min_df=5, stop_words=\"english\")\n",
"X_train = vectorizer.fit_transform(data_train)\n",
"X_test = vectorizer.transform(data_test)"
]
},
{
"cell_type": "code",
"execution_count": 106,
"id": "86ad6ae0-471b-4b06-98d5-b9a3e010e504",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array(['00', '000', '002', ..., 'zone40', 'zone50', 'zoo'], dtype=object)"
]
},
"execution_count": 106,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"feature_names = vectorizer.get_feature_names_out()\n",
"feature_names"
]
},
{
"cell_type": "code",
"execution_count": 108,
"id": "9122fa6d-69ef-4a4a-9060-7921ee946270",
"metadata": {},
"outputs": [],
"source": [
"from imblearn.pipeline import Pipeline\n",
"from imblearn.over_sampling import SMOTE\n",
"\n",
"sm = SMOTE(random_state=432)\n",
"X_res, y_res = sm.fit_resample(X_train, target_train)"
]
},
{
"cell_type": "code",
"execution_count": 109,
"id": "2b06e60e-222f-437b-a802-c25b6752cdf9",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"['estimator', 'fit_time', 'score_time', 'test_score']"
]
},
"execution_count": 109,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# from sklearn.linear_model import RidgeClassifier\n",
"# from sklearn.ensemble import RandomForestClassifier\n",
"from sklearn.model_selection import cross_validate\n",
"\n",
"clf = RidgeClassifier(tol=1e-2, solver=\"sparse_cg\")\n",
"# clf = RandomForestClassifier()\n",
"cv_results = cross_validate(clf, X_res, y_res, cv=10, return_estimator=True)\n",
"\n",
"sorted(cv_results.keys())"
]
},
{
"cell_type": "code",
"execution_count": 110,
"id": "9813733f-573f-4972-b60c-92e3270a1419",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array([0.91393529, 0.91145818, 0.91387488, 0.91281757, 0.91345195,\n",
" 0.91453947, 0.91441863, 0.91260611, 0.91348216, 0.91287799])"
]
},
"execution_count": 110,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"clf = cv_results['estimator'][cv_results['test_score'].argmax()]\n",
"cv_results['test_score']"
]
},
{
"cell_type": "code",
"execution_count": 111,
"id": "8c5c6b33-d921-416a-b4b7-656e54d77e49",
"metadata": {},
"outputs": [],
"source": [
"pred = clf.predict(X_test)"
]
},
{
"cell_type": "code",
"execution_count": 112,
"id": "74a4bbb1-78be-43b9-9d80-5e52bb9016e4",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[Text(0, 0, 'not selected'), Text(0, 1, 'selected')]"
]
},
"execution_count": 112,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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5YYe1C31w5rg9LCwF+j11HS8lXYGdgw4AkP6ZK5b8rXWDOX524iSc3WsNedlEDerS9Tc88/wv6NDxOtzcq/DmnFAc3O8jHd+xb2uD561d3RlbNncEAHj5lGHCpJPoHPRfWFvrkJXpidUruuJ6iW2986ystVi2eh8e9VNjctxAnD/rfF+ui4yHzgALKuSe/7BjcddICoUCW7duxciRI5s7lXqMOTdTUFVhgfadKxHx3DW8OaFdveNXLthg6kg/DHnuv4idXggHJy0u/WILG1v9eYGhY3/DCzMKpc9KW530z/8ttMJrzz2K/tHX8crCy6gos8CH8x7Be4mtMTflAoC6YrDnwFK9Md9LbI0ajQULO3pgbO1qkXdWhZ07WuP1tzLrHR/79FC9zz1Dr+LVmUfx475HAABK21osfO8Azp9zwuy/9QMAxL6Yg/mLMjD1r/0hbpmOi3v5FK791xaP+un/hYpMlw4K6GTeMyf3/IfdQ1/cJSUlYdu2bcjOzm7uVJqEBdnDo9eTN9DryRu3PZ76tjcee7IUE+YWSPu821TXi1PaCbh6NFyEHdqlgpWVwOTky7D43184Jyf/ikkR/vg1zwaPtKuG0k5Aaff7+df/a4njP7bA35bk3+OVETXdkUNeOHLI67bHS67pd9969y3AiWMtUVjgAAAI7PJfeHiVY/KEgaissAYALHu7Bz7/+mt061GM7CwP6dyeoYUI7nUVC+eGolfvq/fhaohMk3n3LYlk0umAzN1OeKS9Bn9/vj1GB3VGwjA/HPhGVS92zxcu+FPnLogf4I+PFvigouz3P341GgWsrIVU2AGAzf86e6cyW9w6FABg1/+5Qmkn8Piw6wa9JiJDcXapQq+wQqTvaCPts7bRAUKBmprf/2OvrraEVgt0Dvqv3rkJ049hycKe0GgsH2je1Lxuvn5M7mbOmrW4GzBgABISEjBz5ky4urrCy8sLSUlJejGXLl3CiBEj0KJFCzg5OWH06NG4erXub3CpqalYsGABjh8/DoVCAYVCgdTU1AZ/1t69e/HYY4/BwcEBzs7O6Nu3Ly5e/P1+p+3btyMkJAS2trZo3749FixYgNra2091/frrrxgzZgxcXFzg5uaGESNG4MKFC3oxH3/8MTp37gylUglvb29MnjwZANC2bVsAwNNPPw2FQiF9bkwev/zyC5544gnY2toiMDAQO3fuvMu3TPfT9d+sUFluic9WeaDnwBtY9Ol59B2ixhsT2uLEQQcpbuCoa3jtgwt4d8tZjE28iv07VHgj7vcp3m79ylBSbI3/+6AlaqoVuHHdEuve9gYAXCtquMH+7WZXDHy6BEo7M18WRkYrfMglVFZY4cfvf78n7+dTrqiqssSLL52CUlkLpW0t4v56EpaWgItb1f+iBKbOPoodX7XDL7kuzZM8NZub99zJ3cxZs0/Lrl+/HlOnTsWhQ4dw8OBBjB8/Hn379sXgwYMhhMDIkSPh4OCAffv2oba2FpMmTcKYMWOwd+9ejBkzBidPnkRaWhp27doFAFCp6ndMamtrMXLkSMTHx+PTTz9FdXU1MjMzoVDUVfbffvst/vznP+P999/H448/jnPnzmHixIkAgPnz59cbr6KiAgMHDsTjjz+O77//HlZWVnjrrbcwZMgQnDhxAjY2Nli9ejWmTp2Kt99+G0OHDoVarcaPP/4IADh8+DA8PDywbt06DBkyBJaWlo3KQ6fTYdSoUXB3d0dGRgZKS0uRmJh4x+9Xo9FAo9FIn0tLS+8QTU0l/nfbXFhkKUZNLAYAPNqlEqePOODrf7mja1g5AOCpsdekc9p2qsIj7TWYPMQfv5ywg1/XSrT1r8L05Rfx0YJH8PEiH1haCox48Te4tKzR6+bddPqIPS6dscPM9y/d92skuleDh17Enl2+qKn+vfNWqlYief5jmDz1OKKfOQehU2Dfd63wS64zdLq6/ydHP3Me9vY1+Hyjf3OlTvRQa/birmvXrlIB5efnh1WrVmH37t0YPHgwdu3ahRMnTiAvLw++vr4AgA0bNqBz5844fPgwevXqhRYtWsDKygpeXre/B6S0tBRqtRpRUVF49NFHAQABAQHS8YULF+K1117DuHHjAADt27fHm2++iZkzZzZY3G3evBkWFhb45z//KRWI69atg7OzM/bu3YuIiAi89dZbmDZtGl599VXpvF69egEAWrZsCQBwdnbWy/tueezatQs5OTm4cOECWrVqBQBITk7G0KH6NzD/0aJFi7BgwYLbHid5nFy1sLQSaNOxSm+/r18VTmU63OYsoENQJaysdfg1Twm/rpUAgCdHXceTo66jpNgKtvY6KBTAFx+1hFdrTb3z0za54dHOFdK5RMamc9ff4NumDG8veKzesWNHPBEXEwEnlQZarQLlZTb45IsduFpQt+iiW3Ax/AOv4cudX+qdt2LNXuzZ1QpLF/V8INdAzUMHA7xblgsqmlfXrl31Pnt7e6OoqAgAkJOTA19fX6mwA4DAwEA4OzsjJydHKpbuxtXVFePHj0dkZCQGDx6M8PBwjB49Gt7eddNeWVlZOHz4MBYuXCido9VqUVVVhYqKCtjb2+uNl5WVhbNnz8LR0VFvf1VVFc6dO4eioiJcuXIFgwYNavwX0Yg8cnJy0Lp1a6mwA4CwsLA7jjl79mxMnTpV+lxaWqr3fZI81jYCHbtV4PI5pd7+X88rpcegNORiri1qayzg5lk/xqVl3TT8t5+6wlqpQ48nyvSOV5Zb4PvtzvjL7IJ65xIZi4inLuKXn52Rd67+bMpNpeq6Pzfdgovh7KJBxo91/0/+8P2u+NfaQCnO1a0SC5ccwNsLeuHnHNf7mzg1O2GA1bKCxV3zsra21vusUCig09XNdQkhpM7YH91u/52sW7cOCQkJSEtLw2effYbXX38dO3fuRO/evaHT6bBgwQKMGjWq3nm2tvWfu6TT6RASEoKNGzfWO9ayZUtYNDSP1gh3y0OI+vdW3e17UCqVUCqVd4yhO6sst8CVvN+/w8J8G5w7aQdH51p4tKrBnyYVIfnlNujSuwzd+pThyB4nZOxU4d1/nwVQ96iU775wwWODSuHkqsWlM0p8tOARdOhSgcBe5dK4X37sjsCe5bBz0OHo947455s+ePHvV9BCpdXLZ9+XztBqFXhyVMmD+QKI/sDWrhY+j/z+Fw5P7wq073AdN0ptUFxU9xdhO/saPD7gV/zzg6AGxxg89CIuXXSE+roNAjpfw0tTTmDb/3XAr/l1f2G+Oc5NlZV107oFVxzw32K7+3FZRCal2Yu7OwkMDMSlS5eQn58vdZtOnz4NtVotTava2NhAq9XeaRhJcHAwgoODMXv2bISFhWHTpk3o3bs3evTogdzcXHTo0KFR4/To0QOfffYZPDw84OTk1GBM27ZtsXv3bgwcOLDB49bW1vXyvlseN7+PK1euwMen7gblgwcPNipnundnjttj5rO//ztZk1Q3dTR49DVMX34JfYeqkfD2ZWxe5YnVc1uhVXsN5qbkoUtoXeFmZS2Qvd8R29a2RFW5Bdx9ahA6qBRjpxbC8g+LAHOz7bFhiReqyi3QqoMGCe/kI/zZ+gVc2qdu6Dv0OhydG/ffPZEh+fmXYPGK/dLniZN/AgDs/KY1lr0dAgDoP+gyoAD27m7V4BiP+N7AuPhTcHSqRlGhPT77xB9bP2/c/3/J9OmEAaZlzXy1rFEXd+Hh4ejatSvGjh2L5cuXSwsq+vfvj5496+65aNu2LfLy8pCdnY1WrVrB0dGxXqcqLy8PH330EaKjo+Hj44Pc3FycOXMGL7zwAgBg3rx5iIqKgq+vL/70pz/BwsICJ06cwE8//YS33nqrXl5jx47Fu+++ixEjRuCNN95Aq1atcOnSJXzxxReYMWMGWrVqhaSkJLz88svw8PDA0KFDcePGDfz444+YMmWKlPfu3bvRt29fKJVKuLi43DWP8PBw+Pv744UXXsCSJUtQWlqKOXPm3Od/C9StTxm+vZJ9x5jI568h8vlrDR7zeKQG731x9q4/p7GLI5Zv/6VRcUT3w0/ZLfFU/6fvGJO2vR3Sttd/4PdNqR91QepHXRr9M4sKHe76M8l08A0V8hn11SsUCmzbtg0uLi544oknEB4ejvbt2+Ozzz6TYp555hkMGTIEAwcORMuWLfHpp5/WG8fe3h4///wznnnmGXTs2BETJ07E5MmT8dJLLwEAIiMj8Z///Ac7d+5Er1690Lt3byxduhRt2rSpN9bN8b7//nu0bt0ao0aNQkBAAF588UVUVlZKnbxx48Zh+fLl+OCDD9C5c2dERUXhl19+/6W8ZMkS7Ny5E76+vggODm5UHhYWFti6dSs0Gg0ee+wxTJgwQe/+PCIiIiKFaOhGLjJZpaWlUKlUKDnTHk6ORl3bE90XT/Wvf08rkbmo1Wqw+9wKqNXq295W1Fxu/n4akf4irB1sZI1VU16NLyM+bvR1fv/993j33XeRlZWFgoICvTdI1dTU4PXXX8eOHTtw/vx5qFQqhIeH4+2335ZukQLqHj02ffp0fPrpp6isrMSgQYPwwQcf6C2CLCkpQUJCAr766isAQHR0NFauXAlnZ2cp5tKlS3jllVfw3Xffwc7ODjExMXjvvfdgY9P474S/3YmIiMho3Hy3rNytKcrLy9GtWzesWrWq3rGKigocPXoUc+fOxdGjR/HFF1/gzJkziI6O1otLTEzE1q1bsXnzZuzfvx9lZWWIiorSu78+JiYG2dnZSEtLQ1paGrKzsxEbGysd12q1GDZsGMrLy7F//35s3rwZW7ZswbRp05p0PUZ9zx0RERHR/TZ06NDbPjNWpVLVexvUypUr8dhjj+HSpUto3bo11Go11q5diw0bNiA8PBwA8Mknn8DX1xe7du1CZGQkcnJykJaWhoyMDISGhgIAUlJSEBYWhtzcXPj7+yM9PR2nT59Gfn6+1BVcsmQJxo8fj4ULFza628rOHRERERmNm6tl5W73k1qthkKhkKZTs7KyUFNTg4iICCnGx8cHXbp0wYEDBwDUPd1CpVJJhR0A9O7dGyqVSi+mS5cuetO9kZGR0Gg0yMrKanR+7NwRERGR0TDko1BufeWmIZ79WlVVhddeew0xMTFSJ62wsBA2NjZwcdF/F7KnpycKCwulGA8Pj3rjeXh46MV4enrqHXdxcYGNjY0U0xjs3BEREZFJ8vX1hUqlkrZFixbJGq+mpgbPPfccdDodPvjgg7vG3/rShca8mMEQL29g546IiIiMhiE7d/n5+Xr3qcnp2tXU1GD06NHIy8vDd999pzeul5cXqqurUVJSote9KyoqQp8+faSYq1ev1hu3uLhY6tZ5eXnh0KFDesdLSkpQU1NTr6N3J+zcERERkUlycnLS2+61uLtZ2P3yyy/YtWsX3Nzc9I6HhITA2tpab+FFQUEBTp48KRV3YWFhUKvVyMzMlGIOHToEtVqtF3Py5EkUFPz+7vD09HQolUqEhIQ0Ol927oiIiMhoNMfrx8rKynD27O9vErr55itXV1f4+Pjg2WefxdGjR/Gf//wHWq1Wuv/N1dUVNjY2UKlUiIuLw7Rp0+Dm5gZXV1dMnz4dQUFB0urZgIAADBkyBPHx8VizZg0AYOLEiYiKioK/vz8AICIiAoGBgYiNjcW7776La9euYfr06YiPj2/ScwlZ3BEREZHREECTn1PX0BhNceTIEb13wU+dOhVA3dumkpKSpIcOd+/eXe+8PXv2YMCAAQCAZcuWwcrKCqNHj5YeYpyamgrLP7xEfOPGjUhISJBW1UZHR+s9W8/S0hJff/01Jk2ahL59++o9xLgp+IYKM8M3VJC54xsqyJw9DG+oCN/xEqwc5K1orS3XYNdTa4zyOh8Edu6IiIjIaDTHtKypYXFHRERERoPFnXyclyMiIiIyIezcERERkdFg504+FndERERkNFjcycdpWSIiIiITws4dERERGQ0hFBAyO29yz3/YsbgjIiIio6GDQvZDjOWe/7DjtCwRERGRCWHnjoiIiIwGF1TIx+KOiIiIjAbvuZOP07JEREREJoSdOyIiIjIanJaVj8UdERERGQ1Oy8rHaVkiIiIiE8LOHRERERkNYYBpWXPv3LG4IyIiIqMhAAghfwxzxmlZIiIiIhPCzh0REREZDR0UUPD1Y7KwuCMiIiKjwdWy8nFaloiIiMiEsHNHRERERkMnFFDwIcaysLgjIiIioyGEAVbLmvlyWU7LEhEREZkQdu6IiIjIaHBBhXws7oiIiMhosLiTj9OyRERERCaEnTsiIiIyGlwtKx+LOyIiIjIaXC0rH6dliYiIiEwIO3dERERkNOo6d3IXVBgomYcUizsiIiIyGlwtKx+nZYmIiIhMCDt3REREZDTE/za5Y5gzFndERERkNDgtKx+nZYmIiIhMCIs7IiIiMh7CQFsTfP/99xg+fDh8fHygUCiwbds2/ZSEQFJSEnx8fGBnZ4cBAwbg1KlTejEajQZTpkyBu7s7HBwcEB0djcuXL+vFlJSUIDY2FiqVCiqVCrGxsbh+/bpezKVLlzB8+HA4ODjA3d0dCQkJqK6ubtL1sLgjIiIi4/G/aVk5G5o4LVteXo5u3bph1apVDR5/5513sHTpUqxatQqHDx+Gl5cXBg8ejBs3bkgxiYmJ2Lp1KzZv3oz9+/ejrKwMUVFR0Gq1UkxMTAyys7ORlpaGtLQ0ZGdnIzY2Vjqu1WoxbNgwlJeXY//+/di8eTO2bNmCadOmNel6eM8dERERmbWhQ4di6NChDR4TQmD58uWYM2cORo0aBQBYv349PD09sWnTJrz00ktQq9VYu3YtNmzYgPDwcADAJ598Al9fX+zatQuRkZHIyclBWloaMjIyEBoaCgBISUlBWFgYcnNz4e/vj/T0dJw+fRr5+fnw8fEBACxZsgTjx4/HwoUL4eTk1KjrYeeOiIiIjMbN14/J3QCgtLRUb9NoNE3OJy8vD4WFhYiIiJD2KZVK9O/fHwcOHAAAZGVloaamRi/Gx8cHXbp0kWIOHjwIlUolFXYA0Lt3b6hUKr2YLl26SIUdAERGRkKj0SArK6vRObO4IyIiIqMhd0r2j6ttfX19pfvbVCoVFi1a1OR8CgsLAQCenp56+z09PaVjhYWFsLGxgYuLyx1jPDw86o3v4eGhF3Prz3FxcYGNjY0U0xicliUiIiKTlJ+frzeVqVQq73kshUL/Pj4hRL19t7o1pqH4e4m5G3buiIiIyHjcXBAhdwPg5OSkt91Lcefl5QUA9TpnRUVFUpfNy8sL1dXVKCkpuWPM1atX641fXFysF3PrzykpKUFNTU29jt6dsLgjIiIio2HIe+4MoV27dvDy8sLOnTulfdXV1di3bx/69OkDAAgJCYG1tbVeTEFBAU6ePCnFhIWFQa1WIzMzU4o5dOgQ1Gq1XszJkydRUFAgxaSnp0OpVCIkJKTROXNaloiIiMxaWVkZzp49K33Oy8tDdnY2XF1d0bp1ayQmJiI5ORl+fn7w8/NDcnIy7O3tERMTAwBQqVSIi4vDtGnT4ObmBldXV0yfPh1BQUHS6tmAgAAMGTIE8fHxWLNmDQBg4sSJiIqKgr+/PwAgIiICgYGBiI2Nxbvvvotr165h+vTpiI+Pb/RKWYDFHRERERmTZni57JEjRzBw4EDp89SpUwEA48aNQ2pqKmbOnInKykpMmjQJJSUlCA0NRXp6OhwdHaVzli1bBisrK4wePRqVlZUYNGgQUlNTYWlpKcVs3LgRCQkJ0qra6OhovWfrWVpa4uuvv8akSZPQt29f2NnZISYmBu+9916TrkchhCGbl2TsSktLoVKpUHKmPZwcOStP5uep/qOaOwWiZlOr1WD3uRVQq9VN6gQ9CDd/P7X+aB4s7G1ljaWrqMKliW8Y5XU+CI3q3L3//vuNHjAhIeGekyEiIiIieRpV3C1btqxRgykUChZ3REREJA/nFGVpVHGXl5d3v/MgIiIi0nsIsZwxzNk933RVXV2N3Nxc1NbWGjIfIiIiIpKhycVdRUUF4uLiYG9vj86dO+PSpUsA6u61e/vttw2eIBEREZkRYaDNjDW5uJs9ezaOHz+OvXv3wtb299Us4eHh+OyzzwyaHBEREZkbhYE289Xk59xt27YNn332GXr37q33nrPAwECcO3fOoMkRERERUdM0ubgrLi6Gh4dHvf3l5eVNeqktERERUT3N8BBjU9PkadlevXrh66+/lj7fLOhSUlIQFhZmuMyIiIjI/PCeO9ma3LlbtGgRhgwZgtOnT6O2thYrVqzAqVOncPDgQezbt+9+5EhEREREjdTkzl2fPn3w448/oqKiAo8++ijS09Ph6emJgwcPIiQk5H7kSEREROZCKAyzmbEmd+4AICgoCOvXrzd0LkRERGTmhKjb5I5hzu6puNNqtdi6dStycnKgUCgQEBCAESNGwMrqnoYjIiIiIgNpcjV28uRJjBgxAoWFhfD39wcAnDlzBi1btsRXX32FoKAggydJREREZoKrZWVr8j13EyZMQOfOnXH58mUcPXoUR48eRX5+Prp27YqJEyfejxyJiIjIXPCeO9ma3Lk7fvw4jhw5AhcXF2mfi4sLFi5ciF69ehk0OSIiIiJqmiZ37vz9/XH16tV6+4uKitChQweDJEVERETmSSEMs5mzRnXuSktLpX9OTk5GQkICkpKS0Lt3bwBARkYG3njjDSxevPj+ZElERETmgffcydao4s7Z2Vnv1WJCCIwePVraJ/635nj48OHQarX3IU0iIiIiaoxGFXd79uy533kQERERGWZBBBdU3F3//v3vdx5EREREnJY1gHt+6nBFRQUuXbqE6upqvf1du3aVnRQRERER3ZsmF3fFxcX4y1/+gm+++abB47znjoiIiO4ZO3eyNflRKImJiSgpKUFGRgbs7OyQlpaG9evXw8/PD1999dX9yJGIiIjMhTDQZsaa3Ln77rvv8OWXX6JXr16wsLBAmzZtMHjwYDg5OWHRokUYNmzY/ciTiIiIiBqhyZ278vJyeHh4AABcXV1RXFwMAAgKCsLRo0cNmx0RERGZF75+TLZ7ekNFbm4uAKB79+5Ys2YNfv31V3z44Yfw9vY2eIJERERkPviGCvmaPC2bmJiIgoICAMD8+fMRGRmJjRs3wsbGBqmpqYbOj4iIiIiaoMnF3dixY6V/Dg4OxoULF/Dzzz+jdevWcHd3N2hyREREZGa4Wla2e37O3U329vbo0aOHIXIhIiIiIpkaVdxNnTq10QMuXbr0npMhIiIiInkaVdwdO3asUYMpFOa9OoWIiIjkUUD+gghzr0YaVdzt2bPnfudBD9jTHYNgpbBu7jSIHjyLi82dAVGz0Yqa5k7h7gzxKBM+CoWIiIiITIXsBRVEREREBsPVsrKxc0dERETGoxneLVtbW4vXX38d7dq1g52dHdq3b4833ngDOp3u97SEQFJSEnx8fGBnZ4cBAwbg1KlTeuNoNBpMmTIF7u7ucHBwQHR0NC5fvqwXU1JSgtjYWKhUKqhUKsTGxuL69etNS/guWNwRERGRWVu8eDE+/PBDrFq1Cjk5OXjnnXfw7rvvYuXKlVLMO++8g6VLl2LVqlU4fPgwvLy8MHjwYNy4cUOKSUxMxNatW7F582bs378fZWVliIqKglarlWJiYmKQnZ2NtLQ0pKWlITs7G7GxsQa9Hk7LEhERkdEwxOvDmnr+wYMHMWLECAwbNgwA0LZtW3z66ac4cuQIgLqu3fLlyzFnzhyMGjUKALB+/Xp4enpi06ZNeOmll6BWq7F27Vps2LAB4eHhAIBPPvkEvr6+2LVrFyIjI5GTk4O0tDRkZGQgNDQUAJCSkoKwsDDk5ubC399f3oX/zz117jZs2IC+ffvCx8cHFy/WrTxbvnw5vvzyS4MkRURERGaqGaZl+/Xrh927d+PMmTMAgOPHj2P//v146qmnAAB5eXkoLCxERESEdI5SqUT//v1x4MABAEBWVhZqamr0Ynx8fNClSxcp5uDBg1CpVFJhBwC9e/eGSqWSYgyhycXd6tWrMXXqVDz11FO4fv261Gp0dnbG8uXLDZYYERERkRylpaV6m0ajaTBu1qxZeP7559GpUydYW1sjODgYiYmJeP755wEAhYWFAABPT0+98zw9PaVjhYWFsLGxgYuLyx1jPDw86v18Dw8PKcYQmlzcrVy5EikpKZgzZw4sLS2l/T179sRPP/1ksMSIiIjIDBmwc+fr6ystXFCpVFi0aFGDP/Kzzz7DJ598gk2bNuHo0aNYv3493nvvPaxfv14v7taXNQgh7voCh1tjGopvzDhN0eR77vLy8hAcHFxvv1KpRHl5uUGSIiIiIvNkyHvu8vPz4eTkJO1XKpUNxs+YMQOvvfYannvuOQBAUFAQLl68iEWLFmHcuHHw8vICUNd58/b2ls4rKiqSunleXl6orq5GSUmJXveuqKgIffr0kWKuXr1a7+cXFxfX6wrK0eTOXbt27ZCdnV1v/zfffIPAwEBD5EREREQkm5OTk952u+KuoqICFhb6JZGlpaX0KJR27drBy8sLO3fulI5XV1dj3759UuEWEhICa2trvZiCggKcPHlSigkLC4NarUZmZqYUc+jQIajVainGEJrcuZsxYwZeeeUVVFVVQQiBzMxMfPrpp1i0aBH++c9/GiwxIiIiMkPN8Pqx4cOHY+HChWjdujU6d+6MY8eOYenSpXjxxRcB1E2lJiYmIjk5GX5+fvDz80NycjLs7e0RExMDAFCpVIiLi8O0adPg5uYGV1dXTJ8+HUFBQdLq2YCAAAwZMgTx8fFYs2YNAGDixImIiooy2EpZ4B6Ku7/85S+ora3FzJkzUVFRgZiYGDzyyCNYsWKF1M4kIiIiuifN8IaKlStXYu7cuZg0aRKKiorg4+ODl156CfPmzZNiZs6cicrKSkyaNAklJSUIDQ1Feno6HB0dpZhly5bBysoKo0ePRmVlJQYNGoTU1FS9NQobN25EQkKCtKo2Ojoaq1atkne9t1AIIe75K/ztt9+g0+kaXPlBxqm0tBQqlQoDMAJWCuvmTofowbOwvHsMkYmqFTXYq/sCarVa7140Y3Dz91O7pGRY2NrKGktXVYW8pL8b5XU+CLIeYuzu7m6oPIiIiIia5SHGpqbJxV27du3uuFz3/PnzshIiIiIiM9YM07KmpsnFXWJiot7nmpoaHDt2DGlpaZgxY4ah8iIiIiKie9Dk4u7VV19tcP8//vEP6R1sRERERPfEANOy5t65u6d3yzZk6NCh2LJli6GGIyIiInPUDO+WNTUGK+7+/e9/w9XV1VDDEREREdE9aPK0bHBwsN6CCiEECgsLUVxcjA8++MCgyREREZGZ4YIK2Zpc3I0cOVLvs4WFBVq2bIkBAwagU6dOhsqLiIiIzBAfhSJfk4q72tpatG3bFpGRkdJLdImIiIjIeDTpnjsrKyv89a9/hUajuV/5EBEREZEMTV5QERoaimPHjt2PXIiIiMjccbWsbE2+527SpEmYNm0aLl++jJCQEDg4OOgd79q1q8GSIyIiIqKmaXRx9+KLL2L58uUYM2YMACAhIUE6plAoIISAQqGAVqs1fJZERERkFrigQr5GF3fr16/H22+/jby8vPuZDxEREZk7My/O5Gp0cSdE3Tfdpk2b+5YMEREREcnTpHvu/vjwYiIiIiKD40OMZWtScdexY8e7FnjXrl2TlRARERGZL95zJ1+TirsFCxZApVLdr1yIiIiISKYmFXfPPfccPDw87lcuREREZO44LStbo4s73m9HRERE9xunZeVr9Bsqbq6WJSIiIiLj1ejOnU6nu595EBEREXFa1gCa/PoxIiIiovuGxZ1sjZ6WJSIiIiLjx84dERERGQ0uqJCPxR0REREZD07LysZpWSIiIiITws4dERERGQ927mRjcUdERERGg/fcycdpWSIiIiITws4dERERGQ9Oy8rG4o6IiIiMBqdl5eO0LBEREZEJYeeOiIiIjAenZWVjcUdERETGg8WdbJyWJSIiIjIhLO6IiIjIaCgMtDXVr7/+ij//+c9wc3ODvb09unfvjqysLOm4EAJJSUnw8fGBnZ0dBgwYgFOnTumNodFoMGXKFLi7u8PBwQHR0dG4fPmyXkxJSQliY2OhUqmgUqkQGxuL69ev30PGt8fijoiIiIyHMNDWBCUlJejbty+sra3xzTff4PTp01iyZAmcnZ2lmHfeeQdLly7FqlWrcPjwYXh5eWHw4MG4ceOGFJOYmIitW7di8+bN2L9/P8rKyhAVFQWtVivFxMTEIDs7G2lpaUhLS0N2djZiY2Ob+CXdGe+5IyIiIrO2ePFi+Pr6Yt26ddK+tm3bSv8shMDy5csxZ84cjBo1CgCwfv16eHp6YtOmTXjppZegVquxdu1abNiwAeHh4QCATz75BL6+vti1axciIyORk5ODtLQ0ZGRkIDQ0FACQkpKCsLAw5Obmwt/f3yDXw84dERERGY2bz7mTuwFAaWmp3qbRaBr8mV999RV69uyJP/3pT/Dw8EBwcDBSUlKk43l5eSgsLERERIS0T6lUon///jhw4AAAICsrCzU1NXoxPj4+6NKlixRz8OBBqFQqqbADgN69e0OlUkkxhsDijoiIiIyHAadlfX19pXvbVCoVFi1a1OCPPH/+PFavXg0/Pz98++23ePnll5GQkIB//etfAIDCwkIAgKenp955np6e0rHCwkLY2NjAxcXljjEeHh71fr6Hh4cUYwicliUiIiKTlJ+fDycnJ+mzUqlsME6n06Fnz55ITk4GAAQHB+PUqVNYvXo1XnjhBSlOodBfqiGEqLfvVrfGNBTfmHGagp07IiIiMi4GWkzh5OSkt92uuPP29kZgYKDevoCAAFy6dAkA4OXlBQD1umtFRUVSN8/LywvV1dUoKSm5Y8zVq1fr/fzi4uJ6XUE5WNwRERGR0TDkPXeN1bdvX+Tm5urtO3PmDNq0aQMAaNeuHby8vLBz507peHV1Nfbt24c+ffoAAEJCQmBtba0XU1BQgJMnT0oxYWFhUKvVyMzMlGIOHToEtVotxRgCp2WJiIjIrP3tb39Dnz59kJycjNGjRyMzMxMfffQRPvroIwB1U6mJiYlITk6Gn58f/Pz8kJycDHt7e8TExAAAVCoV4uLiMG3aNLi5ucHV1RXTp09HUFCQtHo2ICAAQ4YMQXx8PNasWQMAmDhxIqKiogy2UhZgcUdERETGpBleP9arVy9s3boVs2fPxhtvvIF27dph+fLlGDt2rBQzc+ZMVFZWYtKkSSgpKUFoaCjS09Ph6OgoxSxbtgxWVlYYPXo0KisrMWjQIKSmpsLS0lKK2bhxIxISEqRVtdHR0Vi1apW8672FQghh5m9gMy+lpaVQqVQYgBGwUlg3dzpED56F5d1jiExUrajBXt0XUKvVegsNjMHN309BE5JhaWMrayxtdRV++uffjfI6HwTec0dERERkQjgtS0RERMajGaZlTQ2LOyIiIjIa97LataExzBmnZYmIiIhMCDt3REREZDw4LSsbizsiIiIyHizuZOO0LBEREZEJYeeOiIiIjAYXVMjH4o6IiIiMB6dlZeO0LBEREZEJYeeOiIiIjIZCCChkvhlV7vkPOxZ3REREZDw4LSsbp2WJiIiITAg7d0RERGQ0uFpWPhZ3REREZDw4LSsbp2WJiIiITAg7d0RERGQ0OC0rH4s7IiIiMh6clpWN07JEREREJoSdOyIiIjIanJaVj8UdERERGQ9Oy8rGaVkiIiIiE8LOHRERERkVc59WlYvFHRERERkPIeo2uWOYMU7LEhEREZkQdu6IiIjIaHC1rHws7oiIiMh4cLWsbJyWJSIiIjIh7NwRERGR0VDo6ja5Y5gzFndERERkPDgtKxunZe/iwoULUCgUyM7Obu5U6jHm3Oh3YyZfxbdXjuPlBb8CACytBOLmXMGHu3Px5dmfsOnoKcxYcQmunjXNnCnRvekSegML1p3FpiM/4dvLRxEWeV3vuLN7DaYtvYBNR37Cl78cw8JPzsKnXZVezDv/dwbfXj6qt83+R94DvAoi08HO3QN24cIFtGvXDseOHUP37t2bOx26zzp2q8BTf76G86dspX1KOx06BFVi03JPnD9tixYqLV5ecAULUvMwZWjHZsyW6N7Y2utw/rQ90j93w7yUWwsygflrz0Nbo0BSXHtU3LDEqIlFePvTs4gfGABNpaUUuWOjG/71no/0WVPF/oM54mpZ+VjcEd0ntvZazFp1EctntMLzr16V9lfcsMTs5x7Vi/3g9Uew8ptf0PKRahT/avOgUyWS5cgeFY7sUf3vk35x90g7DQJDyjHxyQBcPGMHAFj1d198dvwEBo4sQdqn7lKsptICJcXWDyptMlZ8iLFsZvPXon//+98ICgqCnZ0d3NzcEB4ejvLycgDAunXrEBAQAFtbW3Tq1AkffPDBHcc6ffo0nnrqKbRo0QKenp6IjY3Fb7/9Jh3X6XRYvHgxOnToAKVSidatW2PhwoUAgHbt2gEAgoODoVAoMGDAAOm8u+WRmZmJ4OBg2NraomfPnjh27Jghvhq6TyYn/4rM3U449oPjXWMdnLTQ6YByteVdY4keJtbKul+y1Zrff93odArUVCvQuVeZXuzAp0vw+Ynj+Gj3acS/fhl2DtoHmiuRqTCLzl1BQQGef/55vPPOO3j66adx48YN/PDDDxBCICUlBfPnz8eqVasQHByMY8eOIT4+Hg4ODhg3blyDY/Xv3x/x8fFYunQpKisrMWvWLIwePRrfffcdAGD27NlISUnBsmXL0K9fPxQUFODnn38GUFegPfbYY9i1axc6d+4MG5u6Ls3d8igvL0dUVBSefPJJfPLJJ8jLy8Orr75612vXaDTQaDTS59LSUkN8pXQX/UeUoENQJaY85XfXWGulDi/+vQB7tjqjoozFHZmW/LO2KMy3wYuv/YoVr7VGVYUFRk0sgptnLVw9fr/PdM9WVxRessG1Ymu09a/Ei69dQfvASsyOufufITItnJaVzyw6dwUFBaitrcWoUaPQtm1bBAUFYdKkSWjRogXefPNNLFmyBKNGjUK7du0watQo/O1vf8OaNWsaHGv16tXo0aMHkpOT0alTJwQHB+Pjjz/Gnj17cObMGdy4cQMrVqzAO++8g3HjxuHRRx9Fv379MGHCBABAy5YtAQBubm7w8vKCq6srANw1j40bN0Kr1eLjjz9G586dERUVhRkzZtz12hctWgSVSiVtvr6+hvhK6Q5a+lTjr29cwTtTWqNGc+c/YpZWAn9ffREKC2DV7FYPKEOiB0dbq8CbE9vjkfYabDl1Al/9ko1uYWXI/M4JOp1CivtmkzuO7XfCxVw77PvKFW++1B49nriBDl0qmjF7ahbCQNs9WrRoERQKBRITE39PSQgkJSXBx8cHdnZ2GDBgAE6dOqV3nkajwZQpU+Du7g4HBwdER0fj8uXLejElJSWIjY2VfifHxsbi+vXr957sbZhF565bt24YNGgQgoKCEBkZiYiICDz77LOora1Ffn4+4uLiEB8fL8XX1tZCpVI1OFZWVhb27NmDFi1a1Dt27tw5XL9+HRqNBoMGDWp0fsXFxXfNIycnB926dYO9vb10PCws7K5jz549G1OnTpU+l5aWssC7zzp0rYRLy1qsSjsj7bO0AoJ6lyP6L78hqm1X6HQKWFoJzFlzAV6+1Zg5+lF27chknf3JHpMiA2DvqIW1tQ7qa9ZYsf1nnDluf4dz7FBTrcAj7apw9uTt44gM6fDhw/joo4/QtWtXvf3vvPMOli5ditTUVHTs2BFvvfUWBg8ejNzcXDg61t16k5iYiO3bt2Pz5s1wc3PDtGnTEBUVhaysLFha1v3/PSYmBpcvX0ZaWhoAYOLEiYiNjcX27dsNeh1mUdxZWlpi586dOHDgANLT07Fy5UrMmTNH+jJTUlIQGhpa75yG6HQ6DB8+HIsXL653zNvbG+fPn29yfjqd7q55iHu8OVSpVEKpVN7TuXRvsn9ogYkD9Ve9TluWj/yztvj8Hy31CrtH2lVj5rOP4kaJWfxRJDNXccMSgCV82lXBr2sF1r/rc9vYNv5VsLYR+G8RF1iYm+aali0rK8PYsWORkpKCt956S9ovhMDy5csxZ84cjBo1CgCwfv16eHp6YtOmTXjppZegVquxdu1abNiwAeHh4QCATz75BL6+vti1axciIyORk5ODtLQ0ZGRkSL/rU1JSEBYWhtzcXPj7+8u76D8wi2lZAFAoFOjbty8WLFiAY8eOwcbGBj/++CMeeeQRnD9/Hh06dNDbbi58uFWPHj1w6tQptG3btt45Dg4O8PPzg52dHXbv3t3g+TfvsdNqf79R2NPT8655BAYG4vjx46isrJTOy8jIMNTXQwZUWW6Ji7l2eltVhQVulNTtt7AUmJtyAR27VWLx5NawsBRwaVkDl5Y1sLI288eq00PJ1l6L9oEVaB9YN4Xq5atB+8AKtPSpBgA8PqwEXcNuwKu1BmER17Fo01kc/NYZR793AgB4t9FgbGIB/LqWw7OVBr2eVOP1D8/jl5/scPpw/VkSMnE3V8vK3ZrolVdewbBhw6Ti7Ka8vDwUFhYiIiJC2qdUKtG/f38cOHAAQN2sXk1NjV6Mj48PunTpIsUcPHgQKpVKr4nTu3dvqFQqKcZQzKJdcOjQIezevRsRERHw8PDAoUOHUFxcjICAACQlJSEhIQFOTk4YOnQoNBoNjhw5gpKSEr3pzJteeeUVpKSk4Pnnn8eMGTPg7u6Os2fPYvPmzUhJSYGtrS1mzZqFmTNnwsbGBn379kVxcTFOnTqFuLg4eHh4wM7ODmlpaWjVqhVsbW2hUqnumkdMTAzmzJmDuLg4vP7667hw4QLee++9Zvg2Sa6W3jUIi6xb2LJ61xm9YzOeeRQnDvKXGT1cOnarwLv/94v0+eWkugd2p3/uiiVT28LVswYvzb8MZ/daXCuyxq5/u2LTCi8pvrZage79bmBkXBFs7XX4rcAGh3Y7YeMyb7378oia6tZFhLebzdq8eTOOHj2Kw4cP1ztWWFgIoK4R80eenp64ePGiFGNjYwMXF5d6MTfPLywshIeHR73xPTw8pBhDMYvizsnJCd9//z2WL1+O0tJStGnTBkuWLMHQoUMBAPb29nj33Xcxc+ZMODg4ICgoSO9Gyj/y8fHBjz/+iFmzZiEyMhIajQZt2rTBkCFDYGFR1widO3curKysMG/ePFy5cgXe3t54+eWXAQBWVlZ4//338cYbb2DevHl4/PHHsXfvXkyYMOGOebRo0QLbt2/Hyy+/jODgYAQGBmLx4sV45pln7vv3R/LNfLaD9M9XL9sg0qdbM2ZDZFgnDjoislWP2x7/8mMPfPlx/V9qNxUX2GDGs3yAN9Ux5LTsrfeYz58/H0lJSXr78vPz8eqrryI9PR22tra4HYVC/y8aQoh6+251a0xD8Y0Zp6kU4l5v5qKHUmlpKVQqFQZgBKwUvJeFzJAFF66Q+aoVNdir+wJqtRpOTk7NnY6em7+fwoa8ASvr2xdZjVFbU4WDafOQn5+vd50Nde62bduGp59+Wu9ee61WC4VCAQsLC+Tm5qJDhw44evQogoODpZgRI0bA2dkZ69evx3fffYdBgwbh2rVret27bt26YeTIkViwYAE+/vhjTJ06td7qWGdnZyxbtgx/+ctfZF3zH5nNPXdERERkXpycnPS2hqZkBw0ahJ9++gnZ2dnS1rNnT4wdOxbZ2dlo3749vLy8sHPnTumc6upq7Nu3D3369AEAhISEwNraWi+moKAAJ0+elGLCwsKgVquRmZkpxRw6dAhqtVqKMRSzmJYlIiKih8ODXi3r6OiILl266O1zcHCAm5ubtD8xMRHJycnw8/ODn58fkpOTYW9vj5iYGACASqVCXFwcpk2bBjc3N7i6umL69OkICgqSFmgEBARgyJAhiI+Pl55hO3HiRERFRRl0pSzA4o6IiIiMiU7UbXLHMKCZM2eisrISkyZNQklJCUJDQ5Geni494w4Ali1bBisrK4wePRqVlZUYNGgQUlNT9aZ7N27ciISEBGlVbXR0NFatWmXQXAHec2d2eM8dmT3ec0dm7GG4567P4AUGuefuwM75RnmdDwI7d0RERGQ8ZL4+TBrDjHFBBREREZEJYeeOiIiIjIYCBlhQYZBMHl4s7oiIiMh43OPrw+qNYcY4LUtERERkQti5IyIiIqPxoJ9zZ4pY3BEREZHx4GpZ2TgtS0RERGRC2LkjIiIio6EQAgqZCyLknv+wY3FHRERExkP3v03uGGaM07JEREREJoSdOyIiIjIanJaVj8UdERERGQ+ulpWN07JEREREJoSdOyIiIjIefP2YbCzuiIiIyGjwDRXycVqWiIiIyISwc0dERETGg9OysrG4IyIiIqOh0NVtcscwZ5yWJSIiIjIh7NwRERGR8eC0rGws7oiIiMh48CHGsnFaloiIiMiEsHNHRERERoPvlpWPxR0REREZD95zJxunZYmIiIhMCDt3REREZDwEALnPqTPvxh2LOyIiIjIevOdOPk7LEhEREZkQdu6IiIjIeAgYYEGFQTJ5aLG4IyIiIuPB1bKycVqWiIiIyISwc0dERETGQwdAYYAxzBiLOyIiIjIaXC0rH6dliYiIiEwIO3dERERkPLigQjZ27oiIiMh43Czu5G5NsGjRIvTq1QuOjo7w8PDAyJEjkZube0taAklJSfDx8YGdnR0GDBiAU6dO6cVoNBpMmTIF7u7ucHBwQHR0NC5fvqwXU1JSgtjYWKhUKqhUKsTGxuL69ev39FXdDos7IiIiMmv79u3DK6+8goyMDOzcuRO1tbWIiIhAeXm5FPPOO+9g6dKlWLVqFQ4fPgwvLy8MHjwYN27ckGISExOxdetWbN68Gfv370dZWRmioqKg1WqlmJiYGGRnZyMtLQ1paWnIzs5GbGysQa9HIYSZ9y7NTGlpKVQqFQZgBKwU1s2dDtGDZ2HZ3BkQNZtaUYO9ui+gVqvh5OTU3Onoufn7aVDANFhZKmWNVavVYHfOknu+zuLiYnh4eGDfvn144oknIISAj48PEhMTMWvWLAB1XTpPT08sXrwYL730EtRqNVq2bIkNGzZgzJgxAIArV67A19cXO3bsQGRkJHJychAYGIiMjAyEhoYCADIyMhAWFoaff/4Z/v7+sq77JnbuiIiIyHjoDLShrmD846bRaBqVglqtBgC4uroCAPLy8lBYWIiIiAgpRqlUon///jhw4AAAICsrCzU1NXoxPj4+6NKlixRz8OBBqFQqqbADgN69e0OlUkkxhsDijoiIiEySr6+vdG+bSqXCokWL7nqOEAJTp05Fv3790KVLFwBAYWEhAMDT01Mv1tPTUzpWWFgIGxsbuLi43DHGw8Oj3s/08PCQYgyBq2WJiIjIaBjyOXf5+fl607JK5d2neydPnowTJ05g//799cdV6D9dWQhRb9+tbo1pKL4x4zQFO3dERERkPAy4WtbJyUlvu1txN2XKFHz11VfYs2cPWrVqJe338vICgHrdtaKiIqmb5+XlherqapSUlNwx5urVq/V+bnFxcb2uoBws7oiIiMisCSEwefJkfPHFF/juu+/Qrl07vePt2rWDl5cXdu7cKe2rrq7Gvn370KdPHwBASEgIrK2t9WIKCgpw8uRJKSYsLAxqtRqZmZlSzKFDh6BWq6UYQ+C0LBERERkPnQAUMh/koWva+a+88go2bdqEL7/8Eo6OjlKHTqVSwc7ODgqFAomJiUhOToafnx/8/PyQnJwMe3t7xMTESLFxcXGYNm0a3Nzc4OrqiunTpyMoKAjh4eEAgICAAAwZMgTx8fFYs2YNAGDixImIiooy2EpZgMUdERERGZNmeEPF6tWrAQADBgzQ279u3TqMHz8eADBz5kxUVlZi0qRJKCkpQWhoKNLT0+Ho6CjFL1u2DFZWVhg9ejQqKysxaNAgpKamwtLy90cwbdy4EQkJCdKq2ujoaKxateoeLvL2+Jw7M8Pn3JHZ43PuyIw9DM+5C2//qkGec7fr/AqjvM4HgZ07IiIiMiIG6NzBvPtWLO6IiIjIeDTDtKyp4WpZIiIiIhPCzh0REREZD52A7GnVJq6WNTUs7oiIiMh4CF3dJncMM8ZpWSIiIiITws4dERERGQ8uqJCNxR0REREZD95zJxunZYmIiIhMCDt3REREZDw4LSsbizsiIiIyHgIGKO4MkslDi9OyRERERCaEnTsiIiIyHpyWlY3FHRERERkPnQ6AzIcQ6/gQYyIiIiIyEezcERERkfHgtKxsLO6IiIjIeLC4k43TskREREQmhJ07IiIiMh58/ZhsLO6IiIjIaAihgxDyVrvKPf9hx2lZIiIiIhPCzh0REREZDyHkT6ua+YIKFndERERkPIQB7rkz8+KO07JEREREJoSdOyIiIjIeOh2gkLkgwswXVLC4IyIiIuPBaVnZOC1LREREZELYuSMiIiKjIXQ6CJnTsub+nDsWd0RERGQ8OC0rG6dliYiIiEwIO3dERERkPHQCULBzJweLOyIiIjIeQgCQ+ygU8y7uOC1LREREZELYuSMiIiKjIXQCQua0rDDzzh2LOyIiIjIeQgf507Lm/SgUTssSERERmRB27oiIiMhocFpWPhZ3REREZDw4LSsbizszc/NvM7Wokf0AcKKHkpn/T5/MW62oAWDcnS1D/H6qRY1hknlIsbgzMzdu3AAA7MeOZs6EqJmwtiPCjRs3oFKpmjsNPTY2NvDy8sL+QsP8fvLy8oKNjY1BxnrYKIQxl+9kcDqdDleuXIGjoyMUCkVzp2N2SktL4evri/z8fDg5OTV3OkQPHP8MNC8hBG7cuAEfHx9YWBjfmsqqqipUV1cbZCwbGxvY2toaZKyHDTt3ZsbCwgKtWrVq7jTMnpOTE3+xkVnjn4HmY2wduz+ytbU124LMkIyvbCciIiKie8bijoiIiMiEsLgjeoCUSiXmz58PpVLZ3KkQNQv+GSC6/7iggoiIiMiEsHNHREREZEJY3BERERGZEBZ3RERERCaExR1RM1AoFNi2bVtzp9EgY86NjMuFCxegUCiQnZ3d3KnUY8y5Ed1vLO6I/iApKQndu3dv7jSajAUZmQIWZESGweKOiIiIyISwuCOTMWDAACQkJGDmzJlwdXWFl5cXkpKS9GIuXbqEESNGoEWLFnBycsLo0aNx9epVAEBqaioWLFiA48ePQ6FQQKFQIDU1tcGftXfvXjz22GNwcHCAs7Mz+vbti4sXL0rHt2/fjpCQENja2qJ9+/ZYsGABamtrb5v7r7/+ijFjxsDFxQVubm4YMWIELly4oBfz8ccfo3PnzlAqlfD29sbkyZMBAG3btgUAPP3001AoFNLnxuTxyy+/4IknnoCtrS0CAwOxc+fOu3zLZIr+/e9/IygoCHZ2dnBzc0N4eDjKy8sBAOvWrUNAQABsbW3RqVMnfPDBB3cc6/Tp03jqqafQokULeHp6IjY2Fr/99pt0XKfTYfHixejQoQOUSiVat26NhQsXAgDatWsHAAgODoZCocCAAQOk8+6WR2ZmJoKDg2Fra4uePXvi2LFjhvhqiB5OgshE9O/fXzg5OYmkpCRx5swZsX79eqFQKER6eroQQgidTieCg4NFv379xJEjR0RGRobo0aOH6N+/vxBCiIqKCjFt2jTRuXNnUVBQIAoKCkRFRUW9n1NTUyNUKpWYPn26OHv2rDh9+rRITU0VFy9eFEIIkZaWJpycnERqaqo4d+6cSE9PF23bthVJSUnSGADE1q1bhRBClJeXCz8/P/Hiiy+KEydOiNOnT4uYmBjh7+8vNBqNEEKIDz74QNja2orly5eL3NxckZmZKZYtWyaEEKKoqEgAEOvWrRMFBQWiqKioUXlotVrRpUsXMWDAAHHs2DGxb98+ERwcrJcbmb4rV64IKysrsXTpUpGXlydOnDgh/vGPf4gbN26Ijz76SHh7e4stW7aI8+fPiy1btghXV1eRmpoqhBAiLy9PABDHjh2TxnJ3dxezZ88WOTk54ujRo2Lw4MFi4MCB0s+bOXOmcHFxEampqeLs2bPihx9+ECkpKUIIITIzMwUAsWvXLlFQUCD++9//CiHEXfMoKysTLVu2FGPGjBEnT54U27dvF+3bt9fLjcicsLgjk9G/f3/Rr18/vX29evUSs2bNEkIIkZ6eLiwtLcWlS5ek46dOnRIARGZmphBCiPnz54tu3brd8ef897//FQDE3r17Gzz++OOPi+TkZL19GzZsEN7e3tLnPxZQa9euFf7+/kKn00nHNRqNsLOzE99++60QQggfHx8xZ86c2+bUUEF2tzy+/fZbYWlpKfLz86Xj33zzDYs7M5OVlSUAiAsXLtQ75uvrKzZt2qS378033xRhYWFCiPrF3dy5c0VERIRefH5+vgAgcnNzRWlpqVAqlVIxd6tbx2tsHmvWrBGurq6ivLxcOr569WoWd2S2rB58r5Do/unataveZ29vbxQVFQEAcnJy4OvrC19fX+l4YGAgnJ2dkZOTg169ejXqZ7i6umL8+PGIjIzE4MGDER4ejtGjR8Pb2xsAkJWVhcOHD0tTTQCg1WpRVVWFiooK2Nvb642XlZWFs2fPwtHRUW9/VVUVzp07h6KiIly5cgWDBg1q/BfRiDxycnLQunVrtGrVSjoeFhbWpJ9BD79u3bph0KBBCAoKQmRkJCIiIvDss8+itrYW+fn5iIuLQ3x8vBRfW1sLlUrV4FhZWVnYs2cPWrRoUe/YuXPncP36dWg0mib9t1xcXHzXPHJyctCtWze9P1v8b5nMGYs7MinW1tZ6nxUKBXQ6HQBACAGFQlHvnNvtv5N169YhISEBaWlp+Oyzz/D6669j586d6N27N3Q6HRYsWIBRo0bVO8/W1rbePp1Oh5CQEGzcuLHesZYtW8LC4t5ujb1bHqKBNw829Xugh5+lpSV27tyJAwcOID09HStXrsScOXOwfft2AEBKSgpCQ0PrndMQnU6H4cOHY/HixfWOeXt74/z5803O7+af3zvl0dB/y0TmjMUdmY3AwEBcunQJ+fn5Uvfu9OnTUKvVCAgIAADY2NhAq9U2arzg4GAEBwdj9uzZCAsLw6ZNm9C7d2/06NEDubm56NChQ6PG6dGjBz777DN4eHjAycmpwZi2bdti9+7dGDhwYIPHra2t6+V9tzxufh9XrlyBj48PAODgwYONyplMi0KhQN++fdG3b1/MmzcPbdq0wY8//ohHHnkE58+fx9ixYxs1To8ePbBlyxa0bdsWVlb1f734+fnBzs4Ou3fvxoQJE+odt7GxAQC9/5Y9PT3vmkdgYCA2bNiAyspK2NnZAQAyMjIalTORKeJqWTIb4eHh6Nq1K8aOHYujR48iMzMTL7zwAvr374+ePXsCqCui8vLykJ2djd9++w0ajabeOHl5eZg9ezYOHjyIixcvIj09HWfOnJEKxHnz5uFf//oXkpKScOrUKeTk5EjdvYaMHTsW7u7uGDFiBH744Qfk5eVh3759ePXVV3H58mUAdc/fW7JkCd5//3388ssvOHr0KFauXCmNcbP4KywsRElJSaPyCA8Ph7+/P1544QUcP34cP/zwA+bMmWO4L5weCocOHUJycjKOHDmCS5cu4YsvvkBxcTECAgKQlJSERYsWYcWKFThz5gx++uknrFu3DkuXLm1wrFdeeQXXrl3D888/j8zMTJw/fx7p6el48cUXodVqYWtri1mzZmHmzJn417/+hXPnziEjIwNr164FAHh4eMDOzg5paWm4evUq1Go1ANw1j5iYGFhYWCAuLg6nT5/Gjh078N577z2YL5DIGDXvLX9EhtO/f3/x6quv6u0bMWKEGDdunPT54sWLIjo6Wjg4OAhHR0fxpz/9SRQWFkrHq6qqxDPPPCOcnZ2lFai3KiwsFCNHjhTe3t7CxsZGtGnTRsybN09otVopJi0tTfTp00fY2dkJJycn8dhjj4mPPvpIOo5bFi0UFBSIF154Qbi7uwulUinat28v4uPjhVqtlmI+/PBD4e/vL6ytrYW3t7eYMmWKdOyrr74SHTp0EFZWVqJNmzaNziM3N1f069dP2NjYiI4dO4q0tDQuqDAzp0+fFpGRkaJly5ZCqVSKjh07ipUrV0rHN27cKLp37y5sbGyEi4uLeOKJJ8QXX3whhGh4AcSZM2fE008/LZydnYWdnZ3o1KmTSExMlBYMabVa8dZbb4k2bdoIa2tr0bp1a72FPykpKcLX11dYWFhIK9nvlocQQhw8eFB069ZN2NjYiO7du4stW7ZwQQWZLYUQvFmBiIiIyFRwWpaIiIjIhLC4IyIiIjIhLO6IiIiITAiLOyIiIiITwuKOiIiIyISwuCMiIiIyISzuiIiIiEwIizsiMjpJSUno3r279Hn8+PEYOXLkA8/jwoULUCgUyM7Ovm1M27ZtsXz58kaPmZqaCmdnZ9m5KRQKbNu2TfY4RGR6WNwRUaOMHz8eCoUCCoUC1tbWaN++PaZPn47y8vL7/rNXrFiB1NTURsU2piAjIjJl9d/sTER0G0OGDMG6detQU1ODH374ARMmTEB5eTlWr15dL7ampgbW1tYG+bkqlcog4xARmQN27oio0ZRKJby8vODr64uYmBiMHTtWmhq8OZX68ccfo3379lAqlRBCQK1WY+LEifDw8ICTkxOefPJJHD9+XG/ct99+G56ennB0dERcXByqqqr0jt86LavT6bB48WJ06NABSqUSrVu3xsKFCwEA7dq1AwAEBwdDoVBgwIAB0nnr1q1DQEAAbG1t0alTJ3zwwQd6PyczMxPBwcGwtbVFz549cezYsSZ/R0uXLkVQUBAcHBzg6+uLSZMmoaysrF7ctm3b0LFjR9ja2mLw4MHIz8/XO759+3aEhITA1tYW7du3x4IFC1BbW9vkfIjI/LC4I6J7Zmdnh5qaGunz2bNn8fnnn2PLli3StOiwYcNQWFiIHTt2ICsrCz169MCgQYNw7do1AMDnn3+O+fPnY+HChThy5Ai8vb3rFV23mj17NhYvXoy5c+fi9OnT2LRpEzw9PQHUFWgAsGvXLhQUFOCLL74AAKSkpGDOnDlYuHAhcnJykJycjLlz52L9+vUAgPLyckRFRcHf3x9ZWVlISkrC9OnTm/ydWFhY4P3338fJkyexfv16fPfdd5g5c6ZeTEVFBRYuXIj169fjxx9/RGlpKZ577jnp+Lfffos///nPSEhIwOnTp7FmzRqkpqZKBSwR0R0JIqJGGDdunBgxYoT0+dChQ8LNzU2MHj1aCCHE/PnzhbW1tSgqKpJidu/eLZycnERVVZXeWI8++qhYs2aNEEKIsLAw8fLLL+sdDw0NFd26dWvwZ5eWlgqlUilSUlIazDMvL08AEMeOHdPb7+vrKzZt2qS378033xRhYWFCCCHWrFkjXF1dRXl5uXR89erVDY71R23atBHLli277fHPP/9cuLm5SZ/XrVsnAIiMjAxpX05OjgAgDh06JIQQ4vHHHxfJycl642zYsEF4e3tLnwGIrVu33vbnEpH54j13RNRo//nPf9CiRQvU1taipqYGI0aMwMqVK6Xjbdq0QcuWLaXPWVlZKCsrg5ubm944lZWVOHfuHAAgJycHL7/8st7xsLAw7Nmzp8EccnJyoNFoMGjQoEbnXVxcjPz8fMTFxSE+Pl7aX1tbK93Pl5OTg27dusHe3l4vj6bas2cPkpOTcfr0aZSWlqK2thZVVVUoLy+Hg4MDAMDKygo9e/aUzunUqROcnZ2Rk5ODxx57DFlZWTh8+LBep06r1aKqqgoVFRV6ORIR3YrFHRE12sCBA7F69WpYW1vDx8en3oKJm8XLTTqdDt7e3ti7d2+9se71cSB2dnZNPken0wGom5oNDQ3VO2ZpaQkAEELcUz5/dPHiRTz11FN4+eWX8eabb8LV1RX79+9HXFyc3vQ1UPcok1vd3KfT6bBgwQKMGjWqXoytra3sPInItLG4I6JGc3BwQIcOHRod36NHDxQWFsLKygpt27ZtMCYgIAAZGRl44YUXpH0ZGRm3HdPPzw92dnbYvXs3JkyYUO+4jY0NgLpO102enp545JFHcP78eYwdO7bBcQMDA7FhwwZUVlZKBeSd8mjIkSNHUFtbiyVLlsDCou6W5s8//7xeXG1tLY4cOYLHHnsMAJCbm4vr16+jU6dOAOq+t9zc3CZ910REN7G4I6L7Jjw8HGFhYRg5ciQWL14Mf39/XLlyBTt27MDIkSPRs2dPvPrqqxg3bhx69uyJfv36YePGjTh16hTat2/f4Ji2traYNWsWZs6cCRsbG/Tt2xfFxcU4deoU4uLi4OHhATs7O6SlpaFVq1awtbWFSqVCUlISEhIS4OTkhKFDh0Kj0eDIkSMoKSnB1KlTERMTgzlz5iAuLg6vv/46Lly4gPfee69J1/voo4+itrYWK1euxPDhw/Hjjz/iww8/rBdnbW2NKVOm4P3334e1tTUmT56M3r17S8XevHnzEBUVBV9fX/zpT3+ChYUFTpw4gZ9++glvvfVW0/9FEJFZ4WpZIrpvFAoFduzYgSeeeAIvvvgiOnbsiOeeew4XLlyQVreOGTMG8+bNw6xZsxASEoKLFy/ir3/96x3HnTt3LqZNm4Z58+YhICAAY8aMQVFREYC6+9nef/99rFmzBj4+PhgxYgQAYMKECfjnP/+J1NRUBAUFoX///khNTZUendKiRQts374dp0+fRnBwMObMmYPFixc36Xq7d++OpUuXYvHixejSpQs2btyIRYsW1Yuzt7fHrFmzEBMTg7CwMNjZ2WHz5s3S8cjISPznP//Bzp070atXL/Tu3RtLly5FmzZtmpQPEZknhTDEjSZEREREZBTYuSMiIiIyISzuiIiIiEwIizsiIiIiE8LijoiIiMiEsLgjIiIiMiEs7oiIiIhMCIs7IiIiIhPC4o6IiIjIhLC4IyIiIjIhLO6IiIiITAiLOyIiIiITwuKOiIiIyIT8P77IlBG/+gxiAAAAAElFTkSuQmCC",
"text/plain": [
"<Figure size 1000x500 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import matplotlib.pyplot as plt\n",
"\n",
"from sklearn.metrics import ConfusionMatrixDisplay\n",
"target_names = (['not selected', 'selected'])\n",
"fig, ax = plt.subplots(figsize=(10, 5))\n",
"ConfusionMatrixDisplay.from_predictions(target_test, pred, ax=ax)\n",
"ax.xaxis.set_ticklabels(target_names)\n",
"ax.yaxis.set_ticklabels(target_names)"
]
},
{
"cell_type": "code",
"execution_count": 113,
"id": "5de06279-cdad-4eec-999c-2c51469760e2",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Confusion Matrix:\n",
"[[16597 1794]\n",
" [ 42 195]]\n",
"Accuracy: 0.9014386944384797\n",
"Precision: 0.09803921568627451\n",
"Recall: 0.8227848101265823\n",
"F1-Score: 0.1752021563342318\n",
"ROC AUC: 0.8626185482855194\n"
]
}
],
"source": [
"from sklearn.metrics import confusion_matrix, accuracy_score, precision_score, recall_score, f1_score, roc_curve, auc \n",
"\n",
"\n",
"# Confusion Matrix \n",
"cm = confusion_matrix(target_test, pred) \n",
"# Accuracy \n",
"accuracy = accuracy_score(target_test, pred) \n",
"# Precision \n",
"precision = precision_score(target_test, pred) \n",
"# Recall \n",
"recall = recall_score(target_test, pred) \n",
"# F1-Score \n",
"f1 = f1_score(target_test, pred) \n",
"# ROC Curve and AUC \n",
"fpr, tpr, thresholds = roc_curve(target_test, pred) \n",
"roc_auc = auc(fpr, tpr) \n",
" \n",
"print(\"Confusion Matrix:\") \n",
"print(cm) \n",
"print(\"Accuracy:\", accuracy) \n",
"print(\"Precision:\", precision) \n",
"print(\"Recall:\", recall) \n",
"print(\"F1-Score:\", f1) \n",
"print(\"ROC AUC:\", roc_auc) "
]
},
{
"cell_type": "markdown",
"id": "e7ddfb6c-62ea-4fc2-b6fe-2f0854267683",
"metadata": {},
"source": [
"### Distance and area as a way to find why?"
]
},
{
"cell_type": "code",
"execution_count": 114,
"id": "b33bfe2c-2506-4c89-bcb5-55498efcdc02",
"metadata": {},
"outputs": [],
"source": [
"def get_matched_distance(walk_id):\n",
" pois = [str(p) for p in list(walk_pois[walk_pois['walk_id'] == walk_id]['poi_id'])]\n",
" return {p:[osm_paths[osm_paths['poi_id'] == p].distance.min(), \n",
" osm_paths[osm_paths['poi_id'] == p].apply(lambda row: row['geometry_osm'].length, axis=1).max(),\n",
" osm_paths[osm_paths['poi_id'] == p].apply(lambda row: row['geometry_osm'].area, axis=1).max()\n",
" ] for p in pois if len(osm_paths[osm_paths['poi_id'] == p]) > 0} | \\\n",
" {p: [-1,-1,-1] for p in pois if len(osm_paths[osm_paths['poi_id'] == p]) == 0}\n",
"\n",
"def get_nearby_distance(walk_id):\n",
" pois = [str(p) for p in list(walk_pois[walk_pois['walk_id'] == walk_id]['poi_id'])]\n",
"\n",
" raw_nearby_pois = get_osm_pois_nearby(pois)\n",
" all_results = {}\n",
" for poi_key, raw_nearby_poi_list in raw_nearby_pois.items():\n",
" path_geometry = all_paths_projected[all_paths_projected['poi_id'] == str(poi_key)].geometry\n",
" raw_nearby_poi_list['geometry_path'] = raw_nearby_poi_list.apply(lambda row: path_geometry, axis=1)\n",
" raw_nearby_poi_list['distance'] = raw_nearby_poi_list.apply(lambda row: row['geometry'].distance(row['geometry_path']), axis=1)\n",
" info_list = raw_nearby_poi_list.to_dict(orient='records')\n",
" for info in info_list:\n",
" info_key = str(info['element_type']) + ':' + str(info['osmid'])\n",
" if info_key not in all_poi_matched:\n",
" all_results[info_key] = [info['distance'], info['geometry'].length, info['geometry'].area]\n",
" return all_results\n",
" "
]
},
{
"cell_type": "code",
"execution_count": 115,
"id": "c20a2539-f7c3-42fd-8c7a-94e4f163ae2e",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'160': [10.710262740263861, 6639.722879262644, 0.0],\n",
" '161': [0.0, 2418.670410630268, 0.0],\n",
" '162': [-1, -1, -1]}"
]
},
"execution_count": 115,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"get_matched_distance(10)"
]
},
{
"cell_type": "code",
"execution_count": 116,
"id": "b6d4cf8c-7c61-445b-a0cb-eab01d6a209c",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 41.68it/s]\n"
]
},
{
"data": {
"text/plain": [
"{'node:1918054390': [122.58308661341817, 0.0, 0.0],\n",
" 'node:3911734368': [136.3045307242034, 0.0, 0.0],\n",
" 'way:181376038': [0.0, 1946.747157128005, 0.0],\n",
" 'way:553347865': [78.87089906801054, 72.21029164616968, 0.0],\n",
" 'way:553347867': [86.10677173284593, 37.74399592681099, 0.0],\n",
" 'relation:11692961': [10.099379554248726,\n",
" 61466.484546383144,\n",
" 135754961.62676498],\n",
" 'relation:11693059': [0.0, 67726.82371314286, 135992996.2701828],\n",
" 'way:740156404': [0.0, 3504.4463912197507, 0.0],\n",
" 'relation:11692962': [0.0, 82675.91808444442, 197114486.85470042]}"
]
},
"execution_count": 116,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"get_nearby_distance(10)"
]
},
{
"cell_type": "code",
"execution_count": 117,
"id": "42d515ff-7a7b-486f-b7f7-bb293eeea600",
"metadata": {},
"outputs": [],
"source": [
"%%capture\n",
"import os\n",
"\n",
"selecteds_spatial = {}\n",
"ignored_spatial = {}\n",
"\n",
"if os.path.isfile('outputs/tmp/selecteds_spatial.json'):\n",
" with open('outputs/tmp/selecteds_spatial.json', encoding='utf-8') as fp:\n",
" selecteds_spatial = json.load(fp)\n",
"\n",
" with open('outputs/tmp/ignored_spatial.json', encoding='utf-8') as fp:\n",
" ignored_spatial = json.load(fp)\n",
"else:\n",
" for w_id in list(walk_pois['walk_id'].unique()):\n",
" logger.info(f'walk id: {w_id}')\n",
" selecteds_spatial = selecteds_spatial | get_matched_distance(w_id)\n",
" ignored_spatial = ignored_spatial | get_nearby_distance(w_id)\n",
" with open('outputs/tmp/selecteds_spatial.json', 'w', encoding='utf-8') as fp:\n",
" json.dump(selecteds_spatial, fp)\n",
"\n",
" with open('outputs/tmp/ignored_spatial.json', 'w', encoding='utf-8') as fp:\n",
" json.dump(ignored_spatial, fp)"
]
},
{
"cell_type": "code",
"execution_count": 118,
"id": "7f89d1ed-9bec-4c61-a618-e684c6b34c52",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"#selected: 2367 out of 4392 - #nearby: 183906 out of 184070\n"
]
}
],
"source": [
"selected_spatial_filtered = [selecteds_spatial[k] for k,v in selecteds.items() if len(v) > 10]\n",
"ignored_spatial_filtered = [ignored_spatial[k] for k,v in ignored.items() if len(v) > 10]\n",
"\n",
"print(f'#selected: {len(selected_spatial_filtered)} out of {len(selecteds_spatial)} - #nearby: {len(ignored_spatial_filtered)} out of {len(ignored_spatial)}')"
]
},
{
"cell_type": "code",
"execution_count": 119,
"id": "10bc593b-cec1-42a6-97bb-5e4a94ff28b4",
"metadata": {},
"outputs": [],
"source": [
"X = selected_spatial_filtered + ignored_spatial_filtered\n",
"y = [1 for s in selected_spatial_filtered] + [0 for i in ignored_spatial_filtered]"
]
},
{
"cell_type": "code",
"execution_count": 120,
"id": "5c264a79-b37a-40a1-935e-0c5b55556d3d",
"metadata": {},
"outputs": [],
"source": [
"from sklearn.model_selection import train_test_split\n",
"\n",
"data_train, data_test, target_train, target_test = train_test_split(X, y, test_size=0.1, random_state=432, stratify=y)"
]
},
{
"cell_type": "code",
"execution_count": 121,
"id": "e1dd7920-b44d-46a3-8bd2-b65b6508360b",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"['estimator', 'fit_time', 'score_time', 'test_score']"
]
},
"execution_count": 121,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from imblearn.pipeline import Pipeline\n",
"from imblearn.over_sampling import SMOTE\n",
"\n",
"sm = SMOTE(random_state=432)\n",
"X_res, y_res = sm.fit_resample(data_train, target_train)\n",
"\n",
"# from sklearn.linear_model import RidgeClassifier\n",
"from sklearn.ensemble import GradientBoostingClassifier\n",
"from sklearn.model_selection import cross_validate\n",
"\n",
"# clf = RidgeClassifier(tol=1e-2, solver=\"sparse_cg\")\n",
"clf = GradientBoostingClassifier(n_estimators=50, learning_rate=1.0, random_state=432)\n",
"cv_results = cross_validate(clf, X_res, y_res, cv=10, return_estimator=True)\n",
"\n",
"sorted(cv_results.keys())"
]
},
{
"cell_type": "code",
"execution_count": 122,
"id": "fd598bbd-9dcd-43cd-af94-df618f2babce",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array([0.86270127, 0.86091895, 0.86064707, 0.86088874, 0.8597106 ,\n",
" 0.86067728, 0.85989185, 0.85992206, 0.85430324, 0.86221793])"
]
},
"execution_count": 122,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"clf = cv_results['estimator'][cv_results['test_score'].argmax()]\n",
"cv_results['test_score']"
]
},
{
"cell_type": "code",
"execution_count": 123,
"id": "c6b33036-6b29-48a6-b730-f3a97fbe884b",
"metadata": {},
"outputs": [],
"source": [
"pred_spatial = clf.predict(data_test)"
]
},
{
"cell_type": "code",
"execution_count": 124,
"id": "ea0dfadf-725e-4871-8383-a6450b24bdc5",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[Text(0, 0, 'not selected'), Text(0, 1, 'selected')]"
]
},
"execution_count": 124,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 1000x500 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import matplotlib.pyplot as plt\n",
"\n",
"from sklearn.metrics import ConfusionMatrixDisplay\n",
"target_names = (['not selected', 'selected'])\n",
"fig, ax = plt.subplots(figsize=(10, 5))\n",
"ConfusionMatrixDisplay.from_predictions(target_test, pred_spatial, ax=ax)\n",
"ax.xaxis.set_ticklabels(target_names)\n",
"ax.yaxis.set_ticklabels(target_names)"
]
},
{
"cell_type": "code",
"execution_count": 125,
"id": "56e4bc45-67ff-4761-8e8b-e3219c4d0750",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Confusion Matrix:\n",
"[[15067 3324]\n",
" [ 39 198]]\n",
"Accuracy: 0.8194653210221172\n",
"Precision: 0.056218057921635436\n",
"Recall: 0.8354430379746836\n",
"F1-Score: 0.10534716679968077\n",
"ROC AUC: 0.8273512291716711\n"
]
}
],
"source": [
"from sklearn.metrics import confusion_matrix, accuracy_score, precision_score, recall_score, f1_score, roc_curve, auc \n",
"\n",
"\n",
"# Confusion Matrix \n",
"cm = confusion_matrix(target_test, pred_spatial) \n",
"# Accuracy \n",
"accuracy = accuracy_score(target_test, pred_spatial) \n",
"# Precision \n",
"precision = precision_score(target_test, pred_spatial) \n",
"# Recall \n",
"recall = recall_score(target_test, pred_spatial) \n",
"# F1-Score \n",
"f1 = f1_score(target_test, pred_spatial) \n",
"# ROC Curve and AUC \n",
"fpr, tpr, thresholds = roc_curve(target_test, pred_spatial) \n",
"roc_auc = auc(fpr, tpr) \n",
" \n",
"print(\"Confusion Matrix:\") \n",
"print(cm) \n",
"print(\"Accuracy:\", accuracy) \n",
"print(\"Precision:\", precision) \n",
"print(\"Recall:\", recall) \n",
"print(\"F1-Score:\", f1) \n",
"print(\"ROC AUC:\", roc_auc) "
]
},
{
"cell_type": "code",
"execution_count": 126,
"id": "060b3e6f-78c8-4571-bfe5-e056fe635673",
"metadata": {},
"outputs": [],
"source": [
"# todo - check if distance, area and length can define which POI suggestion is also spatially valid!"
]
},
{
"cell_type": "code",
"execution_count": 127,
"id": "281d07cb-f3e1-42f8-80ff-8ebed34e4697",
"metadata": {},
"outputs": [],
"source": [
"# combine pred and pred_spatial to form an ensemble model!"
]
},
{
"cell_type": "code",
"execution_count": 128,
"id": "7a897019-6601-4a9d-9fc9-792545f8dac1",
"metadata": {},
"outputs": [],
"source": [
"y_combined = [min(p, pred_spatial[idx]) for idx, p in enumerate(pred)]"
]
},
{
"cell_type": "code",
"execution_count": 129,
"id": "0386b331-4610-499f-9688-95ea907d9853",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[Text(0, 0, 'not selected'), Text(0, 1, 'selected')]"
]
},
"execution_count": 129,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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",
"text/plain": [
"<Figure size 1000x500 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import matplotlib.pyplot as plt\n",
"\n",
"from sklearn.metrics import ConfusionMatrixDisplay\n",
"target_names = (['not selected', 'selected'])\n",
"fig, ax = plt.subplots(figsize=(10, 5))\n",
"ConfusionMatrixDisplay.from_predictions(target_test, y_combined, ax=ax)\n",
"ax.xaxis.set_ticklabels(target_names)\n",
"ax.yaxis.set_ticklabels(target_names)"
]
},
{
"cell_type": "code",
"execution_count": 130,
"id": "69dad562-8895-46d1-8a8d-3a2a5f4d8cae",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Confusion Matrix:\n",
"[[18072 319]\n",
" [ 74 163]]\n",
"Accuracy: 0.9789027270775177\n",
"Precision: 0.3381742738589212\n",
"Recall: 0.6877637130801688\n",
"F1-Score: 0.4534075104311544\n",
"ROC AUC: 0.8352091361877382\n"
]
}
],
"source": [
"from sklearn.metrics import confusion_matrix, accuracy_score, precision_score, recall_score, f1_score, roc_curve, auc \n",
"\n",
"\n",
"# Confusion Matrix \n",
"cm = confusion_matrix(target_test, y_combined) \n",
"# Accuracy \n",
"accuracy = accuracy_score(target_test, y_combined) \n",
"# Precision \n",
"precision = precision_score(target_test, y_combined) \n",
"# Recall \n",
"recall = recall_score(target_test, y_combined) \n",
"# F1-Score \n",
"f1 = f1_score(target_test, y_combined) \n",
"# ROC Curve and AUC \n",
"fpr, tpr, thresholds = roc_curve(target_test, y_combined) \n",
"roc_auc = auc(fpr, tpr) \n",
" \n",
"print(\"Confusion Matrix:\") \n",
"print(cm) \n",
"print(\"Accuracy:\", accuracy) \n",
"print(\"Precision:\", precision) \n",
"print(\"Recall:\", recall) \n",
"print(\"F1-Score:\", f1) \n",
"print(\"ROC AUC:\", roc_auc) "
]
},
{
"cell_type": "code",
"execution_count": 131,
"id": "f9e11746-e169-4d48-8f8f-b7c450e52a90",
"metadata": {},
"outputs": [],
"source": [
"# add a detailed analysis of method"
]
},
{
"cell_type": "markdown",
"id": "8c24b3eb-2618-489d-955f-12581a9879a4",
"metadata": {},
"source": [
"## POI Classes: Word Clouds"
]
},
{
"cell_type": "code",
"execution_count": 19,
"id": "f0c82d5c-006a-478b-b76e-3f5c75326f7c",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array(['nature', 'activities', 'unknown', 'society', 'transport'],\n",
" dtype=object)"
]
},
"execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"poi_classified['Class'].unique()"
]
},
{
"cell_type": "code",
"execution_count": 20,
"id": "a3cb80e0-d646-4321-bc8a-26608549d991",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array(['natural landmarks', 'flora and funa', 'sport complexes',\n",
" 'fishing to surfing', 'unknown', 'art, history and culture',\n",
" 'trail-path-and-canal', 'picnic', 'human made landmarks',\n",
" 'food and beverage', 'lines and stations'], dtype=object)"
]
},
"execution_count": 20,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"poi_classified['Subclass'].unique()"
]
},
{
"cell_type": "code",
"execution_count": 21,
"id": "cdafb299-a7ef-454d-ae40-53337ef96300",
"metadata": {},
"outputs": [],
"source": [
"poi_classified_list = poi_classified.to_dict(orient='records')\n",
"class_texts = {'nature': [], 'activities': [], 'society': [], 'transport': []}\n",
"for row in poi_classified_list:\n",
" if row['Class'] in class_texts.keys():\n",
" class_texts[row['Class']].append(row['document'])\n",
"\n",
"class_texts = {k:' '.join(v) for k,v in class_texts.items()}"
]
},
{
"cell_type": "code",
"execution_count": 22,
"id": "72687f0a-aebd-4df3-a7d3-2c756aafac64",
"metadata": {},
"outputs": [],
"source": [
"from wordcloud import WordCloud, STOPWORDS\n",
"from PIL import Image\n",
"import matplotlib.pyplot as plt\n",
"from string import ascii_letters\n",
"\n",
"def range_alpha(start_letter, end_letter):\n",
" return ascii_letters[\n",
" ascii_letters.index(start_letter):ascii_letters.index(end_letter) + 1\n",
" ]\n",
"\n",
"ulset = range_alpha('a', 'Z')\n",
"\n",
"stopwords = set(STOPWORDS)\n",
"stopwords.update(['thi', 'ha', 'wa', 'along', 'walk', 'one', 'two', 'three'])\n",
"stopwords.update(ulset)\n",
"\n",
"def generate_wc(text, fig_location=None):\n",
" wordcloud_obj = WordCloud(stopwords=stopwords, background_color=\"white\", max_words=300).generate(text)\n",
" \n",
" plt.imshow(wordcloud_obj, interpolation='bilinear')\n",
" plt.axis(\"off\")\n",
" \n",
" if fig_location is not None:\n",
" plt.savefig(fig_location, bbox_inches='tight')\n",
" plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 23,
"id": "a6b44040-7334-413a-8235-b0b52911a3c6",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"generate_wc(class_texts['nature'], 'outputs/figure/nature_wc.png')"
]
},
{
"cell_type": "code",
"execution_count": 24,
"id": "333518ae-05b4-4a38-8750-63db8257d14c",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"generate_wc(class_texts['activities'], 'outputs/figure/activities_wc.png')"
]
},
{
"cell_type": "code",
"execution_count": 25,
"id": "f8ece177-eefd-41e9-be81-635757f3be72",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"generate_wc(class_texts['society'], 'outputs/figure/society_wc.png')"
]
},
{
"cell_type": "code",
"execution_count": 26,
"id": "61979569-75fe-4bf7-95db-7c9eb14bc53e",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"generate_wc(class_texts['transport'], 'outputs/figure/transport_wc.png')"
]
},
{
"cell_type": "code",
"execution_count": 45,
"id": "e8009c29-5f39-412b-8091-756ca316af6c",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[('view', 281),\n",
" ('tree', 224),\n",
" ('bird', 183),\n",
" ('lake', 182),\n",
" ('river', 165),\n",
" ('beach', 161),\n",
" ('creek', 154),\n",
" ('path', 148),\n",
" ('see', 130),\n",
" ('track', 116),\n",
" ('spot', 111)]"
]
},
"execution_count": 45,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from collections import Counter\n",
"import re\n",
"\n",
"# word counts\n",
"def word_count(text):\n",
" words = re.findall(r'\\w+', text.lower())\n",
" most_commons = [f for f in Counter(words).most_common(100) if f[0] not in stopwords]\n",
" return most_commons[:10]\n",
"\n",
"word_count(class_texts['nature'])"
]
},
{
"cell_type": "code",
"execution_count": 46,
"id": "fca63966-6188-42e1-ab84-732a19552be1",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[('st', 150),\n",
" ('garden', 147),\n",
" ('building', 143),\n",
" ('built', 124),\n",
" ('centre', 117),\n",
" ('art', 114),\n",
" ('church', 103),\n",
" ('street', 81),\n",
" ('memorial', 78),\n",
" ('community', 77),\n",
" ('school', 77)]"
]
},
"execution_count": 46,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"word_count(class_texts['society'])"
]
},
{
"cell_type": "code",
"execution_count": 43,
"id": "dfd64536-9c74-47d7-b6fc-7a65d5b9313a",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[('park', 307),\n",
" ('playground', 208),\n",
" ('picnic', 164),\n",
" ('area', 151),\n",
" ('bbq', 120),\n",
" ('spot', 102),\n",
" ('river', 101),\n",
" ('great', 95),\n",
" ('place', 86),\n",
" ('club', 83)]"
]
},
"execution_count": 43,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"word_count(class_texts['activities'])"
]
},
{
"cell_type": "code",
"execution_count": 44,
"id": "e519baa4-736b-42a9-b31c-1f32d8696a06",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[('bridge', 232),\n",
" ('track', 157),\n",
" ('path', 107),\n",
" ('station', 89),\n",
" ('walking', 83),\n",
" ('railway', 66),\n",
" ('start', 57),\n",
" ('street', 51),\n",
" ('boardwalk', 49),\n",
" ('park', 47)]"
]
},
"execution_count": 44,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"word_count(class_texts['transport'])"
]
},
{
"cell_type": "markdown",
"id": "3e64e5f3-47ac-4cbb-9906-3ece90ea0d67",
"metadata": {},
"source": [
"## How many walks include each class, subclass of POIs"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "b3cecc0c-4313-4951-866c-dac469938ce9",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'index': 0,\n",
" 'record_id': 1,\n",
" 'record_title': 'Fairhaven to Aireys Inlet Walk created by tedmcrae',\n",
" 'record_description': 'Apart from the points of interested listed, here are a few things to keep in mind when taking this walk. 1. Crossing the Great Ocean Road, particularly during summer can be a little perilous. The speed restriction is lowered to 60 kms between November to April. 2. Dogs are prohibited on the beach between December and April. However, this is not well policed by the Surf Coast Shire. Dogs off leash often jump on unsuspecting walkers. 3. Horses on the beach. During the busy summer months, a local horse riding company allows tourists to take horses on the beach to canter. These are inexperienced riders. The horses also defecate so there is a need to be mindful where you step after they have been on the beach.',\n",
" 'poi_title': 'Fairhaven Surf Life Saving Club',\n",
" 'poi_summary': 'Fairhaven is a well known surf beach. The beach is patrolled during December to the Easter. The Fairhaven SLSC was established in 1958.',\n",
" 'latitude': -38.46875894,\n",
" 'longitude': 144.08445884,\n",
" 'geometry': <POINT (144.084 -38.469)>,\n",
" 'Unnamed: 0': 0,\n",
" 'topic': 2,\n",
" 'document': 'Surf Life Saving Club: is a well known surf beach. The beach is patrolled ng December to the Easter. The SLSC wa established in .',\n",
" 'is_found': False,\n",
" 'class': nan,\n",
" 'Count': 148,\n",
" 'Name': '2_beach_bay_sand_tide',\n",
" 'Representation': \"['beach', 'bay', 'sand', 'tide', 'coastal', 'coast', 'patrolled', 'surf', 'foreshore', 'bathing']\",\n",
" 'Representative_Docs': \"['Apollo Bay beach: The beach is most sheltered nearer the harbmy and the swell get bigger as you walk along the bay. It is a great beach for swimming, body surfing, surfing and flying kite (it can get very ).', 'Coastal walking path: The narrow unsealed coast walking path run llel with Beach Road wng it way through coastal heathland with elevated view out over the Bay and beach to the .', 'Beach walkers: If the tide is out, walking along the beach provide a lovely cool breeze in the summer. As you walk there are shell to discover, bird to spot, and view of the CBD acros the bay.']\",\n",
" 'Class ID': 0,\n",
" 'Class': 'nature',\n",
" 'Subclass': 'natural landmarks'}"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"detailed_list = detailed_df.to_dict(orient='records')\n",
"detailed_list[0]"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "f7e838b3-6140-43c6-a878-62b6667d3396",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
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" 2: {'class': ['society',\n",
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" 'picnic',\n",
" 'natural landmarks',\n",
" 'picnic',\n",
" 'trail-path-and-canal',\n",
" 'flora and funa',\n",
" 'lines and stations',\n",
" 'picnic',\n",
" 'natural landmarks',\n",
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" 'fishing to surfing',\n",
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" 'fishing to surfing',\n",
" 'flora and funa',\n",
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" 'natural landmarks',\n",
" 'natural landmarks',\n",
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" 'natural landmarks'],\n",
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" 7: {'class': ['nature',\n",
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" 'natural landmarks',\n",
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" 'trail-path-and-canal'],\n",
" 'topic': [54, 1, 1, 0, 34, 1, 15, 18, 0]},\n",
" 8: {'class': ['activities',\n",
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" 'subclass': ['sport complexes',\n",
" 'flora and funa',\n",
" 'picnic',\n",
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" 'trail-path-and-canal',\n",
" 'fishing to surfing',\n",
" 'fishing to surfing',\n",
" 'picnic',\n",
" 'fishing to surfing'],\n",
" 'topic': [28, 63, 15, 3, 4, 42, 50, 6, 50]},\n",
" 9: {'class': ['activities',\n",
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" 'fishing to surfing',\n",
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" 'natural landmarks',\n",
" 'art, history and culture',\n",
" 'food and beverage'],\n",
" 'topic': [6, 41, 36, 1, 35, 42, 2, 10, 3]},\n",
" 10: {'class': ['nature', 'nature', 'nature'],\n",
" 'subclass': ['natural landmarks', 'natural landmarks', 'natural landmarks'],\n",
" 'topic': [30, 12, 30]},\n",
" 11: {'class': ['nature',\n",
" 'nature',\n",
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" 'nature',\n",
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" 'flora and funa'],\n",
" 'topic': [5, 5, 24, 45, 45, 57, 45]},\n",
" 12: {'class': ['activities', 'activities', 'activities', 'nature', 'society'],\n",
" 'subclass': ['food and beverage',\n",
" 'sport complexes',\n",
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" 13: {'class': ['society',\n",
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" 14: {'class': ['activities',\n",
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" 'topic': [3, 33, 1, 1, 68, 51, 1, 1, 14, 1, 43, 1, 1]},\n",
" 15: {'class': ['nature',\n",
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" 'topic': [30, 6, 0, 36, 14, 27, 19, 51, 10, 19, 51, 28, 6, 51, 52]},\n",
" 16: {'class': ['nature',\n",
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" 'flora and funa',\n",
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" 'trail-path-and-canal'],\n",
" 'topic': [9, 2, 2, 2, 3, 2, 43, 43, 5, 16, 43, 1, 43, 0]},\n",
" 17: {'class': ['society',\n",
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" 'subclass': ['art, history and culture',\n",
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" 18: {'class': ['society',\n",
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" 'art, history and culture',\n",
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" 'flora and funa',\n",
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" 'topic': [7, 6, 46, 28, 50, 6, 16, 72, 73, 46, 46, 1, 4]},\n",
" 19: {'class': ['transport',\n",
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" 'topic': [4, 0, 2, 2, 5, 39, 38, 2, 0, 54, 26, 38, 2, 2, 2]},\n",
" 20: {'class': ['transport',\n",
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" 21: {'class': ['society',\n",
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" 86: {'class': ['society',\n",
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" 112: {'class': ['society',\n",
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" 115: {'class': ['nature', 'nature', 'nature', 'nature', 'nature'],\n",
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" 116: {'class': ['nature',\n",
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" 117: {'class': ['society',\n",
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" 118: {'class': ['society',\n",
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" 119: {'class': ['activities',\n",
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" 120: {'class': ['nature', 'nature', 'nature', 'nature', 'nature'],\n",
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" 121: {'class': ['activities', 'unknown', 'nature', 'activities', 'nature'],\n",
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" 122: {'class': ['activities',\n",
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" 123: {'class': ['unknown',\n",
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" 124: {'class': ['activities',\n",
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" 125: {'class': ['activities',\n",
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" 126: {'class': ['activities',\n",
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" 127: {'class': ['nature',\n",
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" 128: {'class': ['transport',\n",
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" 129: {'class': ['unknown',\n",
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" 130: {'class': ['unknown',\n",
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" 131: {'class': ['society',\n",
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" 137: {'class': ['nature',\n",
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" 138: {'class': ['society',\n",
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" 139: {'class': ['society', 'nature', 'society', 'unknown'],\n",
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" 141: {'class': ['society',\n",
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" 143: {'class': ['society',\n",
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" 144: {'class': ['society',\n",
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" 145: {'class': ['society',\n",
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" 146: {'class': ['society',\n",
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" 147: {'class': ['society', 'nature', 'transport', 'society'],\n",
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" 148: {'class': ['transport',\n",
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" 149: {'class': ['activities',\n",
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" 150: {'class': ['transport',\n",
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" 151: {'class': ['society',\n",
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" 152: {'class': ['society',\n",
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" 153: {'class': ['transport',\n",
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" 154: {'class': ['activities',\n",
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" 155: {'class': ['society',\n",
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" 156: {'class': ['nature',\n",
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" 157: {'class': ['society',\n",
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" 158: {'class': ['nature', 'nature', 'activities', 'unknown', 'society'],\n",
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" 159: {'class': ['society', 'society', 'nature'],\n",
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" 160: {'class': ['activities',\n",
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" 161: {'class': ['transport',\n",
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" 162: {'class': ['activities', 'nature', 'nature'],\n",
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" 163: {'class': ['nature',\n",
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" 164: {'class': ['nature',\n",
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" 'natural landmarks',\n",
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" 165: {'class': ['society',\n",
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" 166: {'class': ['transport',\n",
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" 167: {'class': ['nature',\n",
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" 168: {'class': ['activities', 'activities', 'activities', 'activities'],\n",
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" 169: {'class': ['unknown', 'transport', 'transport', 'activities'],\n",
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" 170: {'class': ['activities',\n",
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" 171: {'class': ['nature',\n",
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" 172: {'class': ['nature', 'activities', 'activities', 'nature', 'activities'],\n",
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" 173: {'class': ['activities',\n",
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" 174: {'class': ['society', 'activities', 'activities'],\n",
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" 175: {'class': ['society',\n",
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" 176: {'class': ['society',\n",
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" 177: {'class': ['nature',\n",
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" 178: {'class': ['nature',\n",
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" 179: {'class': ['transport',\n",
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" 180: {'class': ['society',\n",
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" 181: {'class': ['society',\n",
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" 182: {'class': ['transport',\n",
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" 183: {'class': ['society',\n",
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" 'topic': [37, 15, 2, 60, 2, 1, 2, 2, 2, 2, 9]},\n",
" 184: {'class': ['nature',\n",
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" 185: {'class': ['society',\n",
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" 186: {'class': ['activities',\n",
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" 187: {'class': ['transport',\n",
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" 188: {'class': ['transport', 'transport', 'nature', 'transport'],\n",
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" 189: {'class': ['nature', 'nature', 'nature', 'nature'],\n",
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" 190: {'class': ['nature', 'activities', 'nature'],\n",
" 'subclass': ['flora and funa', 'fishing to surfing', 'natural landmarks'],\n",
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" 191: {'class': ['activities',\n",
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" 192: {'class': ['nature',\n",
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" 193: {'class': ['activities',\n",
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" 194: {'class': ['activities',\n",
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" 195: {'class': ['nature',\n",
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" 'food and beverage',\n",
" 'flora and funa',\n",
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" 'topic': [45, 14, 28, 15, 16, 3, 43, 66, 43]},\n",
" 196: {'class': ['transport', 'transport', 'activities', 'society'],\n",
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" 197: {'class': ['society',\n",
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" 198: {'class': ['unknown',\n",
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" 200: {'class': ['nature',\n",
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" 201: {'class': ['nature',\n",
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" 202: {'class': ['transport', 'activities', 'society', 'nature'],\n",
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" 204: {'class': ['society',\n",
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" 206: {'class': ['society',\n",
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" 207: {'class': ['activities',\n",
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" 208: {'class': ['nature', 'nature', 'nature', 'nature', 'activities'],\n",
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" 'flora and funa',\n",
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" 209: {'class': ['nature',\n",
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" 210: {'class': ['activities', 'unknown', 'nature', 'nature', 'unknown'],\n",
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" 211: {'class': ['activities',\n",
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" 212: {'class': ['transport',\n",
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" 213: {'class': ['society',\n",
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" 214: {'class': ['society',\n",
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" 215: {'class': ['activities',\n",
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" 216: {'class': ['nature', 'activities', 'activities'],\n",
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" 217: {'class': ['activities',\n",
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" 218: {'class': ['activities',\n",
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" 219: {'class': ['nature',\n",
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" 220: {'class': ['society',\n",
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" 221: {'class': ['society',\n",
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" 222: {'class': ['society',\n",
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" 223: {'class': ['unknown',\n",
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" 224: {'class': ['nature', 'nature', 'nature', 'nature', 'nature', 'nature'],\n",
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" 225: {'class': ['society',\n",
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" 285: {'class': ['nature', 'activities', 'transport', 'nature', 'nature'],\n",
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" 286: {'class': ['nature',\n",
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" 287: {'class': ['nature',\n",
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" 294: {'class': ['activities',\n",
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" 295: {'class': ['society',\n",
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" 296: {'class': ['transport',\n",
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" 297: {'class': ['activities',\n",
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" 298: {'class': ['activities',\n",
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" 'natural landmarks',\n",
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" 299: {'class': ['society',\n",
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" 300: {'class': ['nature',\n",
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" 301: {'class': ['activities',\n",
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" 302: {'class': ['nature',\n",
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" 303: {'class': ['nature',\n",
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" 304: {'class': ['society',\n",
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" 305: {'class': ['society',\n",
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" 306: {'class': ['nature',\n",
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" 307: {'class': ['activities',\n",
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" 308: {'class': ['society',\n",
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" 309: {'class': ['society',\n",
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" 'topic': [10, 12, 12, 12, 30, 19, 38, 38]},\n",
" 310: {'class': ['nature', 'activities', 'nature', 'society'],\n",
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" 311: {'class': ['society',\n",
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" 312: {'class': ['nature',\n",
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" 313: {'class': ['transport',\n",
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" 314: {'class': ['activities',\n",
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" 315: {'class': ['nature', 'nature', 'activities', 'society', 'nature'],\n",
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" 316: {'class': ['nature',\n",
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" 317: {'class': ['nature',\n",
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" 318: {'class': ['society',\n",
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" 319: {'class': ['transport',\n",
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" 320: {'class': ['transport',\n",
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" 321: {'class': ['activities',\n",
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" 323: {'class': ['society',\n",
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" 324: {'class': ['transport',\n",
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" 325: {'class': ['transport',\n",
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" 326: {'class': ['society',\n",
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" 327: {'class': ['unknown',\n",
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" 328: {'class': ['activities',\n",
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" 329: {'class': ['transport',\n",
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" 330: {'class': ['activities',\n",
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" 331: {'class': ['nature', 'transport', 'nature'],\n",
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" 'natural landmarks'],\n",
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" 332: {'class': ['society',\n",
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" 'topic': [11, 1, 8, 8, 8, 9, 8, 8, 8, 8, 8, 8, 8]},\n",
" 333: {'class': ['activities',\n",
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" 'natural landmarks',\n",
" 'natural landmarks',\n",
" 'natural landmarks',\n",
" 'natural landmarks',\n",
" 'fishing to surfing'],\n",
" 'topic': [39, 7, 42, 39, 0, 2, 2, 2, 2, 50]},\n",
" 334: {'class': ['nature',\n",
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" 'natural landmarks',\n",
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" 'art, history and culture',\n",
" 'trail-path-and-canal'],\n",
" 'topic': [24, 4, 27, 34, 4, 20, 0]},\n",
" 335: {'class': ['activities',\n",
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" 'art, history and culture',\n",
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" 'topic': [39, 16, 39, 2, 2, 6, 2, 39, 35, 42, 16, 4, 2, 40, 20, 33]},\n",
" 336: {'class': ['society',\n",
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" 'picnic',\n",
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" 'topic': [25, 6, 7, 54, 33, 15, 60]},\n",
" 337: {'class': ['nature',\n",
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" 'art, history and culture'],\n",
" 'topic': [24, 53, 57, 11, 7, 25]},\n",
" 338: {'class': ['society',\n",
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" 339: {'class': ['transport',\n",
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" 'topic': [4, 1, 15, 6, 26, 4, 17]},\n",
" 340: {'class': ['activities',\n",
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" 341: {'class': ['nature',\n",
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" 342: {'class': ['nature',\n",
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" 'topic': [5, 5, 33, 33, 5, 5, 1, 33, 5]},\n",
" 343: {'class': ['nature',\n",
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" 344: {'class': ['unknown',\n",
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" 345: {'class': ['activities',\n",
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" 'topic': [58, 19, 45, 16, 38, 6, 23, 23]},\n",
" 346: {'class': ['transport',\n",
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" 'topic': [70, 19, 1, 37, 31, 25, 49, 1, 49, 0, 68, 1, 15, 28, 4]},\n",
" 347: {'class': ['transport',\n",
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" 348: {'class': ['activities',\n",
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" 349: {'class': ['activities',\n",
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" 350: {'class': ['transport', 'activities', 'nature', 'nature'],\n",
" 'subclass': ['trail-path-and-canal',\n",
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" 'topic': [0, 58, 14, 14]},\n",
" 351: {'class': ['society',\n",
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" 352: {'class': ['nature',\n",
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" 'human made landmarks',\n",
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" 353: {'class': ['unknown',\n",
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" 354: {'class': ['transport',\n",
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" 355: {'class': ['nature',\n",
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" 358: {'class': ['nature',\n",
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" 359: {'class': ['society', 'nature', 'nature', 'nature', 'activities'],\n",
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" 360: {'class': ['society', 'nature', 'transport', 'activities', 'nature'],\n",
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" 361: {'class': ['activities',\n",
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" 362: {'class': ['nature',\n",
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" 363: {'class': ['nature',\n",
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" 'trail-path-and-canal',\n",
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" 364: {'class': ['nature',\n",
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" 365: {'class': ['activities',\n",
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" 366: {'class': ['activities',\n",
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" 367: {'class': ['activities',\n",
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" 368: {'class': ['activities',\n",
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" 370: {'class': ['society',\n",
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" 371: {'class': ['society',\n",
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" 372: {'class': ['nature',\n",
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" 373: {'class': ['nature',\n",
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" 374: {'class': ['nature',\n",
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" 375: {'class': ['activities',\n",
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" 376: {'class': ['transport',\n",
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" 377: {'class': ['activities',\n",
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" 378: {'class': ['transport',\n",
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" 379: {'class': ['activities',\n",
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" 380: {'class': ['society',\n",
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" 382: {'class': ['unknown',\n",
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" 'natural landmarks',\n",
" 'sport complexes',\n",
" 'art, history and culture',\n",
" 'art, history and culture',\n",
" 'food and beverage',\n",
" 'food and beverage',\n",
" 'sport complexes'],\n",
" 'topic': [26, 12, 57, 22, 51, 3, 3, 57]},\n",
" 383: {'class': ['nature',\n",
" 'transport',\n",
" 'nature',\n",
" 'nature',\n",
" 'nature',\n",
" 'nature',\n",
" 'society',\n",
" 'society',\n",
" 'unknown',\n",
" 'nature',\n",
" 'nature'],\n",
" 'subclass': ['flora and funa',\n",
" 'trail-path-and-canal',\n",
" 'flora and funa',\n",
" 'flora and funa',\n",
" 'flora and funa',\n",
" 'flora and funa',\n",
" 'human made landmarks',\n",
" 'art, history and culture',\n",
" 'unknown',\n",
" 'flora and funa',\n",
" 'flora and funa'],\n",
" 'topic': [24, 0, 5, 17, 33, 1, 32, 40, 68, 43, 1]},\n",
" 384: {'class': ['transport',\n",
" 'transport',\n",
" 'unknown',\n",
" 'transport',\n",
" 'nature',\n",
" 'nature',\n",
" 'nature',\n",
" 'nature',\n",
" 'nature',\n",
" 'activities'],\n",
" 'subclass': ['trail-path-and-canal',\n",
" 'trail-path-and-canal',\n",
" 'unknown',\n",
" 'trail-path-and-canal',\n",
" 'flora and funa',\n",
" 'flora and funa',\n",
" 'flora and funa',\n",
" 'flora and funa',\n",
" 'natural landmarks',\n",
" 'picnic'],\n",
" 'topic': [0, 0, 36, 27, 1, 1, 1, 69, 14, 18]},\n",
" 385: {'class': ['activities',\n",
" 'society',\n",
" 'society',\n",
" 'society',\n",
" 'society',\n",
" 'society',\n",
" 'society',\n",
" 'society',\n",
" 'society'],\n",
" 'subclass': ['fishing to surfing',\n",
" 'art, history and culture',\n",
" 'art, history and culture',\n",
" 'art, history and culture',\n",
" 'art, history and culture',\n",
" 'art, history and culture',\n",
" 'art, history and culture',\n",
" 'art, history and culture',\n",
" 'human made landmarks'],\n",
" 'topic': [39, 29, 65, 37, 29, 37, 29, 22, 47]},\n",
" 386: {'class': ['activities',\n",
" 'transport',\n",
" 'unknown',\n",
" 'activities',\n",
" 'transport',\n",
" 'activities',\n",
" 'transport',\n",
" 'transport',\n",
" 'activities',\n",
" 'activities',\n",
" 'activities',\n",
" 'nature',\n",
" 'transport',\n",
" 'transport',\n",
" 'activities',\n",
" 'activities'],\n",
" 'subclass': ['picnic',\n",
" 'trail-path-and-canal',\n",
" 'unknown',\n",
" 'picnic',\n",
" 'trail-path-and-canal',\n",
" 'fishing to surfing',\n",
" 'trail-path-and-canal',\n",
" 'trail-path-and-canal',\n",
" 'picnic',\n",
" 'picnic',\n",
" 'picnic',\n",
" 'flora and funa',\n",
" 'trail-path-and-canal',\n",
" 'trail-path-and-canal',\n",
" 'picnic',\n",
" 'picnic'],\n",
" 'topic': [6, 0, 26, 21, 0, 50, 0, 0, 15, 18, 6, 5, 0, 0, 6, 18]}}"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"walk_info = {}\n",
"for poi_record in detailed_list:\n",
" walk_id = poi_record['record_id']\n",
" if walk_id not in walk_info.keys():\n",
" walk_info[walk_id] = {'class': [], 'subclass': [], 'topic': []}\n",
" walk_info[walk_id]['class'].append(poi_record['Class'])\n",
" walk_info[walk_id]['subclass'].append(poi_record['Subclass'])\n",
" walk_info[walk_id]['topic'].append(poi_record['topic'])\n",
"walk_info"
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "7ce18610-3947-40aa-b79b-6186da15e802",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'class': {'nature': 54.5,\n",
" 'activities': 18.2,\n",
" 'unknown': 9.1,\n",
" 'society': 9.1,\n",
" 'transport': 9.1},\n",
" 'subclass': {'natural landmarks': 45.5,\n",
" 'flora and funa': 9.1,\n",
" 'sport complexes': 9.1,\n",
" 'fishing to surfing': 9.1,\n",
" 'unknown': 9.1,\n",
" 'art, history and culture': 9.1,\n",
" 'trail-path-and-canal': 9.1},\n",
" 'topic': {2: 27.3,\n",
" 1: 9.1,\n",
" 23: 9.1,\n",
" 38: 9.1,\n",
" 28: 9.1,\n",
" 35: 9.1,\n",
" 68: 9.1,\n",
" 8: 9.1,\n",
" 0: 9.1}}"
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from collections import Counter\n",
"\n",
"\n",
"def count_and_prec(values):\n",
" values_cnt = Counter(values)\n",
" sum_values_cnt = sum(values_cnt.values())\n",
" return {k : round((v/sum_values_cnt)*100, 1) for k,v in values_cnt.items()}\n",
"\n",
"def compute_metrics(walk_info_record):\n",
" res = {}\n",
" for key, values in walk_info_record.items():\n",
" res[key] = count_and_prec(values)\n",
" return res\n",
"\n",
"\n",
"compute_metrics(walk_info[1])"
]
},
{
"cell_type": "code",
"execution_count": 15,
"id": "0e1f7171-fddc-4227-a599-ebd096859f20",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{1: {'class': {'nature': 54.5,\n",
" 'activities': 18.2,\n",
" 'unknown': 9.1,\n",
" 'society': 9.1,\n",
" 'transport': 9.1},\n",
" 'subclass': {'natural landmarks': 45.5,\n",
" 'flora and funa': 9.1,\n",
" 'sport complexes': 9.1,\n",
" 'fishing to surfing': 9.1,\n",
" 'unknown': 9.1,\n",
" 'art, history and culture': 9.1,\n",
" 'trail-path-and-canal': 9.1},\n",
" 'topic': {2: 27.3,\n",
" 1: 9.1,\n",
" 23: 9.1,\n",
" 38: 9.1,\n",
" 28: 9.1,\n",
" 35: 9.1,\n",
" 68: 9.1,\n",
" 8: 9.1,\n",
" 0: 9.1}},\n",
" 2: {'class': {'society': 81.8, 'activities': 18.2},\n",
" 'subclass': {'art, history and culture': 36.4,\n",
" 'picnic': 18.2,\n",
" 'human made landmarks': 45.5},\n",
" 'topic': {65: 4.5,\n",
" 31: 13.6,\n",
" 60: 13.6,\n",
" 10: 4.5,\n",
" 11: 22.7,\n",
" 8: 18.2,\n",
" 13: 4.5,\n",
" 7: 4.5,\n",
" 6: 4.5,\n",
" 48: 4.5,\n",
" 22: 4.5}},\n",
" 3: {'class': {'activities': 2.6,\n",
" 'unknown': 2.6,\n",
" 'transport': 2.6,\n",
" 'society': 89.5,\n",
" 'nature': 2.6},\n",
" 'subclass': {'fishing to surfing': 2.6,\n",
" 'unknown': 2.6,\n",
" 'trail-path-and-canal': 2.6,\n",
" 'art, history and culture': 76.3,\n",
" 'human made landmarks': 13.2,\n",
" 'natural landmarks': 2.6},\n",
" 'topic': {59: 2.6,\n",
" 68: 2.6,\n",
" 4: 2.6,\n",
" 10: 21.1,\n",
" 40: 5.3,\n",
" 32: 5.3,\n",
" 8: 31.6,\n",
" 12: 2.6,\n",
" 37: 7.9,\n",
" 44: 2.6,\n",
" 60: 2.6,\n",
" 11: 2.6,\n",
" 13: 10.5}},\n",
" 4: {'class': {'society': 26.1,\n",
" 'unknown': 4.3,\n",
" 'nature': 8.7,\n",
" 'activities': 39.1,\n",
" 'transport': 21.7},\n",
" 'subclass': {'art, history and culture': 21.7,\n",
" 'unknown': 4.3,\n",
" 'natural landmarks': 8.7,\n",
" 'human made landmarks': 4.3,\n",
" 'picnic': 17.4,\n",
" 'fishing to surfing': 4.3,\n",
" 'trail-path-and-canal': 21.7,\n",
" 'sport complexes': 17.4},\n",
" 'topic': {25: 4.3,\n",
" 51: 8.7,\n",
" 36: 4.3,\n",
" 23: 4.3,\n",
" 11: 4.3,\n",
" 6: 13.0,\n",
" 16: 4.3,\n",
" 71: 4.3,\n",
" 4: 21.7,\n",
" 34: 4.3,\n",
" 20: 4.3,\n",
" 46: 8.7,\n",
" 28: 8.7,\n",
" 65: 4.3}},\n",
" 5: {'class': {'society': 10.5,\n",
" 'activities': 26.3,\n",
" 'nature': 52.6,\n",
" 'transport': 10.5},\n",
" 'subclass': {'art, history and culture': 10.5,\n",
" 'food and beverage': 5.3,\n",
" 'natural landmarks': 42.1,\n",
" 'picnic': 21.1,\n",
" 'trail-path-and-canal': 5.3,\n",
" 'flora and funa': 10.5,\n",
" 'lines and stations': 5.3},\n",
" 'topic': {8: 5.3,\n",
" 3: 5.3,\n",
" 2: 26.3,\n",
" 19: 5.3,\n",
" 12: 10.5,\n",
" 31: 15.8,\n",
" 0: 5.3,\n",
" 1: 5.3,\n",
" 70: 5.3,\n",
" 45: 5.3,\n",
" 22: 5.3,\n",
" 21: 5.3}},\n",
" 6: {'class': {'transport': 15.0, 'nature': 65.0, 'activities': 20.0},\n",
" 'subclass': {'trail-path-and-canal': 15.0,\n",
" 'natural landmarks': 50.0,\n",
" 'flora and funa': 15.0,\n",
" 'fishing to surfing': 15.0,\n",
" 'picnic': 5.0},\n",
" 'topic': {27: 10.0,\n",
" 14: 5.0,\n",
" 0: 5.0,\n",
" 1: 10.0,\n",
" 42: 5.0,\n",
" 2: 35.0,\n",
" 35: 10.0,\n",
" 21: 5.0,\n",
" 12: 5.0,\n",
" 17: 5.0,\n",
" 38: 5.0}},\n",
" 7: {'class': {'nature': 55.6, 'transport': 22.2, 'activities': 22.2},\n",
" 'subclass': {'flora and funa': 44.4,\n",
" 'trail-path-and-canal': 22.2,\n",
" 'natural landmarks': 11.1,\n",
" 'picnic': 22.2},\n",
" 'topic': {54: 11.1, 1: 33.3, 0: 22.2, 34: 11.1, 15: 11.1, 18: 11.1}},\n",
" 8: {'class': {'activities': 77.8, 'nature': 11.1, 'transport': 11.1},\n",
" 'subclass': {'sport complexes': 11.1,\n",
" 'flora and funa': 11.1,\n",
" 'picnic': 22.2,\n",
" 'food and beverage': 11.1,\n",
" 'trail-path-and-canal': 11.1,\n",
" 'fishing to surfing': 33.3},\n",
" 'topic': {28: 11.1,\n",
" 63: 11.1,\n",
" 15: 11.1,\n",
" 3: 11.1,\n",
" 4: 11.1,\n",
" 42: 11.1,\n",
" 50: 22.2,\n",
" 6: 11.1}},\n",
" 9: {'class': {'activities': 55.6,\n",
" 'unknown': 11.1,\n",
" 'nature': 22.2,\n",
" 'society': 11.1},\n",
" 'subclass': {'picnic': 11.1,\n",
" 'sport complexes': 11.1,\n",
" 'unknown': 11.1,\n",
" 'flora and funa': 11.1,\n",
" 'fishing to surfing': 22.2,\n",
" 'natural landmarks': 11.1,\n",
" 'art, history and culture': 11.1,\n",
" 'food and beverage': 11.1},\n",
" 'topic': {6: 11.1,\n",
" 41: 11.1,\n",
" 36: 11.1,\n",
" 1: 11.1,\n",
" 35: 11.1,\n",
" 42: 11.1,\n",
" 2: 11.1,\n",
" 10: 11.1,\n",
" 3: 11.1}},\n",
" 10: {'class': {'nature': 100.0},\n",
" 'subclass': {'natural landmarks': 100.0},\n",
" 'topic': {30: 66.7, 12: 33.3}},\n",
" 11: {'class': {'nature': 85.7, 'activities': 14.3},\n",
" 'subclass': {'flora and funa': 85.7, 'sport complexes': 14.3},\n",
" 'topic': {5: 28.6, 24: 14.3, 45: 42.9, 57: 14.3}},\n",
" 12: {'class': {'activities': 60.0, 'nature': 20.0, 'society': 20.0},\n",
" 'subclass': {'food and beverage': 20.0,\n",
" 'sport complexes': 40.0,\n",
" 'flora and funa': 20.0,\n",
" 'human made landmarks': 20.0},\n",
" 'topic': {3: 20.0, 46: 20.0, 72: 20.0, 5: 20.0, 48: 20.0}},\n",
" 13: {'class': {'society': 94.3, 'nature': 2.9, 'activities': 2.9},\n",
" 'subclass': {'art, history and culture': 28.6,\n",
" 'human made landmarks': 65.7,\n",
" 'natural landmarks': 2.9,\n",
" 'picnic': 2.9},\n",
" 'topic': {8: 8.6,\n",
" 47: 34.3,\n",
" 10: 2.9,\n",
" 32: 8.6,\n",
" 7: 2.9,\n",
" 66: 2.9,\n",
" 60: 11.4,\n",
" 11: 8.6,\n",
" 13: 11.4,\n",
" 22: 2.9,\n",
" 31: 2.9,\n",
" 56: 2.9}},\n",
" 14: {'class': {'activities': 7.7,\n",
" 'nature': 76.9,\n",
" 'unknown': 7.7,\n",
" 'society': 7.7},\n",
" 'subclass': {'food and beverage': 7.7,\n",
" 'flora and funa': 69.2,\n",
" 'unknown': 7.7,\n",
" 'art, history and culture': 7.7,\n",
" 'natural landmarks': 7.7},\n",
" 'topic': {3: 7.7, 33: 7.7, 1: 53.8, 68: 7.7, 51: 7.7, 14: 7.7, 43: 7.7}},\n",
" 15: {'class': {'nature': 26.7,\n",
" 'activities': 20.0,\n",
" 'transport': 13.3,\n",
" 'unknown': 6.7,\n",
" 'society': 33.3},\n",
" 'subclass': {'natural landmarks': 26.7,\n",
" 'picnic': 13.3,\n",
" 'trail-path-and-canal': 13.3,\n",
" 'unknown': 6.7,\n",
" 'art, history and culture': 33.3,\n",
" 'sport complexes': 6.7},\n",
" 'topic': {30: 6.7,\n",
" 6: 13.3,\n",
" 0: 6.7,\n",
" 36: 6.7,\n",
" 14: 6.7,\n",
" 27: 6.7,\n",
" 19: 13.3,\n",
" 51: 20.0,\n",
" 10: 6.7,\n",
" 28: 6.7,\n",
" 52: 6.7}},\n",
" 16: {'class': {'nature': 78.6, 'activities': 14.3, 'transport': 7.1},\n",
" 'subclass': {'natural landmarks': 35.7,\n",
" 'food and beverage': 7.1,\n",
" 'flora and funa': 42.9,\n",
" 'picnic': 7.1,\n",
" 'trail-path-and-canal': 7.1},\n",
" 'topic': {9: 7.1,\n",
" 2: 28.6,\n",
" 3: 7.1,\n",
" 43: 28.6,\n",
" 5: 7.1,\n",
" 16: 7.1,\n",
" 1: 7.1,\n",
" 0: 7.1}},\n",
" 17: {'class': {'society': 54.5, 'activities': 36.4, 'unknown': 9.1},\n",
" 'subclass': {'art, history and culture': 45.5,\n",
" 'picnic': 9.1,\n",
" 'unknown': 9.1,\n",
" 'food and beverage': 27.3,\n",
" 'human made landmarks': 9.1},\n",
" 'topic': {22: 9.1,\n",
" 51: 9.1,\n",
" 20: 9.1,\n",
" 37: 9.1,\n",
" 21: 9.1,\n",
" 36: 9.1,\n",
" 3: 27.3,\n",
" 8: 9.1,\n",
" 11: 9.1}},\n",
" 18: {'class': {'society': 15.4,\n",
" 'activities': 69.2,\n",
" 'nature': 7.7,\n",
" 'transport': 7.7},\n",
" 'subclass': {'human made landmarks': 7.7,\n",
" 'picnic': 23.1,\n",
" 'sport complexes': 38.5,\n",
" 'fishing to surfing': 7.7,\n",
" 'art, history and culture': 7.7,\n",
" 'flora and funa': 7.7,\n",
" 'trail-path-and-canal': 7.7},\n",
" 'topic': {7: 7.7,\n",
" 6: 15.4,\n",
" 46: 23.1,\n",
" 28: 7.7,\n",
" 50: 7.7,\n",
" 16: 7.7,\n",
" 72: 7.7,\n",
" 73: 7.7,\n",
" 1: 7.7,\n",
" 4: 7.7}},\n",
" 19: {'class': {'transport': 20.0,\n",
" 'nature': 66.7,\n",
" 'activities': 6.7,\n",
" 'unknown': 6.7},\n",
" 'subclass': {'trail-path-and-canal': 20.0,\n",
" 'natural landmarks': 53.3,\n",
" 'flora and funa': 13.3,\n",
" 'fishing to surfing': 6.7,\n",
" 'unknown': 6.7},\n",
" 'topic': {4: 6.7,\n",
" 0: 13.3,\n",
" 2: 40.0,\n",
" 5: 6.7,\n",
" 39: 6.7,\n",
" 38: 13.3,\n",
" 54: 6.7,\n",
" 26: 6.7}},\n",
" 20: {'class': {'transport': 12.5, 'nature': 87.5},\n",
" 'subclass': {'trail-path-and-canal': 12.5,\n",
" 'flora and funa': 37.5,\n",
" 'natural landmarks': 50.0},\n",
" 'topic': {0: 12.5, 17: 25.0, 43: 12.5, 2: 50.0}},\n",
" 21: {'class': {'society': 70.0, 'nature': 20.0, 'activities': 10.0},\n",
" 'subclass': {'art, history and culture': 65.0,\n",
" 'flora and funa': 10.0,\n",
" 'human made landmarks': 5.0,\n",
" 'food and beverage': 5.0,\n",
" 'natural landmarks': 10.0,\n",
" 'fishing to surfing': 5.0},\n",
" 'topic': {22: 40.0,\n",
" 29: 15.0,\n",
" 17: 5.0,\n",
" 5: 5.0,\n",
" 51: 10.0,\n",
" 48: 5.0,\n",
" 3: 5.0,\n",
" 38: 5.0,\n",
" 14: 5.0,\n",
" 39: 5.0}},\n",
" 22: {'class': {'nature': 66.7, 'transport': 22.2, 'activities': 11.1},\n",
" 'subclass': {'flora and funa': 11.1,\n",
" 'natural landmarks': 55.6,\n",
" 'trail-path-and-canal': 22.2,\n",
" 'picnic': 11.1},\n",
" 'topic': {17: 5.6,\n",
" 9: 5.6,\n",
" 0: 22.2,\n",
" 1: 5.6,\n",
" 2: 38.9,\n",
" 21: 5.6,\n",
" 23: 5.6,\n",
" 16: 5.6,\n",
" 19: 5.6}},\n",
" 23: {'class': {'activities': 27.3,\n",
" 'transport': 13.6,\n",
" 'society': 18.2,\n",
" 'nature': 40.9},\n",
" 'subclass': {'sport complexes': 9.1,\n",
" 'trail-path-and-canal': 9.1,\n",
" 'art, history and culture': 18.2,\n",
" 'picnic': 18.2,\n",
" 'flora and funa': 40.9,\n",
" 'lines and stations': 4.5},\n",
" 'topic': {57: 4.5,\n",
" 0: 9.1,\n",
" 22: 4.5,\n",
" 29: 4.5,\n",
" 6: 4.5,\n",
" 5: 4.5,\n",
" 46: 4.5,\n",
" 45: 9.1,\n",
" 21: 4.5,\n",
" 31: 4.5,\n",
" 24: 9.1,\n",
" 53: 4.5,\n",
" 17: 13.6,\n",
" 52: 4.5,\n",
" 49: 4.5,\n",
" 1: 4.5,\n",
" 40: 4.5}},\n",
" 24: {'class': {'transport': 18.2,\n",
" 'nature': 18.2,\n",
" 'society': 14.5,\n",
" 'activities': 40.0,\n",
" 'unknown': 9.1},\n",
" 'subclass': {'trail-path-and-canal': 18.2,\n",
" 'natural landmarks': 7.3,\n",
" 'art, history and culture': 12.7,\n",
" 'flora and funa': 10.9,\n",
" 'picnic': 25.5,\n",
" 'unknown': 9.1,\n",
" 'sport complexes': 10.9,\n",
" 'fishing to surfing': 1.8,\n",
" 'food and beverage': 1.8,\n",
" 'human made landmarks': 1.8},\n",
" 'topic': {0: 10.9,\n",
" 9: 1.8,\n",
" 8: 1.8,\n",
" 30: 1.8,\n",
" 1: 3.6,\n",
" 18: 10.9,\n",
" 24: 5.5,\n",
" 68: 5.5,\n",
" 23: 1.8,\n",
" 49: 1.8,\n",
" 40: 1.8,\n",
" 36: 1.8,\n",
" 58: 7.3,\n",
" 26: 1.8,\n",
" 51: 1.8,\n",
" 59: 1.8,\n",
" 66: 1.8,\n",
" 52: 1.8,\n",
" 69: 1.8,\n",
" 4: 7.3,\n",
" 15: 3.6,\n",
" 6: 3.6,\n",
" 10: 3.6,\n",
" 20: 1.8,\n",
" 31: 3.6,\n",
" 21: 1.8,\n",
" 3: 1.8,\n",
" 44: 1.8,\n",
" 67: 3.6}},\n",
" 25: {'class': {'society': 100.0},\n",
" 'subclass': {'art, history and culture': 83.3, 'human made landmarks': 16.7},\n",
" 'topic': {8: 41.7, 13: 33.3, 60: 8.3, 44: 8.3, 56: 8.3}},\n",
" 26: {'class': {'transport': 33.3,\n",
" 'nature': 33.3,\n",
" 'activities': 26.7,\n",
" 'unknown': 6.7},\n",
" 'subclass': {'trail-path-and-canal': 33.3,\n",
" 'natural landmarks': 6.7,\n",
" 'fishing to surfing': 13.3,\n",
" 'flora and funa': 26.7,\n",
" 'food and beverage': 6.7,\n",
" 'unknown': 6.7,\n",
" 'picnic': 6.7},\n",
" 'topic': {27: 13.3,\n",
" 14: 6.7,\n",
" 71: 6.7,\n",
" 1: 20.0,\n",
" 3: 6.7,\n",
" 43: 6.7,\n",
" 55: 6.7,\n",
" 26: 6.7,\n",
" 16: 6.7,\n",
" 4: 13.3,\n",
" 0: 6.7}},\n",
" 27: {'class': {'activities': 15.4, 'nature': 69.2, 'transport': 15.4},\n",
" 'subclass': {'picnic': 7.7,\n",
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" 70: {'class': {'transport': 42.9, 'activities': 14.3, 'nature': 42.9},\n",
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" 78: {'class': {'society': 25.0, 'nature': 62.5, 'activities': 12.5},\n",
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" 98: {'class': {'nature': 72.7, 'society': 9.1, 'transport': 18.2},\n",
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" 100: {'class': {'transport': 9.1, 'nature': 72.7, 'activities': 18.2},\n",
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" 101: {'class': {'society': 57.1, 'activities': 42.9},\n",
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" 104: {'class': {'transport': 55.6, 'nature': 22.2, 'activities': 22.2},\n",
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" 105: {'class': {'society': 37.5, 'nature': 25.0, 'activities': 37.5},\n",
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" 109: {'class': {'nature': 50.0,\n",
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" 110: {'class': {'transport': 30.0, 'nature': 60.0, 'activities': 10.0},\n",
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" 111: {'class': {'nature': 72.7, 'transport': 18.2, 'activities': 9.1},\n",
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" 113: {'class': {'nature': 8.3,\n",
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" 116: {'class': {'nature': 33.3,\n",
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" 118: {'class': {'society': 50.0, 'nature': 33.3, 'transport': 16.7},\n",
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" 119: {'class': {'activities': 25.0, 'transport': 12.5, 'nature': 62.5},\n",
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" 120: {'class': {'nature': 100.0},\n",
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" 121: {'class': {'activities': 40.0, 'unknown': 20.0, 'nature': 40.0},\n",
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" 122: {'class': {'activities': 28.6, 'society': 14.3, 'nature': 57.1},\n",
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" 123: {'class': {'unknown': 14.3, 'society': 71.4, 'nature': 14.3},\n",
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" 124: {'class': {'activities': 20.0,\n",
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" 126: {'class': {'activities': 91.7, 'nature': 8.3},\n",
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" 127: {'class': {'nature': 60.0, 'transport': 20.0, 'activities': 20.0},\n",
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" 128: {'class': {'transport': 50.0, 'nature': 37.5, 'activities': 12.5},\n",
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" 129: {'class': {'unknown': 41.7,\n",
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" 136: {'class': {'activities': 28.6, 'nature': 42.9, 'unknown': 28.6},\n",
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" 137: {'class': {'nature': 50.0, 'activities': 40.0, 'society': 10.0},\n",
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" 138: {'class': {'society': 22.2, 'nature': 66.7, 'transport': 11.1},\n",
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" 139: {'class': {'society': 50.0, 'nature': 25.0, 'unknown': 25.0},\n",
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" 140: {'class': {'society': 12.5,\n",
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" 142: {'class': {'activities': 57.1, 'nature': 14.3, 'society': 28.6},\n",
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" 145: {'class': {'society': 66.7, 'nature': 22.2, 'activities': 11.1},\n",
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" 146: {'class': {'society': 83.3, 'activities': 16.7},\n",
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" 147: {'class': {'society': 50.0, 'nature': 25.0, 'transport': 25.0},\n",
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" 151: {'class': {'society': 25.0, 'nature': 62.5, 'activities': 12.5},\n",
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" 152: {'class': {'society': 20.0, 'nature': 70.0, 'transport': 10.0},\n",
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" 155: {'class': {'society': 57.9,\n",
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" 156: {'class': {'nature': 80.0, 'transport': 10.0, 'activities': 10.0},\n",
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" 157: {'class': {'society': 50.0,\n",
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" 158: {'class': {'nature': 40.0,\n",
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" 159: {'class': {'society': 66.7, 'nature': 33.3},\n",
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" 160: {'class': {'activities': 45.5,\n",
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" 'topic': {16: 27.3, 68: 9.1, 19: 9.1, 0: 9.1, 5: 18.2, 12: 9.1, 50: 18.2}},\n",
" 161: {'class': {'transport': 50.0, 'nature': 37.5, 'activities': 12.5},\n",
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" 162: {'class': {'activities': 33.3, 'nature': 66.7},\n",
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" 'topic': {16: 33.3, 64: 33.3, 30: 33.3}},\n",
" 163: {'class': {'nature': 100.0},\n",
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" 'topic': {54: 14.3, 19: 42.9, 9: 28.6, 66: 14.3}},\n",
" 164: {'class': {'nature': 55.6, 'activities': 22.2, 'transport': 22.2},\n",
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" 165: {'class': {'society': 14.3,\n",
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" 166: {'class': {'transport': 21.4,\n",
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" 167: {'class': {'nature': 77.8, 'transport': 11.1, 'unknown': 11.1},\n",
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" 168: {'class': {'activities': 100.0},\n",
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" 169: {'class': {'unknown': 25.0, 'transport': 50.0, 'activities': 25.0},\n",
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" 170: {'class': {'activities': 6.2,\n",
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" 171: {'class': {'nature': 42.9,\n",
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" 172: {'class': {'nature': 40.0, 'activities': 60.0},\n",
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" 173: {'class': {'activities': 50.0,\n",
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" 'topic': {18: 16.7, 53: 16.7, 36: 16.7, 40: 16.7, 39: 16.7, 3: 16.7}},\n",
" 174: {'class': {'society': 33.3, 'activities': 66.7},\n",
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" 175: {'class': {'society': 50.0, 'activities': 33.3, 'nature': 16.7},\n",
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" 176: {'class': {'society': 28.6, 'nature': 57.1, 'activities': 14.3},\n",
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" 177: {'class': {'nature': 46.2, 'activities': 15.4, 'society': 38.5},\n",
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" 178: {'class': {'nature': 69.2,\n",
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" 179: {'class': {'transport': 14.3,\n",
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" 180: {'class': {'society': 85.0, 'activities': 15.0},\n",
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" 181: {'class': {'society': 87.5, 'activities': 12.5},\n",
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" 182: {'class': {'transport': 25.0,\n",
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" 'topic': {4: 25.0, 34: 37.5, 31: 12.5, 28: 12.5, 7: 12.5}},\n",
" 183: {'class': {'society': 18.2, 'activities': 9.1, 'nature': 72.7},\n",
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" 184: {'class': {'nature': 43.8,\n",
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" 185: {'class': {'society': 62.5, 'activities': 37.5},\n",
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" 186: {'class': {'activities': 43.8, 'nature': 50.0, 'unknown': 6.2},\n",
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" 187: {'class': {'transport': 15.4,\n",
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" 188: {'class': {'transport': 75.0, 'nature': 25.0},\n",
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" 189: {'class': {'nature': 100.0},\n",
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" 190: {'class': {'nature': 66.7, 'activities': 33.3},\n",
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" 191: {'class': {'activities': 43.8,\n",
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" 192: {'class': {'nature': 80.0, 'transport': 20.0},\n",
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" 193: {'class': {'activities': 37.5, 'transport': 37.5, 'nature': 25.0},\n",
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" 194: {'class': {'activities': 50.0, 'unknown': 25.0, 'nature': 25.0},\n",
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" 329: {'class': {'transport': 16.7, 'nature': 66.7, 'activities': 16.7},\n",
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" 338: {'class': {'society': 87.5, 'nature': 12.5},\n",
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" 342: {'class': {'nature': 100.0},\n",
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" 355: {'class': {'nature': 80.0, 'transport': 13.3, 'unknown': 6.7},\n",
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" 358: {'class': {'nature': 69.2, 'activities': 15.4, 'society': 15.4},\n",
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" 360: {'class': {'society': 20.0,\n",
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" 361: {'class': {'activities': 70.0, 'nature': 20.0, 'society': 10.0},\n",
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" 363: {'class': {'nature': 46.2,\n",
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" 37: 7.7}},\n",
" 364: {'class': {'nature': 14.3, 'society': 85.7},\n",
" 'subclass': {'flora and funa': 14.3,\n",
" 'art, history and culture': 57.1,\n",
" 'human made landmarks': 28.6},\n",
" 'topic': {61: 14.3, 52: 14.3, 40: 14.3, 7: 14.3, 10: 28.6, 44: 14.3}},\n",
" 365: {'class': {'activities': 47.1,\n",
" 'transport': 29.4,\n",
" 'nature': 17.6,\n",
" 'unknown': 5.9},\n",
" 'subclass': {'picnic': 23.5,\n",
" 'sport complexes': 17.6,\n",
" 'trail-path-and-canal': 29.4,\n",
" 'flora and funa': 11.8,\n",
" 'unknown': 5.9,\n",
" 'natural landmarks': 5.9,\n",
" 'fishing to surfing': 5.9},\n",
" 'topic': {15: 11.8,\n",
" 28: 17.6,\n",
" 4: 17.6,\n",
" 1: 11.8,\n",
" 31: 5.9,\n",
" 36: 5.9,\n",
" 16: 5.9,\n",
" 9: 5.9,\n",
" 42: 5.9,\n",
" 0: 11.8}},\n",
" 366: {'class': {'activities': 11.1, 'nature': 77.8, 'society': 11.1},\n",
" 'subclass': {'sport complexes': 11.1,\n",
" 'flora and funa': 77.8,\n",
" 'art, history and culture': 11.1},\n",
" 'topic': {58: 11.1, 1: 22.2, 17: 11.1, 33: 22.2, 5: 22.2, 51: 11.1}},\n",
" 367: {'class': {'activities': 50.0, 'nature': 50.0},\n",
" 'subclass': {'food and beverage': 16.7,\n",
" 'flora and funa': 33.3,\n",
" 'picnic': 33.3,\n",
" 'natural landmarks': 16.7},\n",
" 'topic': {3: 16.7, 69: 16.7, 1: 16.7, 6: 16.7, 15: 16.7, 19: 16.7}},\n",
" 368: {'class': {'activities': 25.0,\n",
" 'unknown': 11.1,\n",
" 'transport': 22.2,\n",
" 'society': 8.3,\n",
" 'nature': 33.3},\n",
" 'subclass': {'food and beverage': 5.6,\n",
" 'unknown': 11.1,\n",
" 'sport complexes': 5.6,\n",
" 'trail-path-and-canal': 22.2,\n",
" 'human made landmarks': 2.8,\n",
" 'flora and funa': 11.1,\n",
" 'natural landmarks': 22.2,\n",
" 'picnic': 11.1,\n",
" 'fishing to surfing': 2.8,\n",
" 'art, history and culture': 5.6},\n",
" 'topic': {3: 5.6,\n",
" 26: 2.8,\n",
" 41: 5.6,\n",
" 36: 2.8,\n",
" 0: 16.7,\n",
" 7: 2.8,\n",
" 68: 5.6,\n",
" 5: 5.6,\n",
" 14: 16.7,\n",
" 16: 8.3,\n",
" 1: 5.6,\n",
" 9: 2.8,\n",
" 30: 2.8,\n",
" 18: 2.8,\n",
" 27: 5.6,\n",
" 35: 2.8,\n",
" 29: 5.6}},\n",
" 369: {'class': {'nature': 44.4, 'activities': 55.6},\n",
" 'subclass': {'flora and funa': 11.1,\n",
" 'natural landmarks': 33.3,\n",
" 'fishing to surfing': 33.3,\n",
" 'picnic': 22.2},\n",
" 'topic': {43: 11.1,\n",
" 2: 22.2,\n",
" 39: 11.1,\n",
" 12: 11.1,\n",
" 21: 11.1,\n",
" 42: 11.1,\n",
" 31: 11.1,\n",
" 35: 11.1}},\n",
" 370: {'class': {'society': 75.0, 'nature': 18.8, 'activities': 6.2},\n",
" 'subclass': {'art, history and culture': 75.0,\n",
" 'flora and funa': 12.5,\n",
" 'sport complexes': 6.2,\n",
" 'natural landmarks': 6.2},\n",
" 'topic': {73: 12.5, 10: 56.2, 45: 6.2, 33: 6.2, 57: 6.2, 2: 6.2, 20: 6.2}},\n",
" 371: {'class': {'society': 14.8,\n",
" 'activities': 40.7,\n",
" 'nature': 33.3,\n",
" 'transport': 11.1},\n",
" 'subclass': {'art, history and culture': 14.8,\n",
" 'picnic': 29.6,\n",
" 'natural landmarks': 11.1,\n",
" 'flora and funa': 22.2,\n",
" 'trail-path-and-canal': 11.1,\n",
" 'food and beverage': 3.7,\n",
" 'fishing to surfing': 3.7,\n",
" 'sport complexes': 3.7},\n",
" 'topic': {29: 7.4,\n",
" 15: 3.7,\n",
" 23: 3.7,\n",
" 5: 7.4,\n",
" 0: 3.7,\n",
" 43: 3.7,\n",
" 1: 7.4,\n",
" 9: 7.4,\n",
" 3: 3.7,\n",
" 37: 3.7,\n",
" 6: 7.4,\n",
" 20: 3.7,\n",
" 49: 3.7,\n",
" 45: 3.7,\n",
" 35: 3.7,\n",
" 4: 3.7,\n",
" 31: 3.7,\n",
" 21: 7.4,\n",
" 72: 3.7,\n",
" 27: 3.7,\n",
" 16: 3.7}},\n",
" 372: {'class': {'nature': 58.3, 'transport': 41.7},\n",
" 'subclass': {'natural landmarks': 33.3,\n",
" 'trail-path-and-canal': 41.7,\n",
" 'flora and funa': 25.0},\n",
" 'topic': {23: 16.7, 4: 33.3, 0: 8.3, 5: 8.3, 43: 16.7, 14: 16.7}},\n",
" 373: {'class': {'nature': 16.7,\n",
" 'transport': 33.3,\n",
" 'activities': 33.3,\n",
" 'society': 16.7},\n",
" 'subclass': {'flora and funa': 16.7,\n",
" 'trail-path-and-canal': 33.3,\n",
" 'picnic': 16.7,\n",
" 'art, history and culture': 16.7,\n",
" 'fishing to surfing': 16.7},\n",
" 'topic': {5: 16.7, 27: 16.7, 16: 16.7, 51: 16.7, 35: 16.7, 0: 16.7}},\n",
" 374: {'class': {'nature': 57.1, 'unknown': 28.6, 'activities': 14.3},\n",
" 'subclass': {'natural landmarks': 14.3,\n",
" 'flora and funa': 42.9,\n",
" 'unknown': 28.6,\n",
" 'picnic': 14.3},\n",
" 'topic': {9: 14.3,\n",
" 24: 14.3,\n",
" 5: 14.3,\n",
" 33: 14.3,\n",
" 26: 14.3,\n",
" 68: 14.3,\n",
" 49: 14.3}},\n",
" 375: {'class': {'activities': 57.1, 'nature': 42.9},\n",
" 'subclass': {'fishing to surfing': 57.1,\n",
" 'natural landmarks': 14.3,\n",
" 'flora and funa': 28.6},\n",
" 'topic': {59: 57.1, 14: 14.3, 1: 28.6}},\n",
" 376: {'class': {'transport': 57.1,\n",
" 'activities': 14.3,\n",
" 'unknown': 14.3,\n",
" 'nature': 14.3},\n",
" 'subclass': {'lines and stations': 14.3,\n",
" 'trail-path-and-canal': 42.9,\n",
" 'picnic': 14.3,\n",
" 'unknown': 14.3,\n",
" 'flora and funa': 14.3},\n",
" 'topic': {53: 14.3, 0: 14.3, 4: 28.6, 18: 14.3, 62: 14.3, 61: 14.3}},\n",
" 377: {'class': {'activities': 50.0,\n",
" 'unknown': 16.7,\n",
" 'society': 8.3,\n",
" 'nature': 25.0},\n",
" 'subclass': {'fishing to surfing': 16.7,\n",
" 'sport complexes': 16.7,\n",
" 'unknown': 16.7,\n",
" 'human made landmarks': 8.3,\n",
" 'picnic': 8.3,\n",
" 'flora and funa': 16.7,\n",
" 'natural landmarks': 8.3,\n",
" 'food and beverage': 8.3},\n",
" 'topic': {39: 16.7,\n",
" 57: 8.3,\n",
" 26: 8.3,\n",
" 7: 8.3,\n",
" 6: 8.3,\n",
" 72: 8.3,\n",
" 45: 8.3,\n",
" 23: 8.3,\n",
" 5: 8.3,\n",
" 36: 8.3,\n",
" 3: 8.3}},\n",
" 378: {'class': {'transport': 7.1,\n",
" 'society': 78.6,\n",
" 'nature': 7.1,\n",
" 'activities': 7.1},\n",
" 'subclass': {'lines and stations': 7.1,\n",
" 'art, history and culture': 42.9,\n",
" 'human made landmarks': 35.7,\n",
" 'natural landmarks': 7.1,\n",
" 'fishing to surfing': 7.1},\n",
" 'topic': {53: 7.1,\n",
" 8: 7.1,\n",
" 29: 7.1,\n",
" 47: 7.1,\n",
" 10: 7.1,\n",
" 32: 14.3,\n",
" 14: 7.1,\n",
" 13: 21.4,\n",
" 48: 14.3,\n",
" 59: 7.1}},\n",
" 379: {'class': {'activities': 21.4, 'nature': 71.4, 'transport': 7.1},\n",
" 'subclass': {'picnic': 7.1,\n",
" 'flora and funa': 28.6,\n",
" 'natural landmarks': 42.9,\n",
" 'fishing to surfing': 14.3,\n",
" 'trail-path-and-canal': 7.1},\n",
" 'topic': {16: 7.1,\n",
" 17: 14.3,\n",
" 23: 21.4,\n",
" 19: 7.1,\n",
" 55: 7.1,\n",
" 12: 7.1,\n",
" 33: 7.1,\n",
" 0: 7.1,\n",
" 24: 7.1,\n",
" 50: 7.1,\n",
" 2: 7.1}},\n",
" 380: {'class': {'society': 57.9,\n",
" 'activities': 31.6,\n",
" 'nature': 5.3,\n",
" 'unknown': 5.3},\n",
" 'subclass': {'art, history and culture': 52.6,\n",
" 'human made landmarks': 5.3,\n",
" 'picnic': 21.1,\n",
" 'fishing to surfing': 5.3,\n",
" 'sport complexes': 5.3,\n",
" 'natural landmarks': 5.3,\n",
" 'unknown': 5.3},\n",
" 'topic': {20: 31.6,\n",
" 44: 5.3,\n",
" 18: 10.5,\n",
" 13: 5.3,\n",
" 22: 5.3,\n",
" 50: 5.3,\n",
" 6: 5.3,\n",
" 10: 10.5,\n",
" 41: 5.3,\n",
" 2: 5.3,\n",
" 68: 5.3,\n",
" 31: 5.3}},\n",
" 381: {'class': {'activities': 66.7, 'society': 33.3},\n",
" 'subclass': {'food and beverage': 58.3,\n",
" 'art, history and culture': 33.3,\n",
" 'picnic': 8.3},\n",
" 'topic': {3: 58.3, 65: 33.3, 6: 8.3}},\n",
" 382: {'class': {'unknown': 12.5,\n",
" 'nature': 12.5,\n",
" 'activities': 50.0,\n",
" 'society': 25.0},\n",
" 'subclass': {'unknown': 12.5,\n",
" 'natural landmarks': 12.5,\n",
" 'sport complexes': 25.0,\n",
" 'art, history and culture': 25.0,\n",
" 'food and beverage': 25.0},\n",
" 'topic': {26: 12.5, 12: 12.5, 57: 25.0, 22: 12.5, 51: 12.5, 3: 25.0}},\n",
" 383: {'class': {'nature': 63.6,\n",
" 'transport': 9.1,\n",
" 'society': 18.2,\n",
" 'unknown': 9.1},\n",
" 'subclass': {'flora and funa': 63.6,\n",
" 'trail-path-and-canal': 9.1,\n",
" 'human made landmarks': 9.1,\n",
" 'art, history and culture': 9.1,\n",
" 'unknown': 9.1},\n",
" 'topic': {24: 9.1,\n",
" 0: 9.1,\n",
" 5: 9.1,\n",
" 17: 9.1,\n",
" 33: 9.1,\n",
" 1: 18.2,\n",
" 32: 9.1,\n",
" 40: 9.1,\n",
" 68: 9.1,\n",
" 43: 9.1}},\n",
" 384: {'class': {'transport': 30.0,\n",
" 'unknown': 10.0,\n",
" 'nature': 50.0,\n",
" 'activities': 10.0},\n",
" 'subclass': {'trail-path-and-canal': 30.0,\n",
" 'unknown': 10.0,\n",
" 'flora and funa': 40.0,\n",
" 'natural landmarks': 10.0,\n",
" 'picnic': 10.0},\n",
" 'topic': {0: 20.0,\n",
" 36: 10.0,\n",
" 27: 10.0,\n",
" 1: 30.0,\n",
" 69: 10.0,\n",
" 14: 10.0,\n",
" 18: 10.0}},\n",
" 385: {'class': {'activities': 11.1, 'society': 88.9},\n",
" 'subclass': {'fishing to surfing': 11.1,\n",
" 'art, history and culture': 77.8,\n",
" 'human made landmarks': 11.1},\n",
" 'topic': {39: 11.1, 29: 33.3, 65: 11.1, 37: 22.2, 22: 11.1, 47: 11.1}},\n",
" 386: {'class': {'activities': 50.0,\n",
" 'transport': 37.5,\n",
" 'unknown': 6.2,\n",
" 'nature': 6.2},\n",
" 'subclass': {'picnic': 43.8,\n",
" 'trail-path-and-canal': 37.5,\n",
" 'unknown': 6.2,\n",
" 'fishing to surfing': 6.2,\n",
" 'flora and funa': 6.2},\n",
" 'topic': {6: 18.8,\n",
" 0: 37.5,\n",
" 26: 6.2,\n",
" 21: 6.2,\n",
" 50: 6.2,\n",
" 15: 6.2,\n",
" 18: 12.5,\n",
" 5: 6.2}}}"
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"walk_info_metrics = {}\n",
"for walk_id, wal_info_record in walk_info.items():\n",
" walk_info_metrics[walk_id] = compute_metrics(wal_info_record)\n",
"walk_info_metrics"
]
},
{
"cell_type": "code",
"execution_count": 17,
"id": "6d211d0a-9336-4bbc-b286-a6f58f2d4463",
"metadata": {},
"outputs": [],
"source": [
"class_at_least_one = {}\n",
"class_majority = {}\n",
"no_majority = []\n",
"for walk_id, metrics in walk_info_metrics.items():\n",
" if len([v for v in metrics['class'].values() if v >= 50]) == 0:\n",
" no_majority.append(walk_id)\n",
" for m, value in metrics['class'].items():\n",
" if m not in class_at_least_one.keys():\n",
" class_at_least_one[m] = []\n",
" class_majority[m] = []\n",
" class_at_least_one[m].append(walk_id)\n",
" if value >= 50:\n",
" class_majority[m].append(walk_id)\n",
" \n",
" "
]
},
{
"cell_type": "code",
"execution_count": 18,
"id": "41041c8a-4064-4d65-8b41-fcdf917ad72d",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"122"
]
},
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"len(no_majority)"
]
},
{
"cell_type": "code",
"execution_count": 19,
"id": "87202147-4d6f-4550-931b-449b41323810",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'nature': 125, 'activities': 63, 'unknown': 2, 'society': 64, 'transport': 12}"
]
},
"execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"{k:len(v) for k, v in class_majority.items()}"
]
},
{
"cell_type": "code",
"execution_count": 20,
"id": "119ed245-59d6-45f8-b07e-3b9a34e5b57f",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'nature': 338,\n",
" 'activities': 315,\n",
" 'unknown': 131,\n",
" 'society': 256,\n",
" 'transport': 238}"
]
},
"execution_count": 20,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"{k:len(v) for k, v in class_at_least_one.items()}"
]
},
{
"cell_type": "markdown",
"id": "be7bb360-75fb-4c50-94c6-7f548966a812",
"metadata": {},
"source": [
"# NOTE - TODO list\n",
"\n",
"1. explain how these model works -> contextualize it with respect to the categories identified!\n",
"2. derive basic stats of what keys for what subclass/class\n",
"3. start comparing key values of selected vs. not selected features: distance to the path, type and OSM information, pattern in not selected - what tags/values?\n",
"5. build a binary classifier (both text and feature engineering) to label important or not for leisure walking - create a frequent tag feature dataset and start building a binary classifier - input feature --> is it selected? - then describe what it achieves and how it performs\n",
"6. optional: add a text classifier - DNN to show it can be improved by embeddings?"
]
},
{
"cell_type": "code",
"execution_count": 170,
"id": "dbb905a0-5601-4368-9951-fc2342bf2408",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
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"metadata": {},
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],
"source": [
"osm_paths[osm_paths['poi_id'] == '162']"
]
},
{
"cell_type": "code",
"execution_count": 138,
"id": "dbcda453-f504-408a-9530-e4fb84ba2cb2",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
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"text/plain": [
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"source": [
"all_paths_projected[all_paths_projected['poi_id'] == '163']"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "2ab35255-9ccd-49c1-aa1c-37ce6299ce75",
"metadata": {},
"outputs": [],
"source": []
}
],
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"display_name": "Python 3 (ipykernel)",
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