spData ====== [](https://travis-ci.org/Nowosad/spData) [](https://cran.r-project.org/package=spData) [](https://cran.r-project.org/package=spData) Datasets for spatial analysis ### **sf** - `aggregating_zones` - See `congruent` - `baltimore` - House sales prices, Baltimore, MD 1978 - `congruent` - Sample of UK administrative zones that have shared borders with `aggregating_zones` (`incongruent` does not have shared borders) for teaching the concept of spatial congruence - `cycle_hire` - Cycle hire points in London - `cycle_hire_osm` - Cycle hire points in London from OSM - `incongruent` - See `congruent` - `lnd` - The boroughs of London - `nz` - The regions of New Zealand - `nz_height` - High points in New Zealand - `seine` - Small river network in France - `urban_agglomerations` - Major urban areas worldwide - `us_states` - US states polygons - `world` - World country polygons - `wheat` - Mercer and Hall wheat yield data ### **sp** - `auckland` - Marshall's infant mortality in Auckland dataset - `elect80` - 1980 Presidential election results - `house` - Lucas county OH housing - `SplashDams` - Data for Splash Dams in western Oregon - `state.vbm` - US State Visibility Based Map ### **spdep** - `afcon` - Spatial patterns of conflict in Africa 1966-78 - `boston` - Boston Housing Data - `columbus` - Columbus OH spatial analysis data set - `eire` - Eire data sets - `nc.sids` - North Carolina SIDS data - `NY_data` - New York leukemia data - `used.cars` - US 1960 used car prices ### **raster** - `elev` - Small raster dataset representing elevation values - `grain` - Small raster dataset representing grain size classes ### misc - `coffee_data` - World coffee production statistics by country, 2016 - 2017 - `getisord` - Getis-Ord remote sensing example data - `hopkins` - Hopkins burnt savanna herb remains - `huddersfield` - Prevalence of respiratory symptoms - `jenks71` - Illinois 1959 county gross farm product value per acre - `us_states_df` - Selected American Community Survey (ACS) data - `worldbank_df` - Selected World Bank data Installation ------------ Get the released version from CRAN: ``` r install.packages("spData") ``` Get the development version from github: ``` r devtools::install_github("nowosad/spData") ``` spDataLarge ----------- This package interacts with data available through the 'spDataLarge' package, which is available in a 'drat' repository. To access this data package, run: ``` r install.packages("spDataLarge", repos = "https://nowosad.github.io/drat/", type = "source") ``` The size of the 'spDataLarge' package is approximately 20 MB. Contributions ------------- [Feel free to submit issues and enhancement requests.](https://github.com/Nowosad/spData/issues)