[](https://www.repostatus.org/#active) [](https://cran.r-project.org/package=FedData) [](https://github.com/r-hub/cranlogs.app) [](https://github.com/r-hub/cranlogs.app) [](https://github.com/ropensci/FedData/actions/workflows/check-standard.yaml) [](https://app.codecov.io/gh/ropensci/FedData?branch=master) [](https://doi.org/10.5281/zenodo.596344) [](https://github.com/ropensci/software-review/issues/13) `FedData` is an *R* package implementing functions to automate downloading geospatial data available from several federated data sources. Currently, the package enables extraction from nine datasets: - The [National Elevation Dataset (NED)](https://ned.usgs.gov) digital elevation models (1 and 1/3 arc-second; USGS) - The [National Hydrography Dataset (NHD)](https://www.usgs.gov/national-hydrography/national-hydrography-dataset) (USGS) - The [Soil Survey Geographic (SSURGO) database](https://websoilsurvey.sc.egov.usda.gov/) from the National Cooperative Soil Survey (NCSS), which is led by the Natural Resources Conservation Service (NRCS) under the USDA - The [Global Historical Climatology Network (GHCN)](https://www.ncei.noaa.gov/products/land-based-station/global-historical-climatology-network-daily), coordinated by National Climatic Data Center at NOAA - The [Daymet](https://daymet.ornl.gov/) gridded estimates of daily weather parameters for North America, version 4, available from the Oak Ridge National Laboratory’s Distributed Active Archive Center (DAAC) - The [International Tree Ring Data Bank (ITRDB)](https://www.ncei.noaa.gov/products/paleoclimatology/tree-ring), coordinated by National Climatic Data Center at NOAA - The [National Land Cover Database (NLCD)](https://www.mrlc.gov/) - The [NASS Cropland Data Layer](https://www.nass.usda.gov/Research_and_Science/Cropland/SARS1a.php) from the National Agricultural Statistics Service - The [PAD-US](https://www.usgs.gov/programs/gap-analysis-project/science/pad-us-data-overview) dataset of protected area boundaries from the USGS This package is designed with the large-scale geographic information system (GIS) use-case in mind: cases where the use of dynamic web-services is impractical due to the scale (spatial and/or temporal) of analysis. It functions primarily as a means of downloading tiled or otherwise spatially-defined datasets; additionally, it can preprocess those datasets by extracting data within an area of interest (AoI), defined spatially. It relies heavily on the [**sf**](https://cran.r-project.org/package=sf) and [**terra**](https://cran.r-project.org/package=terra) packages. ### Development - [Kyle Bocinsky](https://www.bocinsky.io) - Montana Climate Office, Missoula, MT ### Contributors - Dylan Beaudette - USDA-NRCS Soil Survey Office, Sonora, CA - Jeffrey Hollister - US EPA Atlantic Ecology Division, Narragansett, RI - Scott Chamberlain - ROpenSci and Museum of Paleontology at UC Berkeley ### Install `FedData` - From CRAN: ``` r install.packages("FedData") ``` - Development version from GitHub: ``` r install.packages("devtools") devtools::install_github("ropensci/FedData") ``` - Linux: Follow instructions for installing `sf` available at , then install either from CRAN or GitHub. ### Getting Started Check out our [Getting Started article](https://docs.ropensci.org/FedData/articles/FedData.html). ### Acknowledgements This package is a product of SKOPE ([Synthesizing Knowledge of Past Environments](https://www.openskope.org/)) and the [Village Ecodynamics Project](https://crowcanyon.github.io/veparchaeology/) through grants awarded to the University of Montana, the [Crow Canyon Archaeological Center](https://crowcanyon.org/), and Washington State University by the National Science Foundation. This software is licensed under the [MIT license](https://opensource.org/license/mit). Continuing development is supported by the [Montana Climate Office](https://climate.umt.edu). FedData was reviewed for [rOpenSci](https://ropensci.org) by [@jooolia](https://github.com/jooolia), and was greatly improved as a result. [rOpenSci](https://ropensci.org) on-boarding was coordinated by [@sckott](https://github.com/sckott).