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Showing content from https://github.com/rspatial/geodata below:

GitHub - rspatial/geodata: download geographic data

geodata is an R package for downloading geographic data. This package facilitates access to climate, elevation, soil, crop, species occurrence, and administrative boundary data, and is a successor of the getData() function from the raster package.

You can install the released version of geodata from CRAN with:

install.packages("geodata")

You can install the development version of geodata from github with:

# install.packages("remotes")
remotes::install_github("rspatial/geodata")
Function Description bio_oracle Marine data from Bio-Oracle cmip6_world, cmip6_tile Downscaled and calibrated CMIP6 projected future climate data country_codes Country codes crop_calendar_sacks Crop calendar data by Sacks et al crop_monfreda Crop area and yield data for 175 crops by Monfreda et al. crop_spam MapSPAM crop data (area, yield, value) cropland Cropland density for the world derived from different sources (ESA, GLAD, QED) elevation_3s, elevation_30s, elevation_global Elevation data gadm, world Administrative boundaries for any country, or the entire world from GADM landcover Landcover data derived from ESA WorldCover footprint Human footprint data from the Last of the Wild project osm OpenStreetMap data by country (places and roads) population Population density Gridded Population of the World soil_af Chemical and physical soil properties data for Africa for different soil depths soil_af_elements Connect to or download chemical soil element concentration (for the 0-30 cm topsoil) data for Africa soil_af_water Physical soil properties data for Africa for water balance computation soil_af_isda Soil data for Africa derived from the iDSA data set soil_world_vsi Virtually connect to the global SoilGrids data soil_world Global soils data from SoilGrids sp_occurrence Species occurrence records from the Global Biodiversity Information Facility travel_time Travel time to and from cities and ports by Nelson et al. worldclim_global, worldclim_country, worldclim_tile WorldClim glocal climate data

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