geodata

geodata is an R package for downloading geographic data. This is the development version for the Excellence in Agronomy initiative of the CGIAR. This is developed specifically for the AgWISE decision support system.

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.

Installation

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("AgWISE/geodata")

Data

Function	Description
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