https://github.com/rspatial/geodata
download geographic data
https://github.com/rspatial/geodata
Last synced: about 1 year ago
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download geographic data
- Host: GitHub
- URL: https://github.com/rspatial/geodata
- Owner: rspatial
- License: gpl-3.0
- Created: 2019-09-14T17:32:44.000Z (almost 7 years ago)
- Default Branch: master
- Last Pushed: 2025-02-08T18:55:09.000Z (over 1 year ago)
- Last Synced: 2025-05-05T11:54:47.083Z (about 1 year ago)
- Language: R
- Size: 273 KB
- Stars: 163
- Watchers: 3
- Forks: 15
- Open Issues: 37
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# geodata
**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.
## Installation
You can install the released version of **geodata** from [CRAN](https://CRAN.R-project.org) with:
``` r
install.packages("geodata")
```
You can install the development version of **geodata** from github with:
``` r
# install.packages("remotes")
remotes::install_github("rspatial/geodata")
```
## Data
|Function |Description |
|:---------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------------|
|`bio_oracle` |Marine data from [Bio-Oracle](https://bio-oracle.org/) |
|`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](https://sage.nelson.wisc.edu/data-and-models/datasets/crop-calendar-dataset/) |
|`crop_monfreda` |Crop area and yield data for 175 crops by [Monfreda et al.](http:://www.earthstat.org/harvested-area-yield-175-crops/) |
|`crop_spam` |[MapSPAM](https://www.mapspam.info/data/) 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](https://gadm.org) |
|`landcover` |Landcover data derived from ESA WorldCover |
|`footprint` |Human footprint data from the [Last of the Wild project](https://sedac.ciesin.columbia.edu/data/collection/wildareas-v3) |
|`osm` |OpenStreetMap data by country (places and roads) |
|`population` |Population density [Gridded Population of the World](http://sedac.ciesin.columbia.edu/data/collection/gpw-v4/documentation) |
|`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](https://envirometrix.nl/isdasoil-open-soil-data-for-africa/) |
|`soil_world_vsi` |Virtually connect to the global [SoilGrids](https://www.isric.org/explore/soilgrids) data |
|`soil_world` |Global soils data from [SoilGrids](https://www.isric.org/explore/soilgrids) |
|`sp_occurrence` |Species occurrence records from the [Global Biodiversity Information Facility](https::/www.gbif.org) |
|`travel_time` |Travel time to and from cities and ports by [Nelson et al.](https://www.nature.com/articles/s41597-019-0265-5) |
|`worldclim_global`, `worldclim_country`, `worldclim_tile` |[WorldClim](https://worldclim.org) glocal climate data |