crop_spam: SPAM crop data

Description

SPAM crop data. For each of 42 crops or crop groups get a 10-minute spatial resolution raster with the crop area, yield, production or value by cropping system (rainfed or irrigated, and subsistence, low-input or high-input).

The global data are for 2010. The Africa dataset is for 2017.

Usage

spamCrops()
crop_spam(crop="", var="area", path, africa=FALSE, ...)

Value

SpatRaster

Arguments

crop: character. See spamCrops for valid names
var: character. variable of interest. Must be one of "yield", "harv_area" (harvested area), "phys_area" (physical area), "prod" (production) or "val_prod" (value of production)
path: character. Path for storing the downloaded data. See geodata_path
africa: logical. retrieve the (more up to date) data for Africa instead of global data
...: additional arguments passed to download.file

References

International Food Policy Research Institute, 2019. Global Spatially-Disaggregated Crop Production Statistics Data for 2010 Version 2.0. https://doi.org/10.7910/DVN/PRFF8V, Harvard Dataverse, V4.

International Food Policy Research Institute, 2020. Spatially-Disaggregated Crop Production Statistics Data in Africa South of the Sahara for 2017. https://doi.org/10.7910/DVN/FSSKBW, Harvard Dataverse, V3.

Examples

Run this code

# \donttest{
# downloads a large file
cas <- crop_spam("cassava", "area", path=tempdir(), TRUE)
# }