Download and process Global PFT Land Cover Projections (SSPs-RCPs)

This function downloads, processes, and extracts land cover variables from the Global 7-land-types LULC projection dataset based on plant functional types (PFT) with a 1-km resolution under socio-climatic scenarios (Chen et al., 2022).

Usage

pftlandcover(x, vars = NULL, year = 2025, ssp = 585, ...)

Arguments

x: The output from `par_set()` defining the area or locations for extraction, the reference system, and the buffer. Leave this empty and use `par_set()` to define parameters for download.
vars: Character vector of one or more variables to download and process.
year: Integer. The year of the projection (2020-2100, step 5). Defaults to 2025.
ssp: Integer or Character. The SSP-RCP scenario code (119, 126, 245, 370, 434, 460, 534, 585). Defaults to 585.
...: Additional arguments (currently unused).

Value

If `par_set()` contained a raster/polygon/points with buffer: a `SpatRaster` stack of processed variables. If `par_set()` contained spatial points or data.frame of points without buffer: a `data.frame` of x, y, and extracted values.

Details

Available variables (working synonyms in parentheses):

Land Cover

1 - "landcover" ("cover", "land", "lulc", "pft", "projection")

Citation:
Chen G, Li X, Liu X (2022). "Global land projection based on plant functional types with a 1-km resolution under socio-climatic scenarios." Scientific Data 9, 125. https://doi.org/10.1038/s41597-022-01208-6

Note: If the `vars` argument is left empty, the function will default to downloading the land cover map.

Examples

# \donttest{
# Download SSP5-RCP8.5 projection for 2050
processed <- par_set(country= "Italy", crs=3035) %>% 
  pftlandcover(vars="landcover", year=2050, ssp=585)
  # }