Köppen-Geiger Climate Classification — raster

raster_kgc() gives easy access to the Köppen-Geiger climate classification raster data. It can be cropped by a given polygon. scale_color_kgc() and scale_fill_kgc() are ggplot2 color scales to be used with the KGC raster.

Usage

raster_kgc(mask = NULL, keep_ocean = FALSE)

scale_color_kgc(...)

scale_fill_kgc(...)

Format

A stars object with 2 dimensions and 1 attribute.

Source

https://koeppen-geiger.vu-wien.ac.at

Arguments

mask: sf or sfc object for cropping. If NULL (default), the full raster is returned.
keep_ocean: A logical. If FALSE (default), "Ocean" is converted to NA after cropping. Not relevant if mask is NULL.
...: passed to ggplot2::scale_fill_manual().

Value

raster_kgc() returns a stars object.

scale_color_kgc() and scale_fill_kgc() return a ggplot2 scale.

Examples

library(ggplot2)
geo_jp = rnaturalearth::ne_countries(country = "Japan")
kgc_jp = habistats::raster_kgc(geo_jp, keep_ocean = TRUE) |> print()
#> stars object with 2 dimensions and 1 attribute
#> attribute(s):
#>  KG_1986-2010.grd 
#>  Cfa    : 3637    
#>  Dfb    : 1689    
#>  Cfb    :  307    
#>  Ocean  :  151    
#>  Dfc    :  150    
#>  (Other):   31    
#>  NA's   :28160    
#> dimension(s):
#>   from   to offset    delta refsys x/y
#> x 3713 3907   -180  0.08333 WGS 84 [x]
#> y  534  708     90 -0.08333 WGS 84 [y]
ggplot(geo_jp) +
  stars::geom_stars(data = kgc_jp) +
  geom_sf(linewidth = 1, color = "#00000088", fill = NA) +
  scale_fill_kgc(na.value = "transparent") +
  theme_minimal()