if (grassStarted()) {
# Setup
library(terra)
# Climate rasters:
madChelsa <- fastData("madChelsa")
# Convert to GRasters:
chelsa <- fast(madChelsa)
### Center and scale rasters
# Scale with using sample SD:
chScaled <- scale(chelsa)
chScaled
# Scale with using population SD:
chScaledPop <- scalepop(chelsa)
chScaledPop
# Means are very close to 0 and SDs to 1:
global(chScaled, c("mean", "sd", "min", "max"))
global(chScaledPop, c("mean", "sd", "min", "max"))
# Get original means and sd's:
centers <- attributes(chScaled)$center
scales <- attributes(chScaled)$scale
centers
scales
### Unscale rasters:
chUnscaled <- unscale(chScaled, center = centers, scale = scales)
# Means and SD are returned to original values:
global(chUnscaled, c("mean", "sd", "min", "max")) # unscaled
global(chelsa, c("mean", "sd", "min", "max")) # original
}
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