Identifies severe deficit / surplus hotspots based on statistical significance thresholds
(e.g., +/- 1.96 corresponding to 95% confidence interval).
Usage
wapor_calc_spatial_hotspots(zscore_layer, low = -1.96, high = 1.96)
Arguments
- zscore_layer
SpatRaster. Single-layer raster of Z-scores.
- low
Numeric. Lower threshold for severe deficit (default: -1.96).
- high
Numeric. Upper threshold for severe surplus (default: 1.96).
Value
A SpatRaster with classified values:
-2: Severe Deficit (Z < low)
-1: Moderate Deficit (low <= Z < -1.0)
0: Normal (-1.0 <= Z <= 1.0)
1: Moderate Surplus (1.0 < Z <= high)
2: Severe Surplus (Z > high)
Examples
z <- terra::rast(nrows=5, ncols=5, vals=seq(-2.5, 2.5, length.out=25))
h <- wapor_calc_spatial_hotspots(z)