Inhomogeneity measures a degree of mutual dissimilarity between values of all cells in a region. This value is between 0 and 1, where small value indicates that values of all cells in the region represent consistent patterns so the cluster is pattern-homogeneous.
reg_inhomogeneity(
region,
raster,
dist_fun = "euclidean",
sample_size = 1,
unit = "log2",
na.rm = FALSE,
...
)An object of class sf with a POLYGON or MULTIPOLYGON geometry type
An object of class SpatRaster (terra)
Distance measure used. This function uses philentropy::distance (run philentropy::getDistMethods() to find possible distance measures) or proxy::dist (run names(proxy::pr_DB$get_entries()) to find possible distance measures) in the background.
It is also possible to use "dtw" (dynamic time warping)
Proportion of the cells inside of each region to be used in calculations. Value between 0 and 1. It is also possible to specify an integer larger than 1, in which case the specified number of cells of each region will be used in calculations.
A character string specifying the logarithm unit that should be used to compute distances that depend on log computations.
Whether NA values should be stripped from the calculations.
Additional arguments for philentropy::dist_one_one, proxy::dist, or dtwclust::dtw_basic.
When dist_fun = "dtw" is used, ndim should be set to specify how many dimension the input raster time-series has.
A vector with the inhomogeneity values
if (FALSE) {
library(terra)
if (requireNamespace("sf", quietly = TRUE)) {
library(sf)
volcano = rast(system.file("raster/volcano.tif", package = "regional"))
vr = read_sf(system.file("regions/volcano_regions.gpkg", package = "regional"))
vr$inh = reg_inhomogeneity(vr, volcano, sample_size = 1)
mean(vr$inh)
plot(volcano)
plot(vect(vr), add = TRUE)
plot(volcano)
plot(vr["inh"], add = TRUE)
}
}