bes_g_cushman: Configurational entropy for surfaces

In bespatial: Boltzmann Entropy for Spatial Data

Configurational entropy for surfaces

Description

Calculates Cushman's configurational entropy for surfaces (2021)

Usage

bes_g_cushman(x, nr_of_permutations = 1000, independent = FALSE)

Arguments

x	SpatRaster, stars, RasterLayer, RasterStack, RasterBrick, matrix, or array containing one or more continuous rasters
nr_of_permutations	Number of permutations performed on each input raster to calculate possible distribution of "slope" values
independent	Should an independent set of permutations be performed for each input raster? TRUE/FALSE. Use FALSE (default) when each of your input rasters has the same configuration.

Value

A tibble

References

Cushman, S. A. (2021). Generalizing Boltzmann Configurational Entropy to Surfaces, Point Patterns and Landscape Mosaics. In Entropy (Vol. 23, Issue 12, p. 1616). MDPI AG. https://doi.org/10.3390/e23121616

Examples

  library(bespatial)
  library(terra)
  gradient = rast(system.file("raster/gradient.tif", package = "bespatial"),
                       lyrs = 1)
  ce2 = bes_g_cushman(gradient, 100)
  plot(gradient, main = round(ce2$value, 2))
  bes_g_cushman(gradient, 1000, independent = TRUE)

bespatial documentation built on April 3, 2025, 7:58 p.m.