bes_p_cushman {bespatial} | R Documentation |
Configurational entropy for point patterns
Description
Calculates Cushman's configurational entropy for point patterns (2021)
Usage
bes_p_cushman(x, nr_of_permutations, independent = FALSE)
Arguments
x |
SpatRaster, stars, RasterLayer, RasterStack, RasterBrick, matrix, or array containing one or more rasters with one value and NAs |
nr_of_permutations |
Number of permutations performed on each input raster to calculate possible distribution of the number of nearest neighbors |
independent |
Should an independent set of permutations be performed for each input raster?
|
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(terra)
library(bespatial)
point_pattern = rast(system.file("raster/point_pattern.tif", package = "bespatial"))
ce3 = bes_p_cushman(point_pattern, 100)
plot(point_pattern, main = round(ce3$value, 2))
ce3b = bes_p_cushman(point_pattern, 100, independent = TRUE)
plot(point_pattern, main = round(ce3b$value, 2))
[Package bespatial version 0.1.2 Index]