The goal of motifmw is to describe spatial patterns of categorical raster data for any defined moving window. Patterns are described quantitatively using built-in signatures based on a co-occurrence matrix.
You can install the development version of the package with:
# install.packages("remotes")
remotes::install_github("Nowosad/motifmw")library(motifmw)
library(terra)
#> terra 1.7.69
r = rast(matrix(c(rep(1, 23), rep(NA, 3), rep(2, 23)), ncol = 7))
plot(r)
w = matrix(1, 3, 3)
result = lsp_signature_mw(x = r, window = w)
result
#> class : SpatRaster
#> dimensions : 7, 7, 3 (nrow, ncol, nlyr)
#> resolution : 1, 1 (x, y)
#> extent : 0, 7, 0, 7 (xmin, xmax, ymin, ymax)
#> coord. ref. :
#> source(s) : memory
#> names : lyr1, lyr2, lyr3
#> min values : 0, 0.0000000, 0
#> max values : 1, 0.2857143, 1
plot(result)
An extended example shows how to compare spatial patterns using moving window approach.