geocomplexity for spatial raster data based on geographical similarity

This function calculates geocomplexity for spatial raster data based on geographical similarity.

Usage

geocs_raster(r, order = 1, normalize = TRUE, similarity = 1, method = "spvar")

Arguments

r: SpatRaster object or can be converted to SpatRaster by terra::rast().
order: (optional) The order of the adjacency object. Default is 1.
normalize: (optional) Whether to further normalizes the calculated geocomplexity. Default is TRUE.
similarity: (optional) When similarity is 1, the similarity is calculated using geographical configuration similarity, otherwise the cosine similarity is calculated. Default is 1.
method: (optional) When method is spvar, variation of the similarity vector is represented using spatial variance, otherwise shannon information entropy is used. Default is spvar.

Value

A SpatRaster object

Note

In contrast to the geocs_vector() function, the geocs_raster() performs operations internally on raster data without providing additional wt object.

Examples

library(terra)
m1 = matrix(c(3,3,3,3,1,3,
              3,3,3,2,1,2,
              3,3,3,1,2,1,
              1,3,2,2,2,2,
              2,2,2,1,1,2,
              1,2,1,1,1,1),
           nrow = 6,
           byrow = TRUE)
m1 = rast(m1)
names(m1) = 'sim1'
m2 = m1
set.seed(123456789)
values(m2) = values(m1) + runif(ncell(m1),-1,1)
names(m2) = 'sim2'
m = c(m1,m2)
gc1 = geocs_raster(m,1)
gc2 = geocs_raster(m,2)
gc1
#> class       : SpatRaster 
#> dimensions  : 6, 6, 1  (nrow, ncol, nlyr)
#> resolution  : 1, 1  (x, y)
#> extent      : 0, 6, 0, 6  (xmin, xmax, ymin, ymax)
#> coord. ref. :  
#> source(s)   : memory
#> name        : GC 
#> min value   :  0 
#> max value   :  1 
plot(gc1)

gc2
#> class       : SpatRaster 
#> dimensions  : 6, 6, 1  (nrow, ncol, nlyr)
#> resolution  : 1, 1  (x, y)
#> extent      : 0, 6, 0, 6  (xmin, xmax, ymin, ymax)
#> coord. ref. :  
#> source(s)   : memory
#> name        : GC 
#> min value   :  0 
#> max value   :  1 
plot(gc2)