Calculates a distance matrix based on an object of class lsp.
lsp_to_dist(x, dist_fun, unit = "log2", p = NULL)An object of class lsp - usually the output of
the lsp_signature() function
A distance/dissimilarity method used.
All possible values can be found using
the philentropy::getDistMethods() function
A character string specifying the logarithm unit
that should be used to compute distances that depend on log computations:
"log", "log2", "log10".
The default is "log"
Power of the Minkowski distance.
Used only when the dist_fun = "minkowski"
An object of class `"dist"``
library(stars)
landcover = read_stars(system.file("raster/landcover2015s.tif", package = "motif"))
landcover_cove = lsp_signature(landcover, type = "cove", threshold = 0.9, window = 400)
landcover_cove
#> # A tibble: 4 × 3
#> id na_prop signature
#> * <int> <dbl> <list>
#> 1 1 0 <dbl [1 × 28]>
#> 2 2 0.33 <dbl [1 × 28]>
#> 3 3 0.485 <dbl [1 × 28]>
#> 4 4 0.551 <dbl [1 × 28]>
dist_cov = lsp_to_dist(landcover_cove, dist_fun = "jensen-shannon")
#> Metric: 'jensen-shannon' using unit: 'log2'; comparing: 4 vectors.
dist_cov
#> 1 2 3
#> 2 0.03792103
#> 3 0.05198706 0.09418310
#> 4 0.02349854 0.06928839 0.01541222
# \donttest{
# larger data example
library(stars)
landcover = read_stars(system.file("raster/landcover2015.tif", package = "motif"))
landcover_cove = lsp_signature(landcover, type = "cove", threshold = 0.9, window = 2000)
landcover_cove
#> # A tibble: 6 × 3
#> id na_prop signature
#> * <int> <dbl> <list>
#> 1 1 0.659 <dbl [1 × 28]>
#> 2 2 0.374 <dbl [1 × 28]>
#> 3 3 0.705 <dbl [1 × 28]>
#> 4 6 0.671 <dbl [1 × 28]>
#> 5 7 0.509 <dbl [1 × 28]>
#> 6 8 0.804 <dbl [1 × 28]>
dist_cov = lsp_to_dist(landcover_cove, dist_fun = "jensen-shannon")
#> Metric: 'jensen-shannon' using unit: 'log2'; comparing: 6 vectors.
dist_cov
#> 1 2 3 6 7
#> 2 0.005410106
#> 3 0.044243759 0.043963412
#> 6 0.087887867 0.081803787 0.036074087
#> 7 0.041908697 0.041230398 0.004322015 0.031106539
#> 8 0.023493738 0.017818474 0.023754159 0.030754786 0.022549318
# }