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Joint entropy \[H(x, y)\]

Usage

lsm_l_joinent(landscape, neighbourhood = 4, ordered = TRUE, base = "log2")

Arguments

landscape

A categorical raster object: SpatRaster; Raster* Layer, Stack, Brick; stars or a list of SpatRasters.

neighbourhood

The number of directions in which cell adjacencies are considered as neighbours: 4 (rook's case) or 8 (queen's case). The default is 4.

ordered

The type of pairs considered. Either ordered (TRUE) or unordered (FALSE). The default is TRUE.

base

The unit in which entropy is measured. The default is "log2", which compute entropy in "bits". "log" and "log10" can be also used.

Value

tibble

Details

Complexity of a landscape pattern. An overall spatio-thematic complexity metric.

References

Nowosad J., TF Stepinski. 2019. Information theory as a consistent framework for quantification and classification of landscape patterns. https://doi.org/10.1007/s10980-019-00830-x

Examples

landscape <- terra::rast(landscapemetrics::landscape)
lsm_l_joinent(landscape)
#> # A tibble: 1 × 6
#>   layer level     class    id metric  value
#>   <int> <chr>     <int> <int> <chr>   <dbl>
#> 1     1 landscape    NA    NA joinent  2.33