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Conditional entropy (landscape level)

Source: R/lsm_l_condent.R
lsm_l_condent.Rd

Conditional entropy \[H(y|x)\]

Usage

lsm_l_condent(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 configuration. It measures a only a geometric intricacy (configurational complexity) of a landscape pattern.

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

See also

lsm_l_ent, lsm_l_mutinf, lsm_l_joinent, lsm_l_relmutinf

Examples

landscape <- terra::rast(landscapemetrics::landscape)
lsm_l_condent(landscape)
#> # A tibble: 1 × 6
#>   layer level     class    id metric  value
#>   <int> <chr>     <int> <int> <chr>   <dbl>
#> 1     1 landscape    NA    NA condent 0.876