lsm_l_condent: Conditional entropy (landscape level)

In landscapemetrics: Landscape Metrics for Categorical Map Patterns

Conditional entropy (landscape level)

Description

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.

Details

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

Value

tibble

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)

landscapemetrics documentation built on Sept. 12, 2024, 7:42 a.m.