lsm_l_ent {landscapemetrics}

ENT (landscape level)

Description

Marginal entropy \[H(x)\]

Usage

lsm_l_ent(landscape, neighbourhood = 4, 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.

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

It measures a diversity (thematic complexity) of landscape classes.

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_condent, lsm_l_mutinf, lsm_l_joinent, lsm_l_relmutinf

Examples

landscape <- terra::rast(landscapemetrics::landscape)
lsm_l_ent(landscape)