lsm_l_ent function

ENT (landscape level)

Marginal entropy [H(x)]

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.

Returns

tibble

Details

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

Examples

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

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