| lsm_l_condent {landscapemetrics} | R Documentation |
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)