lsm_l_ent: ENT (landscape level)
In landscapemetrics: Landscape Metrics for Categorical Map Patterns
lsm_l_ent R Documentation
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)
landscapemetrics documentation built on Sept. 12, 2024, 7:42 a.m.
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| lsm_l_ent | R Documentation |
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)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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