landscapemetrics (version 1.4.4)

lsm_l_ent: ENT (landscape level)

Description

Marginal entropy \[H(x)\]

Usage

lsm_l_ent(landscape, neighbourhood, base)

# S3 method for RasterLayer lsm_l_ent(landscape, neighbourhood = 4, base = "log2")

# S3 method for RasterStack lsm_l_ent(landscape, neighbourhood = 4, base = "log2")

# S3 method for RasterBrick lsm_l_ent(landscape, neighbourhood = 4, base = "log2")

# S3 method for stars lsm_l_ent(landscape, neighbourhood = 4, base = "log2")

# S3 method for list lsm_l_ent(landscape, neighbourhood = 4, base = "log2")

Arguments

landscape

Raster* Layer, Stack, Brick or a list of rasterLayers.

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.

Value

tibble

Details

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

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,

Examples

Run this code
# NOT RUN {
lsm_l_ent(landscape)

# }

Run the code above in your browser using DataCamp Workspace