lsm_l_ent: ENT (landscape level)

Description Usage Arguments Details Value References See Also Examples

View source: R/lsm_l_ent.R

Description

A metric of a compositional complexity of a pattern (a pattern diversity)

Usage

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lsm_l_ent(landscape, neighbourhood, base)

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

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

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

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

## S3 method for class '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.

Details

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

Value

tibble

References

Nowosad J., TF Stepinski. 2018. Information-theoretical approach to measure landscape complexity. https://doi.org/10.1101/383281

See Also

lsm_l_condent, lsm_l_mutinf, lsm_l_joinent,

Examples

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r-spatialecology/landscapemetrics documentation built on April 30, 2019, 6:01 a.m.