landscapemetrics (version 1.4.4)

lsm_l_joinent: JOINENT (landscape level)

Description

Joint entropy \[H(x, y)\]

Usage

lsm_l_joinent(landscape, neighbourhood, ordered, base)
# S3 method for RasterLayer
lsm_l_joinent(landscape, neighbourhood = 4, ordered = TRUE, base = "log2")
# S3 method for RasterStack
lsm_l_joinent(landscape, neighbourhood = 4, ordered = TRUE, base = "log2")
# S3 method for RasterBrick
lsm_l_joinent(landscape, neighbourhood = 4, ordered = TRUE, base = "log2")
# S3 method for stars
lsm_l_joinent(landscape, neighbourhood = 4, ordered = TRUE, base = "log2")
# S3 method for list
lsm_l_joinent(landscape, neighbourhood = 4, ordered = TRUE, 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.

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.

Value

tibble

Details

Complexity of a landscape pattern. An overall spatio-thematic complexity metric.

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_condent, lsm_l_mutinf

Examples

# NOT RUN {
lsm_l_joinent(landscape)

# }