Mutual information \[I(y,x)\]
lsm_l_mutinf(landscape, neighbourhood, ordered, base)# S3 method for RasterLayer
lsm_l_mutinf(landscape, neighbourhood = 4, ordered = TRUE, base = "log2")
# S3 method for RasterStack
lsm_l_mutinf(landscape, neighbourhood = 4, ordered = TRUE, base = "log2")
# S3 method for RasterBrick
lsm_l_mutinf(landscape, neighbourhood = 4, ordered = TRUE, base = "log2")
# S3 method for stars
lsm_l_mutinf(landscape, neighbourhood = 4, ordered = TRUE, base = "log2")
# S3 method for list
lsm_l_mutinf(landscape, neighbourhood = 4, ordered = TRUE, base = "log2")
Raster* Layer, Stack, Brick or a list of rasterLayers.
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.
The type of pairs considered. Either ordered (TRUE) or unordered (FALSE). The default is TRUE.
The unit in which entropy is measured. The default is "log2", which compute entropy in "bits". "log" and "log10" can be also used.
tibble
It disambiguates landscape pattern types characterize
by the same value of an overall complexity (lsm_l_joinent
).
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
# NOT RUN {
lsm_l_mutinf(landscape)
# }
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