Description Usage Arguments Details Value References See Also Examples

Mutual information

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 | ```
lsm_l_mutinf(landscape, neighbourhood, ordered, base)
## S3 method for class 'RasterLayer'
lsm_l_mutinf(landscape, neighbourhood = 4,
ordered = TRUE, base = "log2")
## S3 method for class 'RasterStack'
lsm_l_mutinf(landscape, neighbourhood = 4,
ordered = TRUE, base = "log2")
## S3 method for class 'RasterBrick'
lsm_l_mutinf(landscape, neighbourhood = 4,
ordered = TRUE, base = "log2")
## S3 method for class 'stars'
lsm_l_mutinf(landscape, neighbourhood = 4,
ordered = TRUE, base = "log2")
## S3 method for class 'list'
lsm_l_mutinf(landscape, neighbourhood = 4,
ordered = TRUE, base = "log2")
``` |

`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. |

It disambiguates landscape pattern types characterize
by the same value of an overall complexity (`lsm_l_joinent`

).

tibble

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

`lsm_l_ent`

,
`lsm_l_condent`

,
`lsm_l_joinent`

,

1 |

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