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Coefficient of variation number of disjunct core areas (Core area metric)

Usage

lsm_c_dcore_cv(
  landscape,
  directions = 8,
  consider_boundary = FALSE,
  edge_depth = 1
)

Arguments

landscape

A categorical raster object: SpatRaster; Raster* Layer, Stack, Brick; stars or a list of SpatRasters.

directions

The number of directions in which patches should be connected: 4 (rook's case) or 8 (queen's case).

consider_boundary

Logical if cells that only neighbour the landscape boundary should be considered as core

edge_depth

Distance (in cells) a cell has the be away from the patch edge to be considered as core cell

Value

tibble

Details

$$DCORE_{CV} = cv(NCORE[patch_{ij}])$$ where \(NCORE[patch_{ij}]\) is the number of core areas.

DCORE_CV is an 'Core area metric'. It summarises each class as the Coefficient of variation of all patch areas belonging to class i. A cell is defined as core if the cell has no neighbour with a different value than itself (rook's case). NCORE counts the disjunct core areas, whereby a core area is a 'patch within the patch' containing only core cells. The metric describes the differences among patches of the same class i in the landscape and is easily comparable because it is scaled to the mean.

Units

None

Range

DCORE_CV >= 0

Behaviour

Equals DCORE_CV = 0 if all patches have the same number of disjunct core areas. Increases, without limit, as the variation of number of disjunct core areas increases.

References

McGarigal K., SA Cushman, and E Ene. 2023. FRAGSTATS v4: Spatial Pattern Analysis Program for Categorical Maps. Computer software program produced by the authors; available at the following web site: https://www.fragstats.org

Examples

landscape <- terra::rast(landscapemetrics::landscape)
lsm_c_dcore_cv(landscape)
#> # A tibble: 3 × 6
#>   layer level class    id metric   value
#>   <int> <chr> <int> <int> <chr>    <dbl>
#> 1     1 class     1    NA dcore_cv 159. 
#> 2     1 class     2    NA dcore_cv 143. 
#> 3     1 class     3    NA dcore_cv  77.5