CORE_CV (class level)

Coefficient of variation of core area (Core area metric)

Usage

lsm_c_core_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

$$CORE_{CV} = cv(CORE[patch_{ij}])$$ where $CORE[patch_{ij}]$ is the core area in square meters of each patch.

CORE_CV is a 'Core area metric'. It equals the Coefficient of variation of the core area of each patch belonging to class i. The core area is defined as all cells that have no neighbour with a different value than themselves (rook's case). 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.

Because the metric is based on distances or areas please make sure your data is valid using check_landscape.

Units

Hectares

Range

CORE_CV >= 0

Behaviour

Equals CORE_CV = 0 if all patches have the same core area. Increases, without limit, as the variation of patch 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_core_cv(landscape)
#> # A tibble: 3 × 6
#>   layer level class    id metric  value
#>   <int> <chr> <int> <int> <chr>   <dbl>
#> 1     1 class     1    NA core_cv  189.
#> 2     1 class     2    NA core_cv  171.
#> 3     1 class     3    NA core_cv  102.