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PARA_CV (class level)

Source: R/lsm_c_para_cv.R
lsm_c_para_cv.Rd

Coefficient of variation perimeter-area ratio (Shape metric)

Usage

lsm_c_para_cv(landscape, directions = 8)

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).

Value

tibble

Details

$$PARA_{CV} = cv(PARA[patch_{ij}]$$ where \(PARA[patch_{ij}]\) is the perimeter area ratio of each patch.

PARA_CV is a 'Shape metric'. It summarises each class as the Coefficient of variation of each patch belonging to class i. The perimeter-area ratio describes the patch complexity in a straightforward way. However, because it is not standarised to a certain shape (e.g. a square), it is not scale independent, meaning that increasing the patch size while not changing the patch form will change the ratio.

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

Units

None

Range

PARA_CV >= 0

Behaviour

Equals PARA_CV = 0 if the perimeter-area ratio is identical for all patches. Increases, without limit, as the variation of the perimeter-area ratio 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

See also

lsm_p_para,
lsm_c_para_mn, lsm_c_para_sd,
lsm_l_para_mn, lsm_l_para_sd, lsm_l_para_cv

Examples

landscape <- terra::rast(landscapemetrics::landscape)
lsm_c_para_cv(landscape)
#> # A tibble: 3 × 6
#>   layer level class    id metric  value
#>   <int> <chr> <int> <int> <chr>   <dbl>
#> 1     1 class     1    NA para_cv  53.1
#> 2     1 class     2    NA para_cv  56.5
#> 3     1 class     3    NA para_cv  48.3