lsm_c_para_cv() R function from [landscapemetrics]

PARA_CV (class level)

Coefficient of variation perimeter-area ratio (Shape metric)


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).

Returns

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.

Examples


landscape <- terra::rast(landscapemetrics::landscape)
lsm_c_para_cv(landscape)

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

lsm_c_para_cv function