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landscapemetrics (version 2.1.4)

lsm_c_shape_cv: SHAPE_CV (class level)

Description

Covariance of variation shape index (Shape metric)

Usage

lsm_c_shape_cv(landscape, directions = 8)

Value

tibble

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).

Details

$$SHAPE_{CV} = cv(SHAPE[patch_{ij}])$$ where \(SHAPE[patch_{ij}]\) is the shape index of each patch.

SHAPE_CV is a 'Shape metric'. Each class is summarised as the Coefficient of variation of each patch belonging to class i. SHAPE describes the ratio between the actual perimeter of the patch and the square root of patch area.

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

Units

None

Range

SHAPE_CV >= 0

Behaviour

Equals SHAPE_CV = 0 if all patches have an identical shape index. Increases, without limit, as the variation of the shape index 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

Patton, D. R. 1975. A diversity index for quantifying habitat "edge". Wildl. Soc.Bull. 3:171-173.

See Also

lsm_p_shape,
lsm_c_shape_mn, lsm_c_shape_sd,
lsm_l_shape_mn, lsm_l_shape_sd, lsm_l_shape_cv

Examples

Run this code
landscape <- terra::rast(landscapemetrics::landscape)
lsm_c_shape_cv(landscape)

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