lsm_c_shape_cv: SHAPE_CV (class level)

View source: R/lsm_c_shape_cv.R

lsm_c_shape_cvR Documentation

SHAPE_CV (class level)

Description

Covariance of variation shape index (Shape metric)

Usage

lsm_c_shape_cv(landscape, directions = 8)

Arguments

landscape

Raster* Layer, Stack, Brick, SpatRaster (terra), stars, or a list of rasterLayers.

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 hypothetical minimum perimeter of the patch. The minimum perimeter equals the perimeter if the patch would be maximally compact.

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.

Value

tibble

References

McGarigal, K., SA Cushman, and E Ene. 2012. FRAGSTATS v4: Spatial Pattern Analysis Program for Categorical and Continuous Maps. Computer software program produced by the authors at the University of Massachusetts, Amherst. Available at the following web site: https://www.umass.edu/landeco/

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

See Also

lsm_p_shape, cv,
lsm_c_shape_mn, lsm_c_shape_sd,
lsm_l_shape_mn, lsm_l_shape_sd, lsm_l_shape_cv

Examples

lsm_c_shape_cv(landscape)


landscapemetrics documentation built on Nov. 1, 2022, 1:07 a.m.