lsm_l_shape_cv: SHAPE_CV (landscape level)

In landscapemetrics: Landscape Metrics for Categorical Map Patterns

SHAPE_CV (landscape level)

Description

Coefficient of variation shape index (Shape metric)

Usage

lsm_l_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'. The landscape is summarised as the Coefficient of variation of all patches in the landscape. 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_c_shape_cv, lsm_l_shape_mn, lsm_l_shape_sd

Examples

lsm_l_shape_cv(landscape)

landscapemetrics documentation built on March 31, 2023, 7:28 p.m.