Coefficient of variation of related circumscribing circle (Shape metric)
lsm_l_circle_cv(landscape, directions = 8)tibble
A categorical raster object: SpatRaster; Raster* Layer, Stack, Brick; stars or a list of SpatRasters.
The number of directions in which patches should be connected: 4 (rook's case) or 8 (queen's case).
$$CIRCLE_{CV} = cv(CIRCLE[patch_{ij}])$$ where \(CIRCLE[patch_{ij}]\) is the related circumscribing circle of each patch.
CIRCLE_CV is a 'Shape metric' and summarises the landscape as the Coefficient of variation of the related circumscribing circle of all patches in the landscape. CIRCLE describes the ratio between the patch area and the smallest circumscribing circle of the patch and characterises the compactness of the patch. CIRCLE_CV describes the differences among all patches in the landscape. Because it is scaled to the mean, it is easily comparable.
Because the metric is based on distances or areas please make sure your data
is valid using check_landscape.
None
CIRCLE_CV >= 0
Equals CIRCLE_CV if the related circumscribing circle is identical for all patches. Increases, without limit, as the variation of related circumscribing circles increases.
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
Baker, W. L., and Y. Cai. 1992. The r.le programs for multiscale analysis of landscape structure using the GRASS geographical information system. Landscape Ecology 7: 291-302.
Based on C++ code from Project Nayuki (https://www.nayuki.io/page/smallest-enclosing-circle).
lsm_p_circle,
mean,
lsm_c_circle_mn,
lsm_c_circle_sd,
lsm_c_circle_cv,
lsm_l_circle_mn,
lsm_l_circle_sd
landscape <- terra::rast(landscapemetrics::landscape)
lsm_l_circle_cv(landscape)
Run the code above in your browser using DataLab