Coefficient of variation of related circumscribing circle (Shape metric)
lsm_l_circle_cv(landscape, directions)# S3 method for RasterLayer
lsm_l_circle_cv(landscape, directions = 8)
# S3 method for RasterStack
lsm_l_circle_cv(landscape, directions = 8)
# S3 method for RasterBrick
lsm_l_circle_cv(landscape, directions = 8)
# S3 method for stars
lsm_l_circle_cv(landscape, directions = 8)
# S3 method for list
lsm_l_circle_cv(landscape, directions = 8)
Raster* Layer, Stack, Brick or a list of rasterLayers.
The number of directions in which patches should be connected: 4 (rook's case) or 8 (queen's case).
tibble
$$CIRCLE_{CV} = cv(CIRCLE[patch_{ij}])$$ 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.
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: http://www.umass.edu/landeco/research/fragstats/fragstats.html
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
# NOT RUN {
lsm_l_circle_cv(landscape)
# }
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