Coefficient of variation shape index (Shape metric)
lsm_l_shape_cv(landscape, directions)# S3 method for RasterLayer
lsm_l_shape_cv(landscape, directions = 8)
# S3 method for RasterStack
lsm_l_shape_cv(landscape, directions = 8)
# S3 method for RasterBrick
lsm_l_shape_cv(landscape, directions = 8)
# S3 method for stars
lsm_l_shape_cv(landscape, directions = 8)
# S3 method for list
lsm_l_shape_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
$$SHAPE_{CV} = cv(SHAPE[patch_{ij}])$$ 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.
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
Patton, D. R. 1975. A diversity index for quantifying habitat "edge". Wildl. Soc.Bull. 3:171-173.
lsm_p_shape
,
cv
,
lsm_c_shape_mn
,
lsm_c_shape_sd
,
lsm_c_shape_cv
,
lsm_l_shape_mn
,
lsm_l_shape_sd
# NOT RUN {
lsm_l_shape_cv(landscape)
# }
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