Coefficient of variation radius of gyration (Area and edge metric)
lsm_c_gyrate_cv(landscape, directions = 8, cell_center = FALSE)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).
If true, the coordinates of the centroid are forced to be a cell center within the patch.
$$GYRATE_{CV} = cv(GYRATE[patch_{ij}])$$ where \(GYRATE[patch_{ij}]\) equals the radius of gyration of each patch.
GYRATE_CV is an 'Area and edge metric'. The metric summarises each class as the Coefficient of variation of the radius of gyration of all patches belonging to class i. GYRATE measures the distance from each cell to the patch centroid and is based on cell center-to-cell center distances. The metrics characterises both the patch area and compactness. The Coefficient of variation is scaled to the mean and comparable among different landscapes.
If cell_center = TRUE some patches might have several possible cell-center
centroids. In this case, the gyrate index is based on the mean distance of all
cells to all possible cell-center centroids.
Because the metric is based on distances or areas please make sure your data
is valid using check_landscape.
Meters
GYRATE_CV >= 0
Equals GYRATE_CV = 0 if the radius of gyration is identical for all patches. Increases, without limit, as the variation of the radius of gyration 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
Keitt, T. H., Urban, D. L., & Milne, B. T. 1997. Detecting critical scales in fragmented landscapes. Conservation ecology, 1(1).
lsm_p_gyrate,
lsm_c_gyrate_mn,
lsm_c_gyrate_sd,
lsm_l_gyrate_mn,
lsm_l_gyrate_sd,
lsm_l_gyrate_cv
landscape <- terra::rast(landscapemetrics::landscape)
lsm_c_gyrate_cv(landscape)
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