Coefficient of variation of core area (Core area metric)
lsm_c_core_cv(
landscape,
directions = 8,
consider_boundary = FALSE,
edge_depth = 1
)
tibble
Raster* Layer, Stack, Brick, SpatRaster (terra), stars, or a list of rasterLayers.
The number of directions in which patches should be connected: 4 (rook's case) or 8 (queen's case).
Logical if cells that only neighbour the landscape boundary should be considered as core
Distance (in cells) a cell has the be away from the patch edge to be considered as core cell
$$CORE_{CV} = cv(CORE[patch_{ij}])$$ where \(CORE[patch_{ij}]\) is the core area in square meters of each patch.
CORE_CV is a 'Core area metric'. It equals the Coefficient of variation of the core area of each patch belonging to class i. The core area is defined as all cells that have no neighbour with a different value than themselves (rook's case). The metric describes the differences among patches of the same class i in the landscape and is easily comparable because it is scaled to the mean.
Hectares
CORE_CV >= 0
Equals CORE_CV = 0 if all patches have the same core area. Increases, without limit, as the variation of patch core areas increases.
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/
lsm_p_core
,
cv
,
lsm_c_core_mn
,
lsm_c_core_sd
,
lsm_l_core_mn
,
lsm_l_core_sd
,
lsm_l_core_cv