lsm_c_dcore_cv function

DCORE_CV (class level)

DCORE_CV (class level)

Coefficient of variation number of disjunct core areas (Core area metric)

lsm_c_dcore_cv( landscape, directions = 8, consider_boundary = FALSE, edge_depth = 1 )

Arguments

  • landscape: A categorical raster object: SpatRaster; Raster* Layer, Stack, Brick; stars or a list of SpatRasters.
  • directions: The number of directions in which patches should be connected: 4 (rook's case) or 8 (queen's case).
  • consider_boundary: Logical if cells that only neighbour the landscape boundary should be considered as core
  • edge_depth: Distance (in cells) a cell has the be away from the patch edge to be considered as core cell

Returns

tibble

Details

DCORECV=cv(NCORE[patchij]) DCORE_{CV} = cv(NCORE[patch_{ij}])

where NCORE[patchij]NCORE[patch_{ij}] is the number of core areas.

DCORE_CV is an 'Core area metric'. It summarises each class as the Coefficient of variation of all patch areas belonging to class i. A cell is defined as core if the cell has no neighbour with a different value than itself (rook's case). NCORE counts the disjunct core areas, whereby a core area is a 'patch within the patch' containing only core cells. 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.

Units

None

Range

DCORE_CV >= 0

Behaviour

Equals DCORE_CV = 0 if all patches have the same number of disjunct core areas. Increases, without limit, as the variation of number of disjunct core areas increases.

Examples

landscape <- terra::rast(landscapemetrics::landscape) lsm_c_dcore_cv(landscape)

References

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

See Also

lsm_p_ncore,

lsm_c_dcore_mn, lsm_c_dcore_sd,

lsm_l_dcore_mn, lsm_l_dcore_sd, lsm_l_dcore_cv