lsm_c_dcore_cv: DCORE_CV (class level)

In landscapemetrics: Landscape Metrics for Categorical Map Patterns

DCORE_CV (class level)

Description

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

Usage

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

Details

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

where 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.

Value

tibble

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

Examples

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

landscapemetrics documentation built on Oct. 3, 2023, 5:06 p.m.