lsm_c_core_sd: CORE_SD (class level)

In landscapemetrics: Landscape Metrics for Categorical Map Patterns

CORE_SD (class level)

Description

Standard deviation patch core area (class level)

Usage

lsm_c_core_sd(
  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

CORE_{SD} = sd(CORE[patch_{ij}])

where CORE[patch_{ij}] is the core area in square meters of each patch.

CORE_SD is a 'Core area metric'. It equals the standard deviation 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.

Because the metric is based on distances or areas please make sure your data is valid using check_landscape.

Units

Hectares

Range

CORE_SD >= 0

Behaviour

Equals CORE_SD = 0 if all patches have the same core area. Increases, without limit, as the variation of patch 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_core, sd
lsm_c_core_mn, lsm_c_core_cv,
lsm_l_core_mn, lsm_l_core_sd, lsm_l_core_cv

Examples

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

landscapemetrics documentation built on Sept. 12, 2024, 7:42 a.m.