lsm_c_cai_cv: CAI_CV (class level)

Description

Coefficient of variation of core area index (Core area metric)

Usage

lsm_c_cai_cv(landscape, directions, consider_boundary, edge_depth)
# S3 method for RasterLayer
lsm_c_cai_cv(
  landscape,
  directions = 8,
  consider_boundary = FALSE,
  edge_depth = 1
)
# S3 method for RasterStack
lsm_c_cai_cv(
  landscape,
  directions = 8,
  consider_boundary = FALSE,
  edge_depth = 1
)
# S3 method for RasterBrick
lsm_c_cai_cv(
  landscape,
  directions = 8,
  consider_boundary = FALSE,
  edge_depth = 1
)
# S3 method for stars
lsm_c_cai_cv(
  landscape,
  directions = 8,
  consider_boundary = FALSE,
  edge_depth = 1
)
# S3 method for list
lsm_c_cai_cv(
  landscape,
  directions = 8,
  consider_boundary = FALSE,
  edge_depth = 1
)

Arguments

landscape

Raster* Layer, Stack, Brick or a list of rasterLayers.

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

Value

tibble

Details

$$CAI_{CV} = cv(CAI[patch_{ij}]$$ where $CAI[patch_{ij}]$ is the core area index of each patch.

CAI_CV is a 'Core area metric'. The metric summarises each class as the Coefficient of variation of the core area index of all patches belonging to class i. The core area index is the percentage of core area in relation to patch area. A cell is defined as core area if the cell has no neighbour with a different value than itself (rook's case). The metric describes the differences among patches of the same class i in the landscape. Because it is scaled to the mean, it is easily comparable.

Units

Percent

Range

CAI_CV >= 0

Behaviour

Equals CAI_CV = 0 if the core area index is identical for all patches. Increases, without limit, as the variation of the core area indices increases.

References

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: http://www.umass.edu/landeco/research/fragstats/fragstats.html

Examples

Run this code

# NOT RUN {
lsm_c_cai_cv(landscape)

# }

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