lsm_c_cai_sd: CAI_SD (class level)

Description Usage Arguments Details Value References See Also Examples

Description

Standard deviation of core area index (Core area metric)

Usage

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lsm_c_cai_sd(landscape, directions, consider_boundary, edge_depth)

## S3 method for class 'RasterLayer'
lsm_c_cai_sd(landscape, directions = 8,
  consider_boundary = FALSE, edge_depth = 1)

## S3 method for class 'RasterStack'
lsm_c_cai_sd(landscape, directions = 8,
  consider_boundary = FALSE, edge_depth = 1)

## S3 method for class 'RasterBrick'
lsm_c_cai_sd(landscape, directions = 8,
  consider_boundary = FALSE, edge_depth = 1)

## S3 method for class 'stars'
lsm_c_cai_sd(landscape, directions = 8,
  consider_boundary = FALSE, edge_depth = 1)

## S3 method for class 'list'
lsm_c_cai_sd(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

Details

CAI_{SD} = sd(CAI[patch_{ij}]

where CAI[patch_{ij}] is the core area index of each patch.

CAI_SD is a 'Core area metric'. The metric summarises each class as the standard deviation 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.

Units

Percent

Range

CAI_SD >= 0

Behaviour

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

Value

tibble

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

See Also

lsm_p_cai, sd,
lsm_c_cai_mn, lsm_c_cai_cv,
lsm_l_cai_mn, lsm_l_cai_sd, lsm_l_cai_cv

Examples

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r-spatialecology/landscapemetrics documentation built on May 20, 2019, noon