lsm_l_cai_sd: CAI_SD (landscape level) In r-spatialecology/landscapemetrics: Landscape Metrics for Categorical Map Patterns

Description

Standard deviation of core area index (Core area metric)

Usage

 ``` 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21``` ```lsm_l_cai_sd(landscape, directions, consider_boundary, edge_depth) ## S3 method for class 'RasterLayer' lsm_l_cai_sd(landscape, directions = 8, consider_boundary = FALSE, edge_depth = 1) ## S3 method for class 'RasterStack' lsm_l_cai_sd(landscape, directions = 8, consider_boundary = FALSE, edge_depth = 1) ## S3 method for class 'RasterBrick' lsm_l_cai_sd(landscape, directions = 8, consider_boundary = FALSE, edge_depth = 1) ## S3 method for class 'stars' lsm_l_cai_sd(landscape, directions = 8, consider_boundary = FALSE, edge_depth = 1) ## S3 method for class 'list' lsm_l_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 the landscape as the standard deviation of the core area index of all patches in the landscape. 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 all patches in the landscape.

Percent

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.

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

`lsm_p_cai`, `sd`,
`lsm_c_cai_mn`, `lsm_c_cai_sd`, `lsm_c_cai_cv`,
`lsm_l_cai_mn`, `lsm_l_cai_cv`
 `1` ```lsm_l_cai_sd(landscape) ```