Standard deviation of core area index (Core area metric)
lsm_l_cai_sd(landscape, directions, consider_boundary, edge_depth)# S3 method for RasterLayer
lsm_l_cai_sd(
landscape,
directions = 8,
consider_boundary = FALSE,
edge_depth = 1
)
# S3 method for RasterStack
lsm_l_cai_sd(
landscape,
directions = 8,
consider_boundary = FALSE,
edge_depth = 1
)
# S3 method for RasterBrick
lsm_l_cai_sd(
landscape,
directions = 8,
consider_boundary = FALSE,
edge_depth = 1
)
# S3 method for stars
lsm_l_cai_sd(
landscape,
directions = 8,
consider_boundary = FALSE,
edge_depth = 1
)
# S3 method for list
lsm_l_cai_sd(
landscape,
directions = 8,
consider_boundary = FALSE,
edge_depth = 1
)
Raster* Layer, Stack, Brick or a list of rasterLayers.
The number of directions in which patches should be connected: 4 (rook's case) or 8 (queen's case).
Logical if cells that only neighbour the landscape boundary should be considered as core
Distance (in cells) a cell has the be away from the patch edge to be considered as core cell
tibble
$$CAI_{SD} = sd(CAI[patch_{ij}]$$ 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.
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
# NOT RUN {
lsm_l_cai_sd(landscape)
# }
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