Disjunct core area density (core area metric)
lsm_l_dcad(
landscape,
directions = 8,
consider_boundary = FALSE,
edge_depth = 1
)
tibble
A categorical raster object: SpatRaster; Raster* Layer, Stack, Brick; stars or a list of SpatRasters.
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
$$DCAD = (\frac{\sum \limits_{i = 1}^{m} \sum \limits_{j = 1}^{n} n_{ij}^{core}} {A}) * 10000 * 100$$ where \(n_{ij}^{core}\) is the number of disjunct core areas and \(A\) is the total landscape area in square meters.
DCAD is a 'Core area metric'. It equals the number of disjunct core areas per 100 ha relative to the total area. A disjunct core area is a 'patch within the patch' containing only core cells. A cell is defined as core area if the cell has no neighbour with a different value than itself (rook's case). The metric is relative and therefore comparable among landscapes with different total areas.
Because the metric is based on distances or areas please make sure your data
is valid using check_landscape
.
Number per 100 hectares
DCAD >= 0
Equals DCAD = 0 when DCORE = 0, i.e. no patch contains a disjunct core area. Increases, without limit, as disjunct core areas become more present, i.e. patches becoming larger and less complex.
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
lsm_c_ndca
,
lsm_l_ta
,
lsm_c_dcad
landscape <- terra::rast(landscapemetrics::landscape)
lsm_l_dcad(landscape)
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