Description Usage Arguments Details Value References See Also Examples

Disjunct core area density (core area metric)

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 | ```
lsm_c_dcad(landscape, directions, consider_boundary, edge_depth)
## S3 method for class 'RasterLayer'
lsm_c_dcad(landscape, directions = 8,
consider_boundary = FALSE, edge_depth = 1)
## S3 method for class 'RasterStack'
lsm_c_dcad(landscape, directions = 8,
consider_boundary = FALSE, edge_depth = 1)
## S3 method for class 'RasterBrick'
lsm_c_dcad(landscape, directions = 8,
consider_boundary = FALSE, edge_depth = 1)
## S3 method for class 'stars'
lsm_c_dcad(landscape, directions = 8,
consider_boundary = FALSE, edge_depth = 1)
## S3 method for class 'list'
lsm_c_dcad(landscape, directions = 8,
consider_boundary = FALSE, edge_depth = 1)
``` |

`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 |

*DCAD = (\frac{∑ \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.

Number per 100 hectares

DCAD >= 0

Equals DCAD = 0 when DCORE = 0, i.e. no patch of class i contains a disjunct core area. Increases, without limit, as disjunct core areas become more present, i.e. patches becoming larger and less complex.

tibble

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_c_ndca`

,
`lsm_l_ta`

,

`lsm_l_dcad`

1 |

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