lsm_c_dcad: DCAD (class level)

Description Usage Arguments Details Value References See Also Examples

Description

Disjunct core area density (core area metric)

Usage

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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)

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

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.

Units

Number per 100 hectares

Range

DCAD >= 0

Behaviour

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.

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_c_ndca, lsm_l_ta,
lsm_l_dcad

Examples

1

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