lsm_c_cpland: CPLAND (class level)

Description Usage Arguments Details Value References See Also Examples

Description

Core area percentage of landscape (Core area metric)

Usage

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lsm_c_cpland(landscape, directions, consider_boundary, edge_depth)

## S3 method for class 'RasterLayer'
lsm_c_cpland(landscape, directions = 8,
  consider_boundary = FALSE, edge_depth = 1)

## S3 method for class 'RasterStack'
lsm_c_cpland(landscape, directions = 8,
  consider_boundary = FALSE, edge_depth = 1)

## S3 method for class 'RasterBrick'
lsm_c_cpland(landscape, directions = 8,
  consider_boundary = FALSE, edge_depth = 1)

## S3 method for class 'stars'
lsm_c_cpland(landscape, directions = 8,
  consider_boundary = FALSE, edge_depth = 1)

## S3 method for class 'list'
lsm_c_cpland(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

CPLAND = (\frac{∑ \limits_{j = 1}^{n} a_{ij}^{core}} {A}) * 100

where a_{ij}^{core} is the core area in square meters and A is the total landscape area in square meters.

CPLAND is a 'Core area metric'. It is the percentage of core area of class i in relation to the total landscape area. A cell is defined as core area if the cell has no neighbour with a different value than itself (rook's case). Because CPLAND is a relative measure, it is comparable among landscapes with different total areas.

Units

Percentage

Range

0 <= CPLAND < 100

Behaviour

Approaches CPLAND = 0 if CORE = 0 for all patches. Increases as the amount of core area increases, i.e. patches become larger while being rather simple in shape.

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_p_core and lsm_l_ta

Examples

1

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