# lsm_c_cpland: CPLAND (class level) In r-spatialecology/landscapemetrics: Landscape Metrics for Categorical Map Patterns

## Description

Core area percentage of landscape (Core area metric)

## Usage

  1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 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.

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.

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

lsm_p_core and lsm_l_ta
 1 lsm_c_cpland(landscape)