landscapemetrics (version 1.4.4)

lsm_c_para_cv: PARA_CV (class level)

Description

Coefficient of variation perimeter-area ratio (Shape metric)

Usage

lsm_c_para_cv(landscape, directions)

# S3 method for RasterLayer lsm_c_para_cv(landscape, directions = 8)

# S3 method for RasterStack lsm_c_para_cv(landscape, directions = 8)

# S3 method for RasterBrick lsm_c_para_cv(landscape, directions = 8)

# S3 method for stars lsm_c_para_cv(landscape, directions = 8)

# S3 method for list lsm_c_para_cv(landscape, directions = 8)

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).

Value

tibble

Details

$$PARA_{CV} = cv(PARA[patch_{ij}]$$ where \(PARA[patch_{ij}]\) is the perimeter area ratio of each patch.

PARA_CV is a 'Shape metric'. It summarises each class as the Coefficient of variation of each patch belonging to class i. The perimeter-area ratio describes the patch complexity in a straightforward way. However, because it is not standarised to a certain shape (e.g. a square), it is not scale independent, meaning that increasing the patch size while not changing the patch form will change the ratio.

Units

None

Range

PARA_CV >= 0

Behaviour

Equals PARA_CV = 0 if the perimeter-area ratio is identical for all patches. Increases, without limit, as the variation of the perimeter-area ratio increases.

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_para, cv, lsm_c_para_mn, lsm_c_para_sd, lsm_l_para_mn, lsm_l_para_sd, lsm_l_para_cv

Examples

Run this code
# NOT RUN {
lsm_c_para_cv(landscape)

# }

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