Description Usage Arguments Details Value References See Also Examples

Coefficient of variation fractal dimension index (Shape metric)

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | ```
lsm_l_frac_cv(landscape, directions)
## S3 method for class 'RasterLayer'
lsm_l_frac_cv(landscape, directions = 8)
## S3 method for class 'RasterStack'
lsm_l_frac_cv(landscape, directions = 8)
## S3 method for class 'RasterBrick'
lsm_l_frac_cv(landscape, directions = 8)
## S3 method for class 'stars'
lsm_l_frac_cv(landscape, directions = 8)
## S3 method for class 'list'
lsm_l_frac_cv(landscape, directions = 8)
``` |

`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). |

*FRAC_{CV} = cv(FRAC[patch_{ij}])*

where *FRAC[patch_{ij}]* equals the fractal dimension index of each patch.

FRAC_CV is a 'Shape metric'. The metric summarises the landscape as the Coefficient of variation of the fractal dimension index of all patches in the landscape. The fractal dimension index is based on the patch perimeter and the patch area and describes the patch complexity. The Coefficient of variation is scaled to the mean and comparable among different landscapes.

None

FRAC_CV >= 0

Equals FRAC_CV = 0 if the fractal dimension index is identical for all patches. Increases, without limit, as the variation of the fractal dimension indices increases.

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

Mandelbrot, B. B. 1977. Fractals: Form, Chance, and Dimension. San Francisco. W. H. Freeman and Company.

`lsm_p_frac`

,
`cv`

,

`lsm_c_frac_mn`

,
`lsm_c_frac_sd`

,
`lsm_c_frac_cv`

,

`lsm_l_frac_mn`

,
`lsm_l_frac_sd`

,

1 |

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