lsm_l_circle_sd: CIRCLE_SD (landscape level)

In landscapeecology/landscapemetrics: Landscape Metrics for Categorical Map Patterns

CIRCLE_SD (landscape level)

Description

Standard deviation of related circumscribing circle (Shape metric)

Usage

lsm_l_circle_sd(landscape, directions = 8)

Arguments

landscape	A categorical raster object: SpatRaster; Raster* Layer, Stack, Brick; stars or a list of SpatRasters.
directions	The number of directions in which patches should be connected: 4 (rook's case) or 8 (queen's case).

Details

CIRCLE_{SD} = sd(CIRCLE[patch_{ij}])

where CIRCLE[patch_{ij}] is the related circumscribing circle of each patch.

CIRCLE_SD is a 'Shape metric' and summarises the landscape as the standard deviation of the related circumscribing circle of all patches in the landscape. CIRCLE describes the ratio between the patch area and the smallest circumscribing circle of the patch and characterises the compactness of the patch. The metric describes the differences among all patches of the landscape.

Units

None

Range

CIRCLE_SD >= 0

Behaviour

Equals CIRCLE_SD if the related circumscribing circle is identical for all patches. Increases, without limit, as the variation of related circumscribing circles increases.

Value

tibble

References

McGarigal K., SA Cushman, and E Ene. 2023. FRAGSTATS v4: Spatial Pattern Analysis Program for Categorical Maps. Computer software program produced by the authors; available at the following web site: https://www.fragstats.org

Baker, W. L., and Y. Cai. 1992. The r.le programs for multiscale analysis of landscape structure using the GRASS geographical information system. Landscape Ecology 7: 291-302.

Based on C++ code from Project Nayuki (https://www.nayuki.io/page/smallest-enclosing-circle).

See Also

lsm_p_circle, mean,
lsm_c_circle_mn, lsm_c_circle_sd, lsm_c_circle_cv,
lsm_l_circle_mn, lsm_l_circle_cv

Examples

landscape <- terra::rast(landscapemetrics::landscape)
lsm_l_circle_sd(landscape)

landscapeecology/landscapemetrics documentation built on April 7, 2024, 11:11 p.m.