lsm_c_nlsi: nLSI (class level)

Description

Normalized landscape shape index (Aggregation metric)

Usage

lsm_c_nlsi(landscape, directions)
# S3 method for RasterLayer
lsm_c_nlsi(landscape, directions = 8)
# S3 method for RasterStack
lsm_c_nlsi(landscape, directions = 8)
# S3 method for RasterBrick
lsm_c_nlsi(landscape, directions = 8)
# S3 method for stars
lsm_c_nlsi(landscape, directions = 8)
# S3 method for list
lsm_c_nlsi(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

$$nLSI = \frac{e_{i}} {\min e_{i}}$$ where $e_{i}$ is the total edge length in cell surfaces and $\min e_{i}$ is the minimum total edge length in cell surfaces

nLSI is an 'Aggregation metric'. It is the ratio between the actual edge length of class i and the hypothetical minimum edge length of class i. The minimum edge length equals the edge length if class i would be maximally aggregated.

Units

None

Ranges

nlsi >= 1

Behaviour

Equals nlsi = 1 when only one squared patch is present or all patches are maximally aggregated. Increases, without limit, as the length of the actual edges increases, i.e. the patches become less compact.

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

Patton, D. R. 1975. A diversity index for quantifying habitat "edge". Wildl. Soc.Bull. 3:171-173.

Examples

Run this code

# NOT RUN {
lsm_c_nlsi(landscape)

# }

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