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landscapemetrics (version 1.5.6)

lsm_c_nlsi: nLSI (class level)

Description

Normalized landscape shape index (Aggregation metric)

Usage

lsm_c_nlsi(landscape)

Value

tibble

Arguments

landscape

Raster* Layer, Stack, Brick, SpatRaster (terra), stars, or a list of rasterLayers.

Details

$$nLSI = \frac{e_{i} - \min e_{i}} {\max e_{i} - \min e_{i}}$$ where \(e_{i}\) is the total edge length in cell surfaces and \(\min e_{i}\) \(\max e_{i}\) are the minimum and maximum total edge length in cell surfaces, respectively.

nLSI is an 'Aggregation metric'. It is closely related to the lsm_c_lsi and describes the ratio of the actual edge length of class i in relation to the hypothetical range of possible edge lengths of class i (min/max).

Currently, nLSI ignores all background cells when calculating the minimum and maximum total edge length. Also, a correct calculation of the minimum and maximum total edge length is currently only possible for rectangular landscapes.

Units

None

Ranges

0 <= nlsi <= 1

Behaviour

Equals nLSI = 0 when only one squared patch is present. nLSI increases the more disaggregated patches are and equals nLSI = 1 for a maximal disaggregated (i.e. a "checkerboard pattern").

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: https://www.umass.edu/landeco/

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

See Also

lsm_c_lsi lsm_l_lsi

Examples

Run this code
lsm_c_nlsi(landscape)

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