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lsm_l_lsi

LSI (landscape level)


Description

Landscape shape index (Aggregation metric)

Usage

lsm_l_lsi(landscape)

Arguments

landscape

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

Details

LSI = \frac{E} {\min E}

where E is the total edge length in cell surfaces and \min E is the minimum total edge length in cell surfaces.

LSI is an 'Aggregation metric'. It is the ratio between the actual landscape edge length and the hypothetical minimum edge length. The minimum edge length equals the edge length if only one patch would be present.

Units

None

Ranges

LSI >= 1

Behaviour

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

Value

tibble

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.

See Also

Examples

lsm_l_lsi(landscape)

landscapemetrics

Landscape Metrics for Categorical Map Patterns

v1.5.2
GPL-3
Authors
Maximillian H.K. Hesselbarth [aut, cre] (<https://orcid.org/0000-0003-1125-9918>), Marco Sciaini [aut] (<https://orcid.org/0000-0002-3042-5435>), Jakub Nowosad [aut] (<https://orcid.org/0000-0002-1057-3721>), Sebastian Hanss [aut] (<https://orcid.org/0000-0002-3990-4897>), Laura J. Graham [ctb] (Input on package structure), Jeffrey Hollister [ctb] (Input on package structure), Kimberly A. With [ctb] (Input on package structure), Florian Privé [ctb] (Original author of underlying C++ code for get_nearestneighbour() function), Project Nayuki [ctb] (Original author of underlying C++ code for get_circumscribingcircle and lsm_p_circle), Matt Strimas-Mackey [ctb] (Bugfix in sample_metrics())
Initial release

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