lsm_l_ai {landscapemetrics} | R Documentation |
AI (landscape level)
Description
Aggregation index (Aggregation metric)
Usage
lsm_l_ai(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
AI = \Bigg[\sum\limits_{i=1}^m \Big( \frac{g_{ii}}{max-g_{ii}} \Big) P_{i} \Bigg](100)
where g_{ii}
is the number of like adjacencies based on the single-count method and
max-g_{ii}
is the classwise maximum number of like adjacencies of class i and P_{i}
the proportion of landscape compromised of class i.
AI is an 'Aggregation metric'. It equals the number of like adjacencies divided by the theoretical maximum possible number of like adjacencies for that class summed over each class for the entire landscape. The metric is based on the adjacency matrix and the single-count method.
Units
Percent
Range
0 <= AI <= 100
Behaviour
Equals 0 for maximally disaggregated and 100 for maximally aggregated classes.
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
He, H. S., DeZonia, B. E., & Mladenoff, D. J. 2000. An aggregation index (AI) to quantify spatial patterns of landscapes. Landscape ecology, 15(7), 591-601.
See Also
Examples
landscape <- terra::rast(landscapemetrics::landscape)
lsm_l_ai(landscape)