Landscape division index (Aggregation metric)
lsm_l_division(landscape, directions)# S3 method for RasterLayer
lsm_l_division(landscape, directions = 8)
# S3 method for RasterStack
lsm_l_division(landscape, directions = 8)
# S3 method for RasterBrick
lsm_l_division(landscape, directions = 8)
# S3 method for stars
lsm_l_division(landscape, directions = 8)
# S3 method for list
lsm_l_division(landscape, directions = 8)
Raster* Layer, Stack, Brick or a list of rasterLayers.
The number of directions in which patches should be connected: 4 (rook's case) or 8 (queen's case).
tibble
$$DIVISON = (1 - \sum \limits_{i = 1}^{m} \sum \limits_{j = 1}^{n} (\frac{a_{ij}} {A}) ^ 2) $$ where \(a_{ij}\) is the area in square meters and \(A\) is the total landscape area in square meters.
DIVISION is an 'Aggregation metric. It can be in as the probability that two
randomly selected cells are not located in the same patch. The landscape
division index is negatively correlated with the effective mesh size (lsm_c_mesh
).
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
Jaeger, J. A. 2000. Landscape division, splitting index, and effective mesh size: new measures of landscape fragmentation. Landscape ecology, 15(2), 115-130.
# NOT RUN {
lsm_l_division(landscape)
# }
Run the code above in your browser using DataLab