Patch Cohesion Index (Aggregation metric)
lsm_c_cohesion(landscape, directions)# S3 method for RasterLayer
lsm_c_cohesion(landscape, directions = 8)
# S3 method for RasterStack
lsm_c_cohesion(landscape, directions = 8)
# S3 method for RasterBrick
lsm_c_cohesion(landscape, directions = 8)
# S3 method for stars
lsm_c_cohesion(landscape, directions = 8)
# S3 method for list
lsm_c_cohesion(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
$$COHESION = 1 - (\frac{\sum \limits_{j = 1}^{n} p_{ij}} {\sum \limits_{j = 1}^{n} p_{ij} \sqrt{a_{ij}}}) * (1 - \frac{1} {\sqrt{Z}}) ^ {-1} * 100$$ where \(p_{ij}\) is the perimeter in meters, \(a_{ij}\) is the area in square meters and \(Z\) is the number of cells.
COHESION is an 'Aggregation metric'. It characterises the connectedness of patches belonging to class i. It can be used to asses if patches of the same class are located aggregated or rather isolated and thereby COHESION gives information about the configuration of the landscape.
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
Schumaker, N. H. 1996. Using landscape indices to predict habitat connectivity. Ecology, 77(4), 1210-1225.
# NOT RUN {
lsm_c_cohesion(landscape)
# }
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