Standard deviation of Contiguity index (Shape metric)
lsm_c_contig_sd(landscape, directions)# S3 method for RasterLayer
lsm_c_contig_sd(landscape, directions = 8)
# S3 method for RasterStack
lsm_c_contig_sd(landscape, directions = 8)
# S3 method for RasterBrick
lsm_c_contig_sd(landscape, directions = 8)
# S3 method for stars
lsm_c_contig_sd(landscape, directions = 8)
# S3 method for list
lsm_c_contig_sd(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
$$CONTIG_{SD} = sd(CONTIG[patch_{ij}])$$
where \(CONTIG[patch_{ij}]\) is the contiguity of each patch.
CONTIG_SD is a 'Shape metric'. It summarises each class as the mean of each patch belonging to class i. CONTIG_SD asses the spatial connectedness (contiguity) of cells in patches. The metric coerces patch values to a value of 1 and the background to NA. A nine cell focal filter matrix:
filter_matrix <- matrix(c(1, 2, 1, 2, 1, 2, 1, 2, 1), 3, 3, byrow = T)
... is then used to weight orthogonally contiguous pixels more heavily than diagonally contiguous pixels. Therefore, larger and more connections between patch cells in the rookie case result in larger contiguity index values.
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
LaGro, J. 1991. Assessing patch shape in landscape mosaics. Photogrammetric Engineering and Remote Sensing, 57(3), 285-293
lsm_p_contig
,
lsm_c_contig_mn
,
lsm_c_contig_cv
,
lsm_l_contig_mn
,
lsm_l_contig_sd
,
lsm_l_contig_cv
# NOT RUN {
lsm_c_contig_sd(landscape)
# }
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