label | R Documentation |
Label each patch with a number in a binary matrix
percolation()
detects whether percolation occurs in the
matrix (i.e. a patch has a width or a height equal to the size of the
matrix)
label( mat, nbmask = matrix(c(0, 1, 0, 1, 0, 1, 0, 1, 0), ncol = 3), wrap = FALSE ) percolation(mat, nbmask = matrix(c(0, 1, 0, 1, 0, 1, 0, 1, 0), ncol = 3))
mat |
A binary matrix |
nbmask |
a "neighboring mask": a matrix with odd dimensions describing which cells are to be considered as neighbors around a cell (see examples). |
wrap |
Whether to wrap around lattice boundaries ('TRUE'/'FALSE'), effectively using periodic boundaries. |
The label
function "labels" the patches of a binary
(TRUE/FALSE) matrix. It returns a matrix of similar height and width,
with integer values representing the ID of each unique patch (contiguous
cells). Empty cells are labelled as NA
.
A matrix containing ID numbers for each connected patch. Default parameters assume 4-cell neighborhood and periodic boundaries. The distribution of patch sizes is returned as the attribute "psd" and the percolation status as "percolation" (whether a TRUE patch has a width or height equal to the size of the matrix).
patchsizes
, patchdistr_sews
data(forestgap) rmat <- matrix(rnorm(100) > .1, ncol = 10) display_matrix(label(rmat)) # With 8-way neighborhood mask and no wrapping around borders nbmask8 <- matrix(c(1,1,1, 1,0,1, 1,1,1), ncol=3) display_matrix(label(rmat, nbmask8, wrap = FALSE)) # On real data: display_matrix(label(forestgap[[5]], nbmask8, wrap = FALSE))
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