Determine Neighbourhood Order Matrix from Binary Adjacency Matrix
Given a square binary adjacency matrix, the function
nbOrder determines the integer matrix of neighbourhood orders
(shortest-path distance) using the function nblag
from the spdep package.
nbOrder(neighbourhood, maxlag = 1)
neighbourhood |
a square, numeric or logical, and usually symmetric matrix with
finite entries (and usually zeros on the diagonal) which indicates
vertex adjacencies, i.e., first-order neighbourhood (interpreted as
|
maxlag |
positive scalar integer specifying an upper bound for the
neighbourhood order. The default (1) just returns the input
neighbourhood matrix (converted to binary integer mode).
|
An integer matrix of neighbourhood orders, i.e., the shortest-path
distance matrix of the vertices.
The dimnames of the input neighbourhood matrix are preserved.
By the end, the function issues a message informing about the
range of maximum neighbourhood order by region.
Sebastian Meyer
nblag from the spdep package, on which this
wrapper depends.
## generate adjacency matrix
set.seed(1)
n <- 6
adjmat <- matrix(0, n, n)
adjmat[lower.tri(adjmat)] <- sample(0:1, n*(n-1)/2, replace=TRUE)
adjmat <- adjmat + t(adjmat)
adjmat
## determine neighbourhood order matrix
if (requireNamespace("spdep")) {
nbmat <- nbOrder(adjmat, maxlag=Inf)
nbmat
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