grid2nb: Construct neighbours for a GridTopology

In spdep: Spatial Dependence: Weighting Schemes, Statistics

Construct neighbours for a GridTopology

Description

The function builds a neighbours list for a grid topology. It works for a k-dimentional grid topology, k>=1.

Usage

grid2nb(grid, d = [e-mail],
        queen = TRUE, nb = TRUE, self = FALSE)

Arguments

grid	An object of class GridTopology. One can avoid to supply this by just suplying the dimentions in the d argument.
d	A scalar (for one dimentional grid) or a length k vector specyfying the number of grid cells in each direction of the k dimentions.
queen	Logical. Default is TRUE. To inform if the queen neighbourhood structure should be considered. If FALSE, only a hyper-cube with a common face will be considered neighbour. If TRUE, a single shared coordinate meets the contiguity condition.
nb	Default TRUE. If TRUE, return the result as a neighbours list with class nb. If FALSE, the result is a matrix with 3^k columns if self = TRUE or 3^k-1 if self = FALSE. Zeros are used for hyper-cubes at boundaries.
self	Default FALSE, to indicate if the hyper-cube neighbour itself should be considered a neighbour.

Value

Either a matrix, if “nb” is FALSE or a neighbours list with class nb. See card for details of “nb” objects.

Note

This applies to a k-dimentional grid topology.

Author(s)

Elias T Krainski [e-mail]

See Also

poly2nb, summary.nb, card

Examples

nb <- grid2nb(d = c(5L, 5L, 5L))
nb
summary(nb)
if (require("sp", quietly=TRUE)) {
gt <- GridTopology(c(.125,.1), c(.25,.2), c(4L, 5L))
nb1 <- grid2nb(gt, queen = FALSE)
nb2 <- grid2nb(gt)

sg <- SpatialGrid(gt)
plot(sg, lwd=3)
plot(nb1, coordinates(sg), add=TRUE, lty=2, col=2, lwd=2)
plot(nb2, coordinates(sg), add=TRUE, lty=3, col=4)

str(grid2nb(d=5))
}

spdep documentation built on Nov. 23, 2023, 9:06 a.m.