Convert a square spatial weights matrix to a weights list object
The function converts a square spatial weights matrix, optionally a sparse matrix to a weights list object, optionally adding region IDs from the row names of the matrix, as a sequence of numbers 1:nrow(x), or as given as an argument. The style can be imposed by rebuilting the weights list object internally.
mat2listw(x, row.names = NULL, style="M")
x |
A square non-negative matrix with no NAs representing spatial weights; may be a matrix of class “sparseMatrix” |
row.names |
row names to use for region IDs |
style |
default "M", unknown style; if not "M", passed to |
A listw object with the following members:
style |
"M", meaning matrix style, underlying style unknown, or assigned style argument in rebuilt object |
neighbours |
the derived neighbours list |
weights |
the weights for the neighbours derived from the matrix |
Roger Bivand Roger.Bivand@nhh.no
columbus <- st_read(system.file("shapes/columbus.shp", package="spData")[1], quiet=TRUE)
col005 <- dnearneigh(st_coordinates(st_centroid(st_geometry(columbus),
of_largest_polygon=TRUE)), 0, 0.5, as.character(columbus$NEIGNO))
summary(col005)
col005.w.mat <- nb2mat(col005, zero.policy=TRUE)
col005.w.b <- mat2listw(col005.w.mat)
summary(col005.w.b$neighbours)
diffnb(col005, col005.w.b$neighbours)
col005.w.mat.3T <- kronecker(diag(3), col005.w.mat)
col005.w.b.3T <- mat2listw(col005.w.mat.3T, style="W")
summary(col005.w.b.3T$neighbours)
W <- as(nb2listw(col005, style="W", zero.policy=TRUE), "CsparseMatrix")
col005.spM <- mat2listw(W)
summary(col005.spM$neighbours)
diffnb(col005, col005.spM$neighbours)
IW <- kronecker(Matrix::Diagonal(3), W)
col005.spM.3T <- mat2listw(IW, style="W")
summary(col005.spM.3T$neighbours)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.