Drops links to and from or just to a region from a neighbours list. The example corresponds to Fingleton's Table 1, p. 6, for lattices 5 to 19.

1 |

`nb` |
a neighbours list object of class |

`drop` |
either a logical vector the length of |

`sym` |
TRUE for removal of both "row" and "column" links, FALSE for only "row" links |

The function returns an object of class `nb`

with a list of integer vectors containing neighbour region number ids.

Roger Bivand Roger.Bivand@nhh.no

B. Fingleton (1999) Spurious spatial regression: some Monte Carlo results with a spatial unit root and spatial cointegration, Journal of Regional Science 39, pp. 1–19.

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 | ```
rho <- c(0.2, 0.5, 0.95, 0.999, 1.0)
ns <- c(5, 7, 9, 11, 13, 15, 17, 19)
mns <- matrix(0, nrow=length(ns), ncol=length(rho))
rownames(mns) <- ns
colnames(mns) <- rho
mxs <- matrix(0, nrow=length(ns), ncol=length(rho))
rownames(mxs) <- ns
colnames(mxs) <- rho
for (i in 1:length(ns)) {
nblist <- cell2nb(ns[i], ns[i])
nbdropped <- droplinks(nblist, ((ns[i]*ns[i])+1)/2, sym=FALSE)
listw <- nb2listw(nbdropped, style="W", zero.policy=TRUE)
wmat <- listw2mat(listw)
for (j in 1:length(rho)) {
mat <- diag(ns[i]*ns[i]) - rho[j] * wmat
res <- diag(solve(t(mat) %*% mat))
mns[i,j] <- mean(res)
mxs[i,j] <- max(res)
}
}
print(mns)
print(mxs)
``` |

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