spweights.constants | R Documentation |
The function calculates the constants needed for tests of spatial autocorrelation for general weights matrices represented as listw
objects. Note: from spdep 0.3-32, the values of S1 and S2 are returned correctly for both underlying symmetric and asymmetric neighbour lists, before 0.3-32, S1 and S2 were wrong for listw objects based on asymmetric neighbour lists, such as k-nearest neighbours (thanks to Luc Anselin for finding the bug).
spweights.constants(listw, zero.policy=attr(listw, "zero.policy"), adjust.n=TRUE)
Szero(listw)
listw |
a |
zero.policy |
default |
adjust.n |
default TRUE, if FALSE the number of observations is not adjusted for no-neighbour observations, if TRUE, the number of observations is adjusted |
n |
number of zones |
n1 |
n - 1 |
n2 |
n - 2 |
n3 |
n - 3 |
nn |
n * n |
S0 |
global sum of weights |
S1 |
S1 sum of weights |
S2 |
S2 sum of weights |
Roger Bivand Roger.Bivand@nhh.no
Haining, R. 1990 Spatial data analysis in the social and environmental sciences, Cambridge University Press, p. 233; Cliff, A. D., Ord, J. K. 1981 Spatial processes, Pion, p. 19, 21.
nb2listw
data(oldcol)
B <- spweights.constants(nb2listw(COL.nb, style="B"))
W <- spweights.constants(nb2listw(COL.nb, style="W"))
C <- spweights.constants(nb2listw(COL.nb, style="C"))
S <- spweights.constants(nb2listw(COL.nb, style="S"))
U <- spweights.constants(nb2listw(COL.nb, style="U"))
print(data.frame(rbind(unlist(B), unlist(W), unlist(C), unlist(S), unlist(U)),
row.names=c("B", "W", "C", "S", "U")))
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