lee: Compute Lee's statistic
In spdep: Spatial Dependence: Weighting Schemes, Statistics and Models

Description Usage Arguments Value Author(s) References See Also Examples

A simple function to compute Lee's L statistic for bivariate spatial data;

L(x,y) = (n sum_i (sum_j w_ij (x_i - xbar)) (sum_j w_ij (y_j - ybar))) / (S2 sqrt(sum_i (x_i - xbar)^2)) sqrt(sum_i (x_i - xbar)^2))

1	lee(x, y, listw, n, S2, zero.policy=NULL, NAOK=FALSE)

`x`	a numeric vector the same length as the neighbours list in listw
`y`	a numeric vector the same length as the neighbours list in listw
`listw`	a `listw` object created for example by `nb2listw`
`n`	number of zones
`S2`	Sum of squared sum of weights by rows.
`zero.policy`	default NULL, use global option value; if TRUE assign zero to the lagged value of zones without neighbours, if FALSE assign NA
`NAOK`	if 'TRUE' then any 'NA' or 'NaN' or 'Inf' values in x are passed on to the foreign function. If 'FALSE', the presence of 'NA' or 'NaN' or 'Inf' values is regarded as an error.

a list of

`L`	Lee's L statistic
`local L`	Lee's local L statistic

Roger Bivand and Virgiio GÃ³mez-Rubio Virgilio.Gomez@uclm.es

Lee (2001). Developing a bivariate spatial association measure: An integration of Pearson's r and Moran's I. J Geograph Syst 3: 369-385

lee.mc

data(boston)
lw<-nb2listw(boston.soi)

x<-boston.c$CMEDV
y<-boston.c$CRIM
z<-boston.c$RAD

Lxy<-lee(x, y, lw, length(x), zero.policy=TRUE)
Lxz<-lee(x, z, lw, length(x), zero.policy=TRUE)