lee.Rd
A simple function to compute Lee's L statistic for bivariate spatial data; $$L(x,y) = \frac{n}{\sum_{i=1}^{n}(\sum_{j=1}^{n}w_{ij})^2} \frac{\sum_{i=1}^{n}(\sum_{j=1}^{n}w_{ij}(x_i-\bar{x})) ((\sum_{j=1}^{n}w_{ij}(y_j-\bar{y}))}{\sqrt{\sum_{i=1}^{n}(x_i - \bar{x})^2} \sqrt{\sum_{i=1}^{n}(y_i - \bar{y})^2}} $$
lee(x, y, listw, n, S2, zero.policy=attr(listw, "zero.policy"), NAOK=FALSE)
a numeric vector the same length as the neighbours list in listw
a numeric vector the same length as the neighbours list in listw
a listw
object created for example by nb2listw
number of zones
Sum of squared sum of weights by rows.
default attr(listw, "zero.policy")
as set when listw
was created, if attribute not set, use global option value; if TRUE assign zero to the lagged value of zones without neighbours, if FALSE assign NA
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
Lee's L statistic
Lee's local L statistic
Lee (2001). Developing a bivariate spatial association measure: An integration of Pearson's r and Moran's I. J Geograph Syst 3: 369-385