Multivariate spatial autocorrelation test

Description

This function performs a multivariate autocorrelation test.

Usage

multispati.rtest(dudi, listw, nrepet = 99)

Arguments

Details

We note X the data frame with the variables, Q the column weight matrix and D the row weight matrix associated to the duality diagram dudi. We note L the neighbouring weights matrix associated to listw. This function performs a Monte-Carlo Test on the multivariate spatial autocorrelation index :

r = t(X)DLXQ / t(X)DXQ

Value

Returns an object of class randtest (randomization tests).

Author(s)

Daniel Chessel
S?bastien Ollier sebastien.ollier@u-psud.fr

References

Smouse, P. E. and Peakall, R. (1999) Spatial autocorrelation analysis of individual multiallele and multilocus genetic structure. Heredity, 82, 561–573.

See Also

dudi,mat2listw

Examples

if (requireNamespace("maptools", quiet = TRUE) & requireNamespace("spdep", quiet = TRUE)) {
    data(mafragh)
    maf.listw <- nb2listw(neig2nb(mafragh$neig))
    maf.pca <- dudi.pca(mafragh$mil, scannf = FALSE)
    multispati.rtest(maf.pca, maf.listw)
    maf.pca.ms <- multispati(maf.pca, maf.listw, scannf=FALSE)
    plot(maf.pca.ms)
}