multispati.rtest: Multivariate spatial autocorrelation test

In ade4: Analysis of Ecological Data: Exploratory and Euclidean Methods in Environmental Sciences

Multivariate spatial autocorrelation test

Description

This function performs a multivariate autocorrelation test.

Usage

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

Arguments

dudi	an object of class dudi for the duality diagram analysis
listw	an object of class listw for the spatial dependence of data observations
nrepet	the number of permutations
...	further arguments passed to or from other methods

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
Sébastien Ollier [e-mail]

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("spdep", quietly = TRUE)) {
    data(mafragh)
    maf.listw <- spdep::nb2listw(neig2nb(mafragh$neig))
    maf.pca <- dudi.pca(mafragh$env, scannf = FALSE)
    multispati.rtest(maf.pca, maf.listw)
    maf.pca.ms <- multispati(maf.pca, maf.listw, scannf = FALSE)
    plot(maf.pca.ms)
}

ade4 documentation built on Feb. 16, 2023, 7:58 p.m.