[R] a question about spatial autocorrelation in R

From: <smarchesi_at_arpa.emr.it>
Date: Mon, 14 May 2007 09:19:59 +0200


Dear all,

I am currently facing a problem related to the spatial autocorrelation of a sample of stations; these stations supply weekly data for a fixed time-window during the year (namely, 4-6 months per year).

For this reason I'm trying to use the R package 'spdep' (specifically Moran's I) in order to get rid of it.

Does anyone know how is it possible (if it is...) to estimate the spatial autocorrelation of this kind of data ? In other words, in the examples I could only see applications of Moran's I related to a "time-independent" distribution of data from any sample of stations.

Another question's coming up right now: if I change the sample of stations for a future development, is there the chance to get an estimation of the degree of spatial autocorrelation, given only the geographical location of the sampling points ?

Thanks a lot for the attention !!!

Stef



Stefano Marchesi
Environmental Epidemiologic Unit
Environmental Protection Agency - ARPA Emilia Romagna Via Fontanelli 23 - 41100 Modena (Italy) tel: +39 059 433635 (int. 5035)
fax: +39 059 241312
sito web: www.arpa.emr.it/epam

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