Hi Bernardo, I suggest you give a look at: Dale MRT & Fortin MJ, 2009. Spatial Autocorrelation and Statistical Tests: Some Solutions. Journal of Agricultural, Biological and Environmental Statistics, 14(2):188-206.
Cheers milton On Tue, Aug 25, 2009 at 1:08 PM, B Garcia Carreras < bernardo.garcia-carrera...@imperial.ac.uk> wrote: > Hi, > > I have two sets of data for a given set of (non-lattice) locations. I would > like to know whether the two are significantly different. This would be > simple enough if it wasn't for the fact that the data is spatially > autocorrelated. I have come across several possible solutions (including > Cliff & Ord which however appears to be for gridded data), or using gls. > However, they don't quite fit the bill (I think). Ideally it would simply > be > a modified t-test which somehow 'takes care' of the spatial > autocorrelation, > and it would be perfect (perhaps asking too much!) if it were a > function/package in R. I could also take the differences between the two > sets and test whether they are significantly different to 0 or not. I get > the impression that this issue must have come up again and again, so I am > hoping someone might know of an appropriate solution! Thank you very much > in > advance for any help! > > Bernardo > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html<http://www.r-project.org/posting-guide.html> > and provide commented, minimal, self-contained, reproducible code. > [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
