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
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