In addition to the taskview (below), you might consider using the "sos"
package, something like the following:
sa <- ???'spatial autocorrelation' # 58 matches
sc <- ???'spatial correlation' # 181 matches
s. <- sa|sc # union of the to 'findFn' objects
summary(s.) # 224 links in 57 packages
ins
Hi Paulo,
if your data are distance matrices, you might consider doing a Mantel test,
look at the mantel() function in package vegan. While this is not
technically measuring spatial autocorrelation, it will test for correlation
between the attribute distances and the geographic distances. Also,
Hi Paulo,
you may want to take a look at
http://cran.r-project.org/web/views/Spatial.html
there, you can find all "spatial" packages that
can be useful for your question.
There is also a a mailing list R-sig-geo that where
you can ask all those kind of question.
Hope that this helps.
Cheers
: Victor Landeiro [mailto:[EMAIL PROTECTED]
Sent: 23 October 2007 13:17
To: Geertje Van der Heijden
Cc: [EMAIL PROTECTED]
Subject: Re: [R] Spatial autocorrelation
Hi,
On the online Early articles of the Ecography Journal you can find this paper:
Dormann et al. 2007: Methods to account for spatial
Hi,
On the online Early articles of the Ecography Journal you can find this
paper:
Dormann et al. 2007: Methods to account for spatial autocorrelation in the
analysis of species distributional data: a review. Ecography in press
(Online Early).
This article describe several methods to account for
Hi Geertje,
You should look into linear mixed-effects models. In these you can
incorporate spatial correlation explicitly. The basic function to use
is lme(), but you should do some reading about this type of models
before jumping into it. An excellent resource is the book "Mixed
Effects Mo
Geertje Van der Heijden wrote:
>Hi,
>
>I have collected data on trees from 5 forest plots located within the
>same landscape. Data within the plots are spatially autocorrelated
>(calculated using Moran's I). I would like to do a ANCOVA type of
>analysis combining these five plots, but the assumpti
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