Dear all,
I collected my data from the different agricultural fields every week over a
period of a month.
how can I test for spatial autocorrelation in R with data that are temporally
pseudoreplicated?
I used lme with correlation=corCompSymm(form=~Date) to model temporal
pseudoreplication.
Reg
stion.
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
Anna
Anna Freni Sterrantino
Ph.D Student
Department of Statistics
University of Bologna, Italy
via Belle Arti 41, 40124 BO.
____________
>
> Cheers
>
> Anna
>
>
>
> Anna Freni Sterrantino
> Ph.D Student
> Department of Statistics
> University of Bologna, Italy
> via Belle Arti 41, 40124 BO.
>
>
>
>
> ____
> Da: P.Branco
> A: r-help@r-proje
s.
Cheers
Anna
Anna Freni Sterrantino
Ph.D Student
Department of Statistics
University of Bologna, Italy
via Belle Arti 41, 40124 BO.
Da: P.Branco
A: r-help@r-project.org
Inviato: Martedì 6 ottobre 2009, 13:28:36
Oggetto: [R] Spatial Autocorrelation
Hello,
I have a matrix with the distances among sites. And I have another matrix
with the presence and absence of each species in each site. I would like to
test the spatial autocorrelation among sites.
I have tried to use the function gearymoran of the ade4 package, but error
messages keep po
: 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
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 assumption that there is no
autocorrelation in
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