[R-sig-eco] Handling lots of zero + spatial autocorrelation

[Etienne Laliberté]

Hi Claudia,

I think you'll find the following article most useful:

Dormann, C. F., J. M. McPherson, M. B. Araujo, R. Bivand, J. Bolliger,
G. Carl, R. G. Davies, A. Hirzel, W. Jetz, W. Daniel Kissling, I. Kuhn,
R. Ohlemuller, P. R. Peres-Neto, B. Reineking, B. Schroder, F. M.
Schurr, et R. Wilson. 2007. Methods to account for spatial
autocorrelation in the analysis of species distributional data: a
review. Ecography 30:609-628.  

Cheers

Etienne

Le jeudi 25 mars 2010 à 12:00 +0100, r-sig-ecology-request at r-project.org
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>    1. Handling lots of zero + spatial autocorrelation
>       (Claudia liliana Ballesteros Mejia)
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> Message: 1
> Date: Wed, 24 Mar 2010 12:28:01 -0700 (PDT)
> From: Claudia liliana Ballesteros Mejia <lailaliana78 at yahoo.com>
> To: R-list <r-sig-ecology at r-project.org>
> Subject: [R-sig-eco] Handling lots of zero + spatial autocorrelation
> Message-ID: <344339.76193.qm at web112706.mail.gq1.yahoo.com>
> Content-Type: text/plain
> 
> Dear list,
> 
> I'm trying to model the distribution of records that I have collected in my study area affected by parameters as population density and access. I have non normal distribution of the data,  lots of zeros and an important level of spatial autocorrelation. So, I wonder if there is a way in R to handle at the same time the 3 problems, because so far, I've tried the zero inflation poisson regression but it doesn't take into account the spatial autocorrelation, and gls, but it doesn't solve my problem of the zeros and nonnormal distribution.
> 
> I would appreciate any hint,
> 
> Liliana.
> 
> 
> 
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-- 
Etienne Laliberté
================================
School of Forestry
University of Canterbury
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