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 spatial autocorrelation and include an online appendix with R commands! victor On 10/22/07, Geertje Van der Heijden <[EMAIL PROTECTED]> 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 assumption that there is no > autocorrelation in the residuals is obviously violated. Does anyone have > any ideas how to incorporate these spatial effects in my analysis? I > have been reading up on autoregressive techniques, but I am not sure if > it works with more than one plot. > > All help is greatly appreciated! > > Many thanks, > Geertje van der Heijden > > > > > [[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. > -- Victor Lemes Landeiro Instituto Nacional de Pesquisas da Amazônia - INPA Manaus, Amazonas, Brasil Skype: landeiro (Bloqueado no INPA) Homo notsosapiens (Colin Townsend) [[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.
