Hi, Thanks to everyone for their advice! It was really helpfull. Geertje
~~~~ Geertje van der Heijden PhD student Tropical Ecology School of Geography University of Leeds Leeds LS2 9JT Tel: (+44)(0)113 3433345 Email: [EMAIL PROTECTED] ________________________________ From: 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 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 AmazĂ´nia - 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.