Curiosity and Google lead me to this paper which may be of interest: Assessing the validity of autologistic regression Purchase the full-text article
References and further reading may be available for this article. To view references and further reading you must purchase this article. Carsten F. DormannCorresponding Author Contact Information, a, E-mail The Corresponding Author aDepartment of Computational Landscape Ecology, UFZ Centre for Environmental Research, Permoserstr. 15, 04318 Leipzig, Germany Received 11 July 2006; revised 30 April 2007; accepted 7 May 2007. Available online 20 June 2007. Abstract In autologistic regression models employed in the analysis of species’ spatial distributions, an additional explanatory variable, the autocovariate, is used to correct the effect of spatial autocorrelation. The values of the autocovariate depend on the values of the response variable in the neighbourhood. While this approach has been widely used over the last ten years in biogeographical analyses, it has not been assessed for its validity and performance against artificial simulation data with known properties. I here present such an assessment, varying the range and strength of spatial autocorrelation in the data as well as the prevalence of the focal species. Autologistic regression models consistently underestimate the effect of the environmental variable in the model and give biased estimates compared to a non-spatial logistic regression. A comparison with other methods available for the correction of spatial autocorrelation shows that autologistic regression is more biased and less reliable and hence should be used only in concert with other reference methods. charlotte.bell wrote: > > Hi, > > I have spatially autocorrelated data (with a binary response variable and > continuous predictor variables). I believe I need to do an autologistic > model, does anyone know a method for doing this in R? > > Many thanks > > C Bell > > ______________________________________________ > 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. > > -- View this message in context: http://www.nabble.com/autologistic-modelling-in-R-tp21072582p21108851.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.
