Publication Details

Category Text Publication
Reference Category Journals
DOI 10.1016/j.ecolmodel.2007.05.002
Title (Primary) Assessing the validity of autologistic regression
Author Dormann, C.F.
Source Titel Ecological Modelling
Year 2007
Department CLE
Volume 207
Issue 2-4
Page From 234
Page To 242
Language englisch
Keywords Presence-absence data; Spatial autocorrelation; Species distribution analysis
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.
Persistent UFZ Identifier
Dormann, C.F. (2007):
Assessing the validity of autologistic regression
Ecol. Model. 207 (2-4), 234 - 242 10.1016/j.ecolmodel.2007.05.002