Methods to account for spatial autocorrelation in the analysis of species distributional data: a review

• Published in: Ecography (Copenhagen) Vol. 30; no. 5; pp. 609 - 628
• Main Authors: Dormann, Carsten F, McPherson, Jana M, Araújo, Miguel B, Bivand, Roger, Bolliger, Janine, Carl, Gudrun, Davies, Richard G, Hirzel, Alexandre, Jetz, Walter, Daniel Kissling, W, Kühn, Ingolf, Ohlemüller, Ralf, Peres-Neto, Pedro R, Reineking, Björn, Schröder, Boris, Schurr, Frank M, Wilson, Robert
• Format: Journal Article
• Language: English
• Published: Copenhagen Copenhagen : Blackwell Publishing Ltd 01.10.2007; Blackwell Publishing Ltd; Blackwell Publishing; Blackwell
• Subjects: Animal, plant and microbial ecology; Autocorrelation; Autoregressive models; base maps; biogeography; Biological and medical sciences; climate models; computer software; Correlations; Datasets; Ecological modeling; ecologists; Eigenvectors; environmental impact; equations; Fundamental and applied biological sciences. Psychology; General aspects. Techniques; Landscape ecology; least squares; Methods and techniques (sampling, tagging, trapping, modelling...); Modeling; researchers; Review & Synthesis; spatial data; Spatial models; Species; statistical models; surveys; Spatial distribution; Geographic distribution; Review; Method; Autocorrelation; Species; Distribution range

Species distributional or trait data based on range map (extent-of-occurrence) or atlas survey data often display spatial autocorrelation, i.e. locations close to each other exhibit more similar values than those further apart. If this pattern remains present in the residuals of a statistical model...