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Less than eight (and a half) misconceptions of spatial analysis
Author(s) -
Kühn Ingolf,
Dormann Carsten F.
Publication year - 2012
Publication title -
journal of biogeography
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.7
H-Index - 158
eISSN - 1365-2699
pISSN - 0305-0270
DOI - 10.1111/j.1365-2699.2012.02707.x
Subject(s) - spatial analysis , macroecology , biogeography , confounding , autocorrelation , geography , spatial ecology , statistics , econometrics , ecology , biology , mathematics
Spatial analyses are indispensable analytical tools in biogeography and macroecology. In a recent Guest Editorial, Hawkins ( Journal of Biogeography , 2012, 39 , 1–9) raised several issues related to spatial analyses. While we concur with some points, we here clarify those confounding (1) spatial trends and spatial autocorrelation, and (2) spatial autocorrelation in the response variable and in the residuals. We argue that recognizing spatial autocorrelation in statistical modelling is not only a crucial step in model diagnostics, but that disregarding it is essentially wrong.