2007
DOI: 10.1111/j.2007.0906-7590.05171.x
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Abstract: 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 based on such data, one of the key assumptions of standard statistical analyses, that residuals are independent and identically distributed (i.i.d), is violated. The violation of the assumption of i.i.d. residuals m… Show more

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Cited by 2,622 publications
(2,262 citation statements)
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References 111 publications
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“…Therefore, spatial autocorrelation could be a key issue, given the important implications it could have for, for example, model outputs and coefficients (Dormann et al 2007) and for our understanding of patterns of species colonisation/persistence (see e.g. Vater & Matthews 2013), as well as of species occurrence in these harsh habitats.…”
Section: Resultsmentioning
confidence: 99%
See 3 more Smart Citations
“…Therefore, spatial autocorrelation could be a key issue, given the important implications it could have for, for example, model outputs and coefficients (Dormann et al 2007) and for our understanding of patterns of species colonisation/persistence (see e.g. Vater & Matthews 2013), as well as of species occurrence in these harsh habitats.…”
Section: Resultsmentioning
confidence: 99%
“…Secondly, we used spatial generalised linear mixed models, fitted via penalised quasi-likelihood (glmmPQL), with a binomial error. This technique is considered among the best methods to handle this non-normal spatially autocorrelated data (Dormann et al 2007). We then compared the outcomes of GLM and glmmPQL.…”
Section: Data Analysesmentioning
confidence: 99%
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“…A global model was fitted to a subset of 299 sites for which full environmental data were available, using the R statistical package (R Development Core Team 2013). Spatial autocorrelation of model residuals with straight-line distance between sites was tested using Moran's I (Dormann et al 2007). The global model was used to generate a set of all possible models using the R package MuMIn (Bartoñ 2013).…”
Section: Threat Quantificationmentioning
confidence: 99%