2008
DOI: 10.1590/s1519-69842008000200003
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Abstract: Spatial autocorrelation is the lack of independence between pairs of observations at given distances within a geographical space, a phenomenon commonly found in ecological data. Taking into account spatial autocorrelation when evaluating problems in geographical ecology, including gradients in species richness, is important to describe both the spatial structure in data and to correct the bias in Type I errors of standard statistical analyses. However, to effectively solve these problems it is necessary to est… Show more

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Cited by 8 publications
(19 citation statements)
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“…Secondly, spatial patterns in response and predictor variables, as well as in model residuals, were assessed via Moran's I coefficients (Legendre & Legendre, 1998;Diniz-Filho et al, 2003). The spatial relationship among cells covering the Cerrado was based on a Gabriel's network (Figure 1b) (see Legendre & Legendre, 1998;Vieira et al, 2008). In Gabriel network, two cells are connected by an edge (are "linked") if the circle whose diameter links the two cell centroids does not include any other centroid.…”
Section: Discussionmentioning
confidence: 99%
“…Secondly, spatial patterns in response and predictor variables, as well as in model residuals, were assessed via Moran's I coefficients (Legendre & Legendre, 1998;Diniz-Filho et al, 2003). The spatial relationship among cells covering the Cerrado was based on a Gabriel's network (Figure 1b) (see Legendre & Legendre, 1998;Vieira et al, 2008). In Gabriel network, two cells are connected by an edge (are "linked") if the circle whose diameter links the two cell centroids does not include any other centroid.…”
Section: Discussionmentioning
confidence: 99%
“…There are a number of autoregressive models (Tognelli and Kelt 2004;Dormann et al 2007), and the simplest one I used was adopted from previous works (Diniz-Filho et al 1998;Dormann 2007;Vieira et al 2008;Diniz-Filho et al 2012):…”
Section: Autoregressive Spatial Modelingmentioning
confidence: 99%
“…There are numerous possible weighting matrices, W; a simple one is the matrix identical to that defined in Moran's I formula as in Equation 2. Another option for the weighting matrix, W, was derived from a previous study (Vieira et al 2008), each element of which is written as…”
Section: Autoregressive Spatial Modelingmentioning
confidence: 99%
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