Spatial Analysis: A Guide for Ecologists

By Trevor C. Bailey. 2006

1,045 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/b97413e88a9beccaa2545d261a260d2e6ac35f18

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In Global and Planetary Change

Citations in the corpus

The combined influence of riverine barriers and flooding gradients on biogeographical patterns for amphibians and squamates in south‐eastern Amazonia (2016, background): “These differences may be the result of species endogenous processes, such as intrinsic ecological requirements related to reproduction, behavioural and physiological constraints, which restrict their distributional ranges (Dale & Fortin, 2014).”
Less than eight (and a half) misconceptions of spatial analysis (2012, background): “We cannot find any support in either Cressie (1993) or ª 2012 Blackwell Publishing Ltd 995 Fortin & Dale (2005) for this point, while Dutilleul (1993, p. 305) appears to state the exact opposite of what Hawkins is claiming: [SA] produces a bias in the estimation of correlation coefficients .”
Uncovering the complete biodiversity structure in spatial networks: the example of riverine systems (2020, background): “While most classical statistical techniques assume the independence of samples, specific spatial statistics have been developed to incorporate spatial autocorrelation into models when this assumption of independence is violated (Fortin and Dale 2005).”
Are richness patterns of common and rare species equally well explained by environmental variables (2011, methodology): “…spatially structured random effects (that is, spatially correlated residuals), fitted using penalised quasi-likelihood, to deal with the potential difficulties caused by residual spatial autocorrelation (Cressie 1993, Lennon 2000, Fortin and Dale 2005, Dormann 2007, Kühn 2007, Beale et al. 2010).”
Thresholds in the relationship between functional diversity and patch size for mammals in the Brazilian Atlantic Forest (2015, methodology): “First, we assessed the spatial autocorrelation (Fortin & Dale, 2005) of our data using the ‘mantel.rtest’ function (Monte-Carlo test, using 9999 repetitions) of the ‘ade4’ package (Dray & Dufour, 2007).”
Factors and mechanisms explaining spatial heterogeneity: a review of methods for insect populations (2011, background): “The second SADIE index is based on the total movement necessary to get the same number of individuals in each quadrat (Fortin & Dale 2005).”
Community ecology in the age of multivariate multiscale spatial analysis (2012, background): “Key words: ecological community; multivariate spatial data; ordination; spatial autocorrelation; spatial connectivity; spatial eigenfunction; spatial structure; spatial weight.”
Ecological assembly rules in plant communities—approaches, patterns and prospects (2012, background): “Some authors also distinguish interval (sometimes called focus) as a further component of spatial scale (Fortin & Dale, 2005).”
Habitat selection of breeding riparian birds in an urban environment: untangling the relative importance of biophysical elements and spatial scale (2011, methodology): “To determine whether spatial autocorrelation was problematic in our data, we examined Moran’s I correlograms (Fortin & Dale, 2005) of OLS model residuals taken from the best model (DAICc = 0) from the model selection routine that included the best local vegetation-only model, landscape-only models…”