Coefficient shifts in geographical ecology: an empirical evaluation of spatial and non-spatial regression

By L. Mauricio Bini, J. Diniz-Filho, Thiago Fernando Rangel, T. Akre, R. G. Albaladejo, Fábio Suzart de Albuquerque, A. Aparicio, Miguel B. Araújo, A. Baselga, Jan Beck and 36 more. 2009

287 citations recorded by the source corpus.

Subfields: Ecological Modeling, Global and Planetary Change, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/e2d0b7d71f1ca92eaa978a7ec52f623b4329b6e4

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In Ecological Modeling

In Global and Planetary Change

In Nature and Landscape Conservation

Citations in the corpus

Eight (and a half) deadly sins of spatial analysis (2012, methodology): “Bini et al. (2009) recently compared OLS and eight spatially explicit methods for 97 broad-scale ecological data sets and found that when faced with real data multiple regression is a mess, whether spatially explicit or not.”
What ' s on the horizon for macroecology? (2012, background): “Spatial autocorrelation, in particular, has received a lot of attention as a methodological issue (Dormann et al. 2007, Beale et al. 2010), although there is considerable controversy whether this attention has led to ecological advances (Bini et al. 2009, Hawkins 2012).”
Potential range of the invasive fish rotan (Perccottus glenii) in the Holarctic (2011, methodology): “Recent comparisons showed that this is among the most flexible and efficient spatial regression methods (Dormann et al. 2007; Bini et al. 2009).”
Accounting for multi‐scale spatial autocorrelation improves performance of invasive species distribution modelling (iSDM) (2012, background): “A perfect positive correlation would indicate that incorporating SAC did not change the relative importance of environmental variables, even when it changed the parameter estimates (Bini et al., 2009).”
Effects of spatial autocorrelation and imperfect detection on species distribution models (2018, background): “…have been debated quite vigorously recently (Beale, Lennon, Elston, Brewer, & Yearsley, 2007; Beale, Lennon, Yearsley, Brewer, & Elston, 2010; Diniz- Filho, Bini, & Hawkins, 2003; Dormann, 2007; Hawkins, 2012; Mauricio Bini et al., 2009; Thibaud, Petitpierre, Broennimann, Davison, & Guisan, 2014).”
Conserving the Brazilian semiarid (Caatinga) biome under climate change (2012, methodology): “Once autocorrelation is observed, it is necessary to apply methods of spatial regression to avoid misinterpretation of partial coefficients (see Bini et al. 2009; Dormann et al. 2007; Hawkins et al. 2011).”
Less than eight (and a half) misconceptions of spatial analysis (2012, background): “Even in his own work (e.g. Bini et al., 2009), Hawkins has seen the effect of spatial vs. non-spatial models.”
Community ecology in the age of multivariate multiscale spatial analysis (2012, unknown): “2007), while regional and historical processes can profoundly influence local community structure (Ricklefs 1987, Borcard and Legendre 1994). An important research goal in ecology is thus to identify the most relevant scales to account for compositional variation and model species–environment intera”