Spatial residual analysis of six modeling techniques

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Comparison of bandwidth selection in application of geographically weighted regression : a case study (2008, methodology): “The model fitting and performance based on the CV or AIC selection process should be compared with the GWR models with predetermined bandwidths that are based on biological theory or characteristics of the data (e.g., Zhang and Shi 2004; Zhang et al. 2005).”
Non‐stationarity and local approaches to modelling the distributions of wildlife (2007, methodology): “Little attention has been paid to the spatial patterns in model errors (Zhang et al ., 2005), and analysis of residuals provided a powerful way to interpret our models.”
Links, comparisons and extensions of the geographically weighted regression model when used as a spatial predictor (2011, background): “Zhang et al. 2005; Gao et al. 2006; Bitter et al. 2007; Kupfer and Farris 2007) or (ii) kriging (Pa ´ez et al. 2008).”