Spatial autocorrelation in multi-scale land use models

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Simulating urban land use change by incorporating an autologistic regression model into a CLUE-S model (2015, background): “However, the residuals of ordinary logistic models were significant, which suggested that the assumption of independence was violated (Overmars et al., 2003).”
Variability in regional wheat yields as a function of climate, soil and economic variables: Assessing the risk of confounding (2005, background): “As long as the response variable is spatially autocorrelated, aggregation leads to further leveling out of outliers and therefore increases the model fit (De Koning et al., 1998; Overmars et al., 2003).”