In a recent study, the robustness of linear models with various spatial autocorrelation specifications was assessed through Monte Carlo experiments, and the geostatistical models were concluded to dominate the weight matrix models in the prediction. The present study tests the soundness of this conclusion with a different framework for prediction and presents some experimental results that can call into doubt the dominance of the geostatistical models over the weight matrix models.