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. 2012 Sep 26;109(45):18344–18349. doi: 10.1073/pnas.1205130109

Fig. 2.

Fig. 2.

Change in predictive power vs. statistical significance for the model in Table 1, column f. The positions of the predictors on the graph clearly indicate the modest contribution of the climate predictors to the model. Geographic variables (cell populations, space–time clustering effect, capital city locations, distance to international borders, grassland ratio, and distance to road) are more important in predictive power than the climate or political measures.