<figure><img src="image_13.png" /><figcaption>Figure S7: Training data (top left box), out-of-sample predictions computed either as a local infection proportion or as a kernel smoothing with a 25km-bandwidth (top right box), and in-sample predictions (i.e. posterior means provided by the best model and the BMA, ensemble, climatology and kernel smoothing with a bandwidth of 25 km; bottom box) obtained from training data. Map of standard deviations are also provided in the bottom box for the best model and BMA. The color palette (bottom right) applies to all plots. The range of values taken in each map is provided below the map.</figcaption></figure>
<figure><img src="image_13.png" /><figcaption>Figure S7: Training data (top left box), out-of-sample predictions computed either as a local infection proportion or as a kernel smoothing with a 25km-bandwidth (top right box), and in-sample predictions (i.e. posterior means provided by the best model and the BMA, ensemble, climatology and kernel smoothing with a bandwidth of 25 km; bottom box) obtained from training data. Map of standard deviations are also provided in the bottom box for the best model and BMA. The color palette (bottom right) applies to all plots. The range of values taken in each map is provided below the map.</figcaption></figure>