Comparison of models predicting <i>Varroa</i> intensity, with spatial component. For each variable, we fit an additive model and interaction with time; the model preferred by AIC is presented here. This table includes the results of the additive model for Floral quality, Insecticide, and Nesting quality. The remaining models include the indicated variables and interaction with time. Note that management practices are correlated with location, leading to possible overfitting in models that include the management variable. Statistics presentedeak are: Akaike Information Criterion (AIC), % of Deviance explained (a metric similar to but more appropriate for negative binomial regression), Relative Error (RelErr = Mean(), Mean Absolute Erroreak (MAE = Mean()). The null model uses overall mean <i>Varroa</i> intensity as the predicted value (). The best model for each statistic is bolded. There is no clear winner among the models for all criteria.

<p>Comparison of models predicting <i>Varroa</i> intensity, with spatial component. For each variable, we fit an additive model and interaction with time; the model preferred by AIC is presented here. This table includes the results of the additive model for Floral quality, Insecti...

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