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Fig. 6 | International Journal of Health Geographics

Fig. 6

From: Different environmental factors predict the occurrence of tick-borne encephalitis virus (TBEV) and reveal new potential risk areas across Europe via geospatial models

Fig. 6

Individual explanatory variable contributions and ranking in maximum entropy (Maxent) and extreme gradient boosting (XGBoost) models in Central Europe, Nordics, and Baltics regions. Variables included in each model are individually ranked according to their respective contributions to predict habitat suitability (permutation importance) or probability of tick-borne encephalitis virus (TBEV) occurrence (feature score) (A). The individual contributions of the top ten ranked variables for each region are illustrated in Maxent (B) and XGBoost (C) models. Further details on the variable contributions for each region and model are provided in Supplemental Materials

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