The GEORES webgis is a tool to help scientists and end users to visualize results from the GEORES project.

Through an intuitive webgis interface, it allows visualizing interactively synchronized maps (canvas) of the 4 targets hazard maps, all the input predictors layers, the hazard maps obtained through application of the Random Forest supervised classification algorithm, and finally the SHAP values associated with each predictor.

SHAP values explain how much each predictor contributes to a machine learning model's prediction for a specific instance.

Each canvas can be controlled in showing several maps of each category, overlapped and visible through transparency sliders.