Environmental SmartCities: statistical mapping of environmental risk for natural and anthropic disasters in Chile

The main aim of the work is to build statistical environmental risk maps for natural disasters in Chile, using spatio-temporal models in order to improve the assessment, prevention and mitigation of impacts. To this end, we analyze the spatial and temporal variability of the observed points, we study the dependence from the exogenous variables, and we create risk maps. Finally, we display the results in web platforms for mobile devices. Several environmental phenomena are considered such as earthquakes, wildfires, and air pollution. In all cases the methodology is based on the assumption that data can be modeled as a spatio-temporal process, although specific models are proposed for each category.