. . "5.0" . "140.0" . "10.0" . . . . . "blended, F2F, online" . . . . . . . . . . . . . . . "Introduction to hazard risk resillience course, GIS data management/terrain analysis"@en . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . "3.0" . "2.0" . "The identification and assessment of natural hazards is a crucial component of disaster risk management. This course will focus on the modelling of natural hazards, with an emphasis on hydro-meteorological hazards (e.g., floods, landslides and erosion). Starting from the relevant natural phenomena and their causes, the generation of historical inventories of hazardous phenomena will be discussed. From the cloud-based generation of the hazard inventories and their interpretation, the course will expand on the main methods and tools to assess the susceptibility and hazard at different scales. The course will provide the foundation for predictive approaches with a particular focus given to statistical models of multivariate nature. The latter will combine the spatial and temporal dimensions. The use of empirical models will further investigate runout patterns to estimate areas under threat."@en . "Data driven Hazard modelling"@en . . "Data driven Hazard modelling"@en . "Data driven Hazard modelling"@en . . . . . . . . "Understand the appropriate use, the limitations and the issues one can tackle through statistical modelling for predictive mapping of hazards. Implement this knowledge through scripting data-driven methods for hazard prediction."@en . . . . "MGEO 5.0 BoK"@en . . "data-driven methods"@en .