Browser
Data API
Ontology
http://ld-r.org/users
d8901424-03c8-4f36-b9ea-979f9f2aa87a
hasLearningOutcome
http://gch.utwente.nl/data/competence/226cdd39-655f-4b74-af4b-3121039f7329
General information
Learning outcomes
Structure
Topics
Learning outcomes
Classify, explain and analyse the factors underlying the hazards and evaluate their relative importance.
Critically asses susceptibility maps and the approaches to convert them into hazard maps.
In the context of landslide hazard, formulate the data requirements for the statistical modelling approaches (including aspects of scale and data quality).
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.
Add Property/Value
UNIVERSITY OF TWENTE
Faculty of Geo-Information Science and Earth Observation
GeoCourseHub at Utwente.nl