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The course aims at introducing attendees to models that are able to spatially predict "where" and "how many" landslide may trigger in the future. No complex equations will be shown. We will focus instead on practically generate such models in a step-by-step tutorial. A dataset as well as the required R-code will be shared during the course to allow everyone to test the method in his/her laptop. No prior knowledge of R is required, just install it before joining the class. The course will essentially cover most of the analyses shown in https://arxiv.org/pdf/1807.08513.pdf.

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Co-organized as NH10.3
Convener: Luigi Lombardo | Co-conveners: Valeria Cigala, Jonathan Rizzi, Giulia Roder
Thu, 11 Apr, 10:45–12:30
 
Room -2.62
The course aims at introducing attendees to models that are able to spatially predict "where" and "how many" landslide may trigger in the future. No complex equations will be shown. We will focus instead on practically generate such models in a step-by-step tutorial. A dataset as well as the required R-code will be shared during the course to allow everyone to test the method in his/her laptop. No prior knowledge of R is required, just install it before joining the class. The course will essentially cover most of the analyses shown in https://arxiv.org/pdf/1807.08513.pdf.