Insights of the Effects of Rainfall Variability and Climate Change on Landslide Risk in the Road Infrastructure of the Colombian Andean Region
Year: 2026
Type: article
Abstract: This repository contains the R and Python code developed in this thesis. It includes scripts for (i) landslide susceptibility modelling with generalized additive models (GAMs) and machine- and deep-learning algorithms; (ii) wavelet analysis; (iii) bibliometric analysis; (iv) computation of extreme rainfall indices; (v) estimation of landslide magnitude probability; and (vi) Bayesian estimation of rainfall thresholds for landslide triggering. Third-party data (e.g., SGC–SIMMA landslide inventory, CMIP6 projections, INVÍAS road network) are not redistributed where their licences do not allow it; instead, the thesis cites their original sources and access conditions.
Author: Vega, Johnny
Institution: Universidad de Medellín
Language: English
Subfield: Management, Monitoring, Policy and Law
Field: Environmental Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7224968630