Paulus, Robert
[UCL]
Hafner, Christian
[UCL]
Dujardin, Sébastien
[UNamur]
This thesis explores spatio-temporal modeling techniques to analyze social media user metrics, using Meta's data as a proxy for population distribution in the Philippines. The study examines various approaches, including econometric models, kriging, and Bayesian modeling for Gaussian processes, to address spatial and temporal auto-correlations in the data. Kernel-based methods are utilized both in spatio-temporal modeling, particularly through Gaussian processes, and in the development of a dynamic Crisis Sensitivity Index (CSI) during typhoon events. Overall, the thesis demonstrates the effectiveness of these advanced techniques in handling complex spatio-temporal datasets for population analysis and crisis impact assessment.


Bibliographic reference |
Paulus, Robert. Spatio-Temporal Modeling and Crisis Sensibility Analysis Using Social Media Data. Faculté des sciences, Université catholique de Louvain, 2024. Prom. : Hafner, Christian ; Dujardin, Sébastien. |
Permanent URL |
http://hdl.handle.net/2078.1/thesis:48828 |