Jakob Schwalb-Willmann just started his M.Sc. thesis titled “A deep learning movement prediction model using environmental data to identify movement anomalies”. He will combine animal movement and remote sensing data in order to develop a generic, data-driven DL-based model that predicts movements from movement history alongside environmental covariates in order to detect movement anomalies. He will establish simulated, controlled environments that allow precise adjustments of the model inputs to test the model’s feedbacks and its variability. It can be considered as a precursor study for the model’s deployment on real data and to only experimentally apply it on such due to the given constraints (time and content) of his M.Sc. thesis.
Presentation at the Kolloquium of the Technical University of Graz
Dr. Ariane Droin presented the works of her PhD-Thesis at the Geo-Kolloquium of the Technical University of Graz with the title "Hochauflösende, skalenübergreifende Modellierung von Nachbarschaftserreichbarkeiten im urbanen Raum" on the 17th of June 2026. She showed...
