Research project on the “Potentials of animal-environment interactions for remote sensing research”, supervised by Prof. Dr. Stefan Dech (Earth Observation Center at the German Aerospace Center, DLR) and Prof. Dr. Martin Wikelski (Max Planck Institute for Animal Behavior)
Thesis: Schwalb-Willmann, J. (2018). A deep learning movement prediction framework for identifying anomalies in animal-environment interactions. Master’s, Julius Maximilians University Würzburg/German Aerospace Center (DLR).
Thesis: Schwalb-Willmann, J. (2016). Comparison of different algorithms for calculating broadband albedo from AVHRR data. Bachelor’s, Ludwig Maximilians University Munich/German Aerospace Center (DLR).
R package providing tools to visualize movement data (e.g. from GPS tracking) and temporal changes of environmental data (e.g. from remote sensing) by creating video animations. A peer-reviewed open-access paper accompanying
moveVis has been published in Methods in Ecology and Evolution.
R package enabling homogeneous and reproducible workflows to query, preview, analyze, select, order and download various kinds of spatial datasets from open sources.
R package to download and cache spatial basemaps from open sources such as OpenStreetMap, Carto and Mapbox.