Representations and Data Models is focused on research into the conceptual modelling of space, spatial features and phenomena, and provides a spatial view of various categories of physical and abstract information objects in order to reveal the potential power of the 'spatial perspective'.
Time and Process research will leverage the increasing availability of real-time sensor data, the importance of process-oriented modelling, and will address the need for temporal modelling beyond simple discrete time slices.
Spatialization, Contextualisation and Society considers user perspectives and utilizes geospatial communication as a hypotheses generator for geospatial research: cognitive processes lead to mental maps which are highly relevant for actions, which in turn modify physical and societal spaces.
- Integrating Object Based Image Analysis and GIS for multi-scale information handling (T. Blaschke)
- Geonalytics: domain- and scale specific regionalization (S. Lang)
- 3D structure tectonics of mountain belts: linking deep-crustal processes with sedimentary basin evolution and 3D structures of fault zones (F. Neubauer)
- Extending GIS Capabilities of Database Systems (N. Augsten)
- System Dynamics GIS (J. Strobl)
- Land surface processes and Remote Sensing (A. Bartsch)
- Geospatial Technology and GIScience in Spatial Crime Analysis and Mapping (M. Leitner)
- Collective Sensing and geo-spatial Big Data (E. Beinat)
Within these broader research topics, individual doctoral theses are allocated.
List of thesis topics 2015 - 2019