Professor for Geoinformatics
The goal of the Geoinformatics Lab is to develop innovative computational methods for modeling, analysing and simulating human geo-spatial behavior. The focus is on
- processes using spatial cognition such as geographic space appropriation, perception and wayfinding
- dynamic complex systems such as multi-modal transportation networks
Such human-environment interactions may best be understood using a bottom-up perspective, ie. through implementing generative models while at the same time corroborating the usefulness of the models by analysing using a top-down perspective. We are currently exploring several methodologies, i.e., we work with agent-based modelling, geosimulation, classical spatio-temporal analysis, GIS models and extensions as well as GeoAI-methods.
The symposium „On the Modelling of Landmarks“ at the International Conference on Spatial Cognition in Rome proposed by Dr. Nuhn has been accepted. Four presentations will provide the backbone of the symposium. Additional papers / presentations will be added to the symposium after a rigorous reviewing process. We look forward to going a step further with the challenge of modelling landmarks.[Geoinformatics]
Irada Ismayilova, Sabine Timpf and Christian Röger together with colleagues from the University of Tartu published and presented a full paper @ GI_Forum 2020.
The paper presents a case study from Estonia, that focuses on the prediction of alvar grassland vegetation occurence. Using a Machine Learning method, paper is exploring an alternative, data driven, approach for the alvar grasslands’ restoration.
Full paper is now available here.