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.
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.