Professur für Geoinformatik
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.
We warmly welcome our newest team member, Irada Ismayilova, today. Irada is an agricultural engineer (master) and currently finishing her second masters in geoinformatics from the University of Tartu. She will join Maja and Eva in the office. Please make her welcome at the Institute.