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.

News

July 14, 2026

Presentation at AGIT

Eva Nuhn presented our work with the topic Mapping Indoor Sounds as Potential Landmarks for Auditory Wayfinding at the AGIT conference in Salzburg. The work was presented in the session: Digital Twins – Urban Planning & Public Administration. The paper is available here

[Geoinformatics]
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June 20, 2026

Presentation at AGILE

Chenyu Zuo presented our work with the topic Assessing Perceived Walkability: a case study using eye-tracking and think-aloud with street images at the AGILE conference in Tartu, Estonia. This study explored how people perceive walkability by combining eye-tracking data with think-aloud protocols while participants evaluate street-view images. The paper is available here

[Geoinformatics]
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Chenyu at AGILE 2026
May 6, 2026 | Girls' day

Girls' day

As part of Girls’ Day, participants learned what walkability means and what factors influence the pedestrian-friendliness of street spaces. They conducted their own experiments both on computers and outdoors , gaining hands-on experience with various data collection methods. [Geoinformatics]
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Discoveries aren't made by one person exploring by themselves. And discoveries aren't made overnight. People don't see the thousands of hours that go into it.
Sarah Parcak

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Professor for Geoinformatics
Geoinformatics

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Research and teaching associate
Geoinformatics

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Research and teaching associate
Geoinformatics

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