3rd PhD Colloquium of the DGK Section on Geoinformatics and the DGPF Working Group on Geoinformatics

Würzburg, March 7, 2017
FHWS, Campus Röntgenring, Hörsaal B.1.06

The Section on Geoinformatics (Sektion Geoinformatik) of the German Geodetic Commission (Deutsche Geodätische Kommission, DGK) and the Working Group on Geoinformatics (Arbeitskreis Geoinformatik) of the German Society for Photogrammetry, Remote Sensing and Geoinformation (Deutsche Gesellschaft für Photogrammetrie, Fernerkundung und Geoinformation, DGPF) will hold their third joint PhD colloquium on March 7, 2017, in Würzburg. The colloquium aims to stimulate scientific exchange between young researchers in the interdisciplinary field of geoinformatics.

Six PhD students have been invited to present their work, based on abstracts that were submitted.

Furthermore, we gladly announce the talk of our invited speaker, Prof. Dr. Sabine Storandt, on Hierarchical Trajectory and Network Visualization for Cars and Public Transport.

We warmly invite the community to participate in the colloquium and to join us in the discussion with the presenters. Please send an e-mail with your name and affiliation to Jan-Henrik Haunert if you wish to participate. Participitation is free of charge.

The organizers: Jan-Henrik Haunert & Bernhard Höfle


11:45-12:00 Welcome
12:00-13:30 Session 1
Lavina Runceanu University of Stuttgart Geometric and semantic indoor environment interpretation
Yahya Ghassoun TU Braunschweig Enhanced Land Use Regression models for ultra-fine particle concentrations using 2D, 3D and pseudo dynamic parameters
13:30-14:30 Lunch
14:30-16:00 Session 2
Thomas Gründemann TU Dresden Using Graphs for the Analysis and Visualization of Communities from Location-Based Social Media Content
Johannes Kröger HafenCity University Hamburg Significant locations in ancillary data as seeds for typical use cases of cartographic point clustering
16:00-16:15 Coffee
16:15-17:00 Invited Talk
Sabine Storandt Univesity of Würzburg Hierarchical Trajectory and Network Visualization for Cars and Public Transport
17:00-18:30 Session 3
Jean Damascène Mazimpaka University of Augsburg Analysing movement data in a dynamic geographic context
Felix Kunde Beuth University of Applied Sciences Predicting spatio-temporal traffic patterns with deep learning
19:00 Dinner