From movement tracks through events to places : extracting and characterizing significant places from mobility data

Gennady Andrienko 1 Natalia Andrienko 1 Christophe Hurter 2, 3, 4 Salvatore Rinzivillo 5 Stefan Wrobel 1
1 IAIS - Institute for Intelligent Analysis and Information Systems
2 LII - ENAC - Laboratoire d'Informatique Interactive
3 DGAC - Direction Générale de l'Aviation Civile
4 IRIT - Institut de recherche en informatique de Toulouse
5 KDD Lab
Abstract : We propose a visual analytics procedure for analyzing movement data, i.e., recorded tracks of moving objects. It is oriented to a class of problems where it is required to determine significant places on the basis of certain types of events occurring repeatedly in movement data. The procedure consists of four major steps: (1) event extraction from trajectories; (2) event clustering and extraction of relevant places; (3) spatio-temporal aggregation of events or trajectories; (4) analysis of the aggregated data. All steps are scalable with respect to the amount of the data under analysis. We demonstrate the use of the procedure by example of two real-world problems requiring analysis at different spatial scales.
Keywords : movement trajectories spatio-temporal data spatial events spatial clustering spatio-temporal clustering
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Gennady Andrienko, Natalia Andrienko, Christophe Hurter, Salvatore Rinzivillo, Stefan Wrobel. From movement tracks through events to places : extracting and characterizing significant places from mobility data. VAST 2011, IEEE Conference on Visual Analytics Science and Technology, Oct 2011, Providence, United States. pp 161-170, ⟨10.1109/VAST.2011.6102454⟩. ⟨hal-01022470⟩

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