PUMA
Istituto di Scienza e Tecnologie dell'Informazione     
Andrienko G., Andrienko N., Hurter C., Rinzivillo S., Wroebel S. From movement tracks through events to places: extracting and characterizing significant places from mobility data. In: VAST 2011 - IEEE Conference on Visual Analytics Science and Technology (Providence, Rhode Island, October 23 -28 2011). Proceedings, vol. 11 pp. 161 - 170. IEEE, 2011.
 
 
Abstract
(English)
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.
Subject movement
trajectories
spatio-temporal data
spatial events
spatial clustering
spatio-temporal clustering
H.2.8 Database Applications. Data mining
68T20 Problem solving (heuristics, search strategies, etc.)


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