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

 
: Andrienko, Gennady; Andrienko, Natalia; Hurter, Christophe; Rinzivillo, Salvatore; Wrobel, Stefan

Miksch, S. ; IEEE Computer Society, Technical Committee on Visualization and Graphics:
IEEE Conference on Visual Analytics Science and Technology, VAST 2011. Proceedings : 23-28 October 2011, Providence, Rhode Island, USA
New York, NY: IEEE, 2011
ISBN: 978-1-4673-0013-1
ISBN: 978-1-4673-0015-5 (Print)
pp.159-168
Conference on Visual Analytics Science and Technology (VAST) <6, 2011, Providence/RI>
English
Conference Paper
Fraunhofer IAIS ()
movement; trajectory; spatio-temporal data; spatial events; spatial clustering; spatio-temporal clustering

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 realworld problems requiring analysis at different spatial scales.

: http://publica.fraunhofer.de/documents/N-194553.html