From movement tracks through events to places: extracting and characterizing significant places from mobility data
Andrienko G., Andrienko N., Hurter C., Rinzivillo S., Wroebel S.
movement trajectories spatio-temporal data spatial events spatial clustering
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.
Source: IEEE Conference on Visual Analytics Science and Technology, VAST 2011, pp. 161–170, Providence, Rhode Island, October 23 -28 2011
Publisher: IEEE Computer Society, Los Alamitos [CA], USA
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@inproceedings{oai:it.cnr:prodotti:206486,
title = {From movement tracks through events to places: extracting and characterizing significant places from mobility data},
author = {Andrienko G. and Andrienko N. and Hurter C. and Rinzivillo S. and Wroebel S.},
publisher = {IEEE Computer Society, Los Alamitos [CA], USA},
booktitle = {IEEE Conference on Visual Analytics Science and Technology, VAST 2011, pp. 161–170, Providence, Rhode Island, October 23 -28 2011},
year = {2011}
}
0000-0003-4404-4147