Accéder directement au contenu Accéder directement à la navigation
Article dans une revue

Scalable analysis of movement data for extracting and exploring significant places

Abstract : Place-oriented analysis of movement data, i.e., recorded tracks of moving objects, includes finding places of interest in which certain types of movement events occur repeatedly and investigating the temporal distribution of event occurrences in these places and, possibly, other characteristics of the places and links between them. For this class of problems, we propose a visual analytics procedure consisting of four major steps: (1) event extraction from trajectories; (2) extraction of relevant places based on event clustering; (3) spatio-temporal aggregation of events or trajectories; (4) analysis of the aggregated data. All steps can be fulfilled in a scalable way with respect to the amount of the data under analysis; therefore, the procedure is not limited by the size of the computer's RAM and can be applied to very large datasets. We demonstrate the use of the procedure by example of two real-world problems requiring analysis at different spatial scales.
Type de document :
Article dans une revue
Liste complète des métadonnées

Littérature citée [36 références]  Voir  Masquer  Télécharger
Contributeur : Laurence Porte Connectez-vous pour contacter le contributeur
Soumis le : lundi 21 juillet 2014 - 11:22:07
Dernière modification le : mardi 19 octobre 2021 - 12:49:45
Archivage à long terme le : : jeudi 20 novembre 2014 - 16:57:55


Fichiers produits par l'(les) auteur(s)





Gennady Andrienko, Natalia Andrienko, Christophe Hurter, Salvatore Rinzivillo, Stefan Wrobel. Scalable analysis of movement data for extracting and exploring significant places. IEEE Transactions on Visualization and Computer Graphics, Institute of Electrical and Electronics Engineers, 2013, 19 (7), pp 1078-1094. ⟨10.1109/TVCG.2012.311⟩. ⟨hal-01021632⟩



Consultations de la notice


Téléchargements de fichiers