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A general framework for trajectory data warehousing and visual OLAP / Luca Leonardi in Geoinformatica, vol 18 n° 2 (April 2014)  

Public [article]  inGeoinformatica > vol 18 n° 2 (April 2014) . - pp 273 - 312 Titre : A general framework for trajectory data warehousing and visual OLAP Type de document : Article/Communication Auteurs : Luca Leonardi, Auteur ; Salvatore Orlando, Auteur ; Alessandra Raffaetà, Auteur ; Alessandro Roncato, Auteur ; et al., Auteur Année de publication : 2014 Article en page(s) : pp 273 - 312 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] analyse de données [Termes IGN] base de données d'objets mobiles [Termes IGN] entrepôt de données [Termes IGN] itinéraire [Termes IGN] modèle conceptuel de données spatio-temporelles [Termes IGN] objet mobile [Termes IGN] outil d'aide à la décision [Termes IGN] programmation par contraintes [Termes IGN] SOLAP Résumé : (Auteur) In this paper, we present a formal framework for modelling a trajectory data warehouse (TDW), namely a data warehouse aimed at storing aggregate information on trajectories of moving objects, which also offers visual OLAP operations for data analysis. The data warehouse model includes both temporal and spatial dimensions, and it is flexible and general enough to deal with objects that are either completely free or constrained in their movements (e.g., they move along a road network). In particular, the spatial dimension and the associated concept hierarchy reflect the structure of the environment in which the objects travel. Moreover, we cope with some issues related to the efficient computation of aggregate measures, as needed for implementing roll-up operations. The TDW and its visual interface allow one to investigate the behaviour of objects inside a given area as well as the movements of objects between areas in the same neighbourhood. A user can easily navigate the aggregate measures obtained from OLAP queries at different granularities, and get overall views in time and in space of the measures, as well as a focused view on specific measures, spatial areas, or temporal intervals. We discuss two application scenarios of our TDW, namely road traffic and vessel movement analysis, for which we built prototype systems. They mainly differ in the kind of information available for the moving objects under observation and their movement constraints. Numéro de notice : A2014-227 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1007/s10707-013-0181-3 Date de publication en ligne : 11/05/2013 En ligne : https://doi.org/10.1007/s10707-013-0181-3 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=33130 [article]

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