Aug. 30, 2004 to Sept. 3, 2004
L. Savary , Versailles University, France
T. Wan , Versailles University, France
K. Zeitouni , Versailles University, France
Many applications refer to moving objects or phenomena and require spatio-temporal modelling and specific analysis. Unlike conventional data where attributes are simple values (numerical or textual), object motion defines a continue variation in space and time. This makes it difficult to handle such datasets, for instance, answering the query "how many objects cross a given area during a given time period?" This article addresses spatio-temporal data warehouse schema modelling in order to facilitate those queries and more generally, on-line analytical processing (OLAP) on spatio-temporal databases. It is illustrated on a space-time human activity survey database within the framework of a European IST project.
L. Savary, T. Wan, K. Zeitouni, "Spatio-Temporal Data Warehouse Design for Human Activity Pattern Analysis", DEXA, 2004, 2012 23rd International Workshop on Database and Expert Systems Applications, 2012 23rd International Workshop on Database and Expert Systems Applications 2004, pp. 814-818, doi:10.1109/DEXA.2004.1333576