Spatio-temporal data warehouse design for human activity pattern analysis

L. Savary, T. Wan, K. Zeitouni
<span title="">2004</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/mfwemajbqjcy7hji6w3ztzfccu" style="color: black;">Proceedings. 15th International Workshop on Database and Expert Systems Applications, 2004.</a> </i> &nbsp;
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
more &raquo; ... tate 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 1 .
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/dexa.2004.1333576">doi:10.1109/dexa.2004.1333576</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/dexaw/SavaryWZ04.html">dblp:conf/dexaw/SavaryWZ04</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/on4golr46ncrveorsnqohh42eu">fatcat:on4golr46ncrveorsnqohh42eu</a> </span>
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