RÉSUMÉ. Dans cet article, nous abordons les problèmes liés à l’intégration de données spatiotemporelles au sein d’un entrepôt de données. Dans de nombreux cas, les spécifications des jeux de données géospatiales évoluent et les données sont hétérogènes à la fois des points de vue temporel, spatial et sémantique. Afin d’explorer et d’analyser des jeux de données spatiotemporelles dans une applic...

Résumé. Les Entrepôts de Données Spatiales (EDS) et les systèmes SOLAP représentent une solution efficace pour l'analyse spatiale de phénomènes géographiques. Cependant, la qualité de cette analyse dépend fortement de la qualité des données stockées. Dans ce contexte, quelques travaux se sont intéressés à la définition et la spécification des contraintes d'intégrité spécifiques aux EDS. Dans ce...

BACKGROUND Climate change has a significant impact on population health. Population vulnerabilities depend on several determinants of different types, including biological, psychological, environmental, social and economic ones. Surveillance of climate-related health vulnerabilities must take into account these different factors, their interdependence, as well as their inherent spatial and temp...

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Integrating geographical and multidimensional processing has been proposed in several researches in the database literature. One of the most important issues of this process is data querying. However, most of the current approaches do not take into account the use of a query language to make the simultaneous specification of multidimensional and spatial operators available. In this paper, we pr...

In this paper, we propose a novel multiscale approach to model Virtual Urban Environments thanks to the introduction of a design pattern which links activity places and transportation networks. This environment is also augmented with a synthetic population in order to build the Populated Urban Environment. The meso-simulator TransNetSim has been developed and coupled with the micro-simulator Vi...

Building a good simulation model can be a lot of work. We need to specify and model the system to be simulated, implement the model, collect data on the corresponding real system (if any), verify and validate the simulation system and run the simulation. In order to test different ideas, to learn about the system behavior in new situations and to make efficient decisions, decision makers need w...

In a decision-making context, multidimensional geospatial databases are very important. They often represent data coming from heterogeneous and evolving sources. Evolution of multidimensional structures makes difficult, even impossible answering to temporal queries, because of the lack of relationships between different versions of spatial cubes created at different time. This paper proposes a ...