Spatial Decision Support Systems (SDSSs) have been successfully used to help decision-makers in several application domains. When it comes to enabling the collaboration of all these decision-makers with one common SDSS, a Spatial Data Warehouse (SDW) is commonly considered as an efficient option, particularly when large volumes of data are available. This SDW has to accommodate all the decision-makers, anywhere and anytime, with the right geo-referenced data at the right time while respecting the characteristics of their displaying devices. Since this aim is still unachievable due to the complexity of spatial processing, we propose to shorten the processing time by leveraging the use of multiple representations of spatial objects in SDWs. For the sake of illustration and unlike any existing solution, we focus in this paper on the integration of multiple geometric representations in SDW and we propose new definitions to reflect the impact of this integration. We also highlight the importance of this integration via the implementation of a collaborative scenario related to the management of industrial accidents in Algeria.

Spatial Decision Support Systems (SDSSs) have been successfully used to help decision-makers in several application domains. When it comes to enabling the collaboration of all these decision-makers with one common SDSS, a Spatial Data Warehouse (SDW) is commonly considered as an efficient option, ...