Spatial data warehouses (SDWs) and spatial OLAP (SOLAP) are well-known business intelligence (BI) technologies that aim to support multidimensional and online analysis of huge volumes of data with spatial reference. Spatial vagueness is one of the most neglected imperfections of spatial data. Although several works propose new ad-hoc models for handling spatial vagueness, their implementation i...

Data Warehouses (DW) and OnLine Analytical Processing (OLAP) tools are used in Business Intelligence (BI) applications in order to support decision-making processes. DWs are a specific type of database used to integrate, accumulate and analyze data from various sources. OLAP tools provide means to query and to analyze the warehoused information and produce online statistical summaries (indicato...

Due to their multiple sources and structures, big spatial data require adapted tools be efficiently collected, summarized analyzed. For this purpose, are archived in warehouses explored by online analytical processing (SOLAP) through dynamic maps, charts tables. Data thus converted cubes characterized a multidimensional structure on which exploration is based. However, often lead several define...

The present study aims to integrate Multi Criteria Analysis Methods (MCAM) to a decision support system based on SOLAP technology, modeled and implemented in other work. The current research evaluates on the one part the benefits of SOLAP in detection and location of epidemics outbreaks and discovers on another part the advantages of multi criteria analysis methods in the assessment of health r...

It is recognized that 80% of data have a spatial component (ex. street address, place name, geographic coordinates, map coordinates). Having the possibilities to display data on maps, to compare maps of different phenomena or epochs, and to combine maps with tables and statistical charts allows one to get more insights into spatial datasets. Furthermore, performing fast spatiotemporal analysis,...

The combination of Geographic Data Warehouses (GDW) and Spatial OLAP (SOLAP) provide efficient browsing and storing of very large spatio-temporal databases. However, some advanced techniques of geovisualization are not well supported in many of these tools. Three-dimensional Thematic Mapping through Virtual Globes is one of them, and it can provide a friendly but powerful mechanism for summariz...