Spatial and Spatio-Temporal Multidimensional Data Modelling: A Survey

Provided by: International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE)
Topic: Big Data
Format: PDF
Data warehouse store and provide access to large volume of historical data supporting the strategic decisions of organizations. Data warehouse is based on a multidimensional model which allow to express user's needs for supporting the decision making process. Since it is estimated that 80% of data used for decision making has a spatial or location component, spatial data have been widely integrated in Data Warehouses and in OLAP systems. Extending a multidimensional data model by the inclusion of spatial data provides a concise and organized spatial data warehouse representation. This paper aims to provide a comprehensive review of literature on developed and suggested spatial and spatio-temporel multidimensional models.

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