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On Modeling and Analysis of Multidimensional Geographic Databases

On Modeling and Analysis of Multidimensional Geographic Databases

Sandro Bimonte
ISBN13: 9781466620384|ISBN10: 1466620382|EISBN13: 9781466620391
DOI: 10.4018/978-1-4666-2038-4.ch009
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MLA

Bimonte, Sandro. "On Modeling and Analysis of Multidimensional Geographic Databases." Geographic Information Systems: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, IGI Global, 2013, pp. 91-107. https://doi.org/10.4018/978-1-4666-2038-4.ch009

APA

Bimonte, S. (2013). On Modeling and Analysis of Multidimensional Geographic Databases. In I. Management Association (Ed.), Geographic Information Systems: Concepts, Methodologies, Tools, and Applications (pp. 91-107). IGI Global. https://doi.org/10.4018/978-1-4666-2038-4.ch009

Chicago

Bimonte, Sandro. "On Modeling and Analysis of Multidimensional Geographic Databases." In Geographic Information Systems: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, 91-107. Hershey, PA: IGI Global, 2013. https://doi.org/10.4018/978-1-4666-2038-4.ch009

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Abstract

Data warehouse and OLAP systems are tools to support decision-making. Geographic information systems (GISs) allow memorizing, analyzing and visualizing geographic data. In order to exploit the complex nature of geographic data, a new kind of decision support system has been developed: spatial OLAP (SOLAP). Spatial OLAP redefines main OLAP concepts: dimension, measure and multidimensional operators. SOLAP systems integrate OLAP and GIS functionalities into a unique interactive and flexible framework. Several research tools have been proposed to explore and the analyze spatio-multidimensional databases. This chapter presents a panorama of SOLAP models and an analytical review of research SOLAP tools. Moreover, the authors describe their Web-based system: GeWOlap. GeWOlap is an OLAP-GIS integrated solution implementing drill and cut spatio-multidimensional operators, and it supports some new spatio-multidimensional operators which change dynamically the structure of the spatial hypercube thanks to spatial analysis operators.

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