Authors: Ganesh Viswanathan; Markus Schneider
Addresses: Department of Computer and Information Science and Engineering, University of Florida, Gainesville, FL 32611, USA ' Department of Computer and Information Science and Engineering, University of Florida, Gainesville, FL 32611, USA
Abstract: The increased availability of spatial data in recent years has lead to new challenges in the analysis of large multidimensional datasets. One solution is to integrate GIS with OLAP and relational databases. Another strategy has been to leverage existing spatial capabilities of databases to perform spatial OLAP. In this article, we review existing modelling strategies for spatial data warehousing at all three levels: conceptual, logical and implementation. We gather the most essential requirements for handling spatial data and use insights from spatial databases and GIS systems to design a meta-framework that would enable a user-centric modelling of complex data. Our strategy is to keep the user as the focal point in the analysis process and lay the foundation for clear data abstraction at different levels using multidimensional abstract data types and operations and thus support complex spatial data in data warehouses.
Keywords: user-centric data warehousing; spatial OLAP; metamodelling; spatial data warehousing; modelling; spatial databases; GIS systems; geographic information systems; user-centric modelling; complex data; data abstraction; multidimensional abstract data types.
International Journal of Data Mining, Modelling and Management, 2014 Vol.6 No.4, pp.369 - 390
Received: 08 May 2021
Accepted: 12 May 2021
Published online: 03 Jan 2015 *