User-centric spatial data warehousing: a survey of requirements and approaches

Ganesh Viswanathan and Markus Schneider

International Journal of Data Mining, Modelling and Management, 2014, vol. 6, issue 4, 369-390

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. (search for similar items in EconPapers)
Date: 2014
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=66764 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijdmmm:v:6:y:2014:i:4:p:369-390

Access Statistics for this article

More articles in International Journal of Data Mining, Modelling and Management from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().