Optimizing queries using materialized views: a practical, scalable solution
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
R-trees: a dynamic index structure for spatial searching
SIGMOD '84 Proceedings of the 1984 ACM SIGMOD international conference on Management of data
Selective Materialization: An Efficient Method for Spatial Data Cube Construction
PAKDD '98 Proceedings of the Second Pacific-Asia Conference on Research and Development in Knowledge Discovery and Data Mining
Representing spatiality in a conceptual multidimensional model
Proceedings of the 12th annual ACM international workshop on Geographic information systems
Towards a spatial multidimensional model
Proceedings of the 8th ACM international workshop on Data warehousing and OLAP
The Data Warehouse Lifecycle Toolkit
The Data Warehouse Lifecycle Toolkit
A set of aggregation functions for spatial measures
Proceedings of the ACM 11th international workshop on Data warehousing and OLAP
Modelling and querying geographical data warehouses
Information Systems
When Spatial Analysis Meets OLAP: Multidimensional Model and Operators
International Journal of Data Warehousing and Mining
Spatial OLAP and Map Generalization: Model and Algebra
International Journal of Data Warehousing and Mining
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Decision support systems (DSS) may be enhanced qualitatively if they are able to also deal with spatial dimensions and measures. Regardless the evident importance of using data warehousing and OLAP in DSS, the incorporation of spatial dimensions and measures enables to locate more efficiently tendencies in a given application domain, by using dynamic maps with zooming, panning, aggregation and other spatial functionalities. Therefore, it is necessary to converge two relatively consolidated technologies: Data Warehousing and Geographical Information Systems. This integration gives raise to a new research area called Spatial Data Warehousing (SDW), which introduces new research challenges. This paper proposes a novel logical multidimensional model suitable for SDW, which is implemented on the top of an object-relational database system with support for spatial data. Moreover, the paper addresses query optimization techniques to enhance performance and it describes a prototype, which has been built to validate the proposed ideas.