Object-Based Selective Materialization for Efficient Implementation of Spatial Data Cubes
IEEE Transactions on Knowledge and Data Engineering
On Data Warehouse and GIS Integration
DEXA '00 Proceedings of the 11th International Conference on Database and Expert Systems Applications
Finding Your Way through Multidimensional Data Models
DEXA '98 Proceedings of the 9th International Workshop on Database and Expert Systems Applications
Cooperation with geographic databases
Multidimensional databases
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
A set of aggregation functions for spatial measures
Proceedings of the ACM 11th international workshop on Data warehousing and OLAP
Designing Data Warehouses for Geographic OLAP Querying by Using MDA
ICCSA '09 Proceedings of the International Conference on Computational Science and Its Applications: Part I
Using web-based personalization on spatial data warehouses
Proceedings of the 2010 EDBT/ICDT Workshops
On the requirements for user-centric spatial data warehousing and SOLAP
DASFAA'11 Proceedings of the 16th international conference on Database systems for advanced applications
GeWOlap: a web based spatial OLAP proposal
OTM'06 Proceedings of the 2006 international conference on On the Move to Meaningful Internet Systems: AWeSOMe, CAMS, COMINF, IS, KSinBIT, MIOS-CIAO, MONET - Volume Part II
A personalization process for spatial data warehouse development
Decision Support Systems
When Spatial Analysis Meets OLAP: Multidimensional Model and Operators
International Journal of Data Warehousing and Mining
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Data warehouses and OLAP systems help to interactively analyze huge volume of data. Frequently this data contains spatial information which is useful for decision-making process. Spatial OLAP (SOLAP) refers to the integration of spatial data in multidimensional applications at physical, logical and conceptual level. Using spatial measure as a geographical object, i.e. taking in account its geometric and descriptive attributes, raises problems regarding the aggregation operation and the cube navigation in their semantic and implementation aspects. This paper defines an extended multidimensional data model which is able to support complex objects as measures, in order to handle geographical data according with its particular nature in an OLAP context. The model allows the multidimensional navigation process. OLAP operators are described which include this new concept of measure. A prototype of a SOLAP tool that handles geographical object as measures is presented.