The R*-tree: an efficient and robust access method for points and rectangles
SIGMOD '90 Proceedings of the 1990 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
Efficient OLAP Operations in Spatial Data Warehouses
SSTD '01 Proceedings of the 7th International Symposium on Advances in Spatial and Temporal Databases
Spatial hierarchy and OLAP-favored search in spatial data warehouse
DOLAP '03 Proceedings of the 6th ACM international workshop on Data warehousing and OLAP
Range Aggregate Processing in Spatial Databases
IEEE Transactions on Knowledge and Data Engineering
Distribution-based methods of preserving data privacy in Distributed Spatial Data Warehouse
International Journal of Business Intelligence and Data Mining
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In this paper we present a system of spatial data warehouse designed for aggregating and analyzing a wide range of spatial information. The data is generated by media meters working in a telemetric system. The data warehouse is based on a new model called the cascaded star model. The cascaded star is the spatial development of a standard star schema. We decided to use an indexing structure called aggregation tree. The aggregation tree materialization and integrated mechanism of available memory estimation highly improve the efficiency of the system. The theoretical aspects are confirmed by the presented tests results.