The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling
The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling
On relationships offering new drill-across possibilities
Proceedings of the 5th ACM international workshop on Data Warehousing and OLAP
A multidimensional model representing continuous fields in spatial data warehouses
Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Physical design and implementation of spatial data warehouses supporting continuous fields
DaWaK'10 Proceedings of the 12th international conference on Data warehousing and knowledge discovery
DOLAP 2011: overview of the 14th international workshop on data warehousing and olap
Proceedings of the 20th ACM international conference on Information and knowledge management
A generic data model and query language for spatiotemporal OLAP cube analysis
Proceedings of the 15th International Conference on Extending Database Technology
Modeling and Querying Continuous Fields with OLAP Cubes
International Journal of Data Warehousing and Mining
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Although raster data is the most popular discrete representation for continuous fields, other forms of space tessellation can be used, like Voronoi diagrams or Triangulated Irregular Networks (TIN). Besides, algebras for field manipulation have been proposed, but they are representation-dependent and not closed. To address this problems, we propose a (closed) generic map algebra over spatio-temporal continuous fields, independent of the underlying field representation. Based on this algebra, we define a language that allows analyzing continuous fields data and OLAP cubes together, using the traditional OLAP operations, providing a very general framework for spatio-temporal data analysis.