Compressed data cubes for OLAP aggregate query approximation on continuous dimensions
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
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
Modeling Multidimensional Databases
ICDE '97 Proceedings of the Thirteenth International Conference on Data Engineering
A Foundation for Multi-dimensional Databases
VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
Modeling Multidimensional Databases, Cubes and Cube Operations
SSDBM '98 Proceedings of the 10th International Conference on Scientific and Statistical Database Management
Maintaining Data Cubes under Dimension Updates
ICDE '99 Proceedings of the 15th International Conference on Data Engineering
GIS: A Computing Perspective, 2nd Edition
GIS: A Computing Perspective, 2nd Edition
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
Towards a model for the multidimensional analysis of field data
ADBIS'10 Proceedings of the 14th east European conference on Advances in databases and information systems
Analyzing continuous fields with OLAP cubes
Proceedings of the ACM 14th international workshop on Data Warehousing and OLAP
Multidimensional structures dedicated to continuous spatiotemporal phenomena
BNCOD'05 Proceedings of the 22nd British National conference on Databases: enterprise, Skills and Innovation
Modeling and Querying Continuous Fields with OLAP Cubes
International Journal of Data Warehousing and Mining
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Nowadays, organizations need to use OLAP (On Line Analytical Processing) tools together with geographical information. To support this, the notion of SOLAP (Spatial OLAP) arouse, aimed at exploring spatial data in the same way as OLAP operates over tables. SOLAP however, only accounts for discrete spatial data. More sophisticated GIS-based decision support systems are increasingly being needed, to handle more complex types of data, like continuous fields. Fields describe physical phenomena that change continuously in time and/or space (e.g., temperature). Although many models have been proposed for adding spatial information to OLAP tools, no one allows the user to perceive data as a cube, and analyze any type of spatial data, continuous or discrete, together with typical alphanumerical discrete OLAP data, using only the classic OLAP operators (e.g., Roll-up, Drill-down). In this paper we propose an algebra that operates over data cubes, independently of the underlying data types and physical data representation. That means, in our approach, the final user only sees the typical OLAP operators at the query level. At lower abstraction levels we provide discrete and continuous spatial data support as well as different ways of partitioning the space. We also describe a proof-of-concept implementation to illustrate the ideas presented in the paper. As far as we are aware of, this is the first proposal that allows analyzing discrete and continuous spatiotemporal data and OLAP cubes together, using just the traditional OLAP operations, thus providing a very general framework for spatiotemporal data analysis.