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
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
Phenomena: a visual query language for continuous fields
GIS '03 Proceedings of the 11th ACM international symposium on Advances in geographic information systems
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
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
A generic data model and query language for spatiotemporal OLAP cube analysis
Proceedings of the 15th International Conference on Extending Database Technology
Enhancing coverage and expressive power of spatial data warehousing modeling: the SDWM approach
DaWaK'12 Proceedings of the 14th international conference on Data Warehousing and Knowledge Discovery
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The notion of SOLAP Spatial On-Line Analytical Processing is aimed at exploring spatial data in the same way as OLAP operates over tables. SOLAP, however, only accounts for discrete spatial data. Current decision support systems are increasingly being needed for handling more complex types of data, like continuous fields, which describe physical phenomena that change continuously in time and/or space e.g., temperature. Although many models have been proposed for adding spatial continuous and discrete information to OLAP tools, no one is general enough to allow users to just perceive data as a cube, and analyze any type of spatial data together with typical alphanumerical discrete OLAP data, using only the classic OLAP operators e.g., Roll-up, Drill-down. In this paper the authors propose a model and an algebra supporting it, that allow operating over data cubes, independently of the underlying data types and physical data representation. That means, in this approach, the final user only sees the typical OLAP operators at the query level, whereas at lower abstraction levels the authors provide discrete and continuous spatial data support as well as different ways of partitioning the space. As far as the authors are aware of, this is the first proposal, which provides such a general framework for spatiotemporal data analysis.