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
Equivalence of Relational Algebra and Relational Calculus Query Languages Having Aggregate Functions
Journal of the ACM (JACM)
Phenomena: a visual query language for continuous fields
GIS '03 Proceedings of the 11th ACM international symposium on Advances in geographic information systems
GIS: A Computing Perspective, 2nd Edition
GIS: A Computing Perspective, 2nd Edition
A Spatial SQL Extension for Continuous Field Querying
COMPSAC '04 Proceedings of the 28th Annual International Computer Software and Applications Conference - Workshops and Fast Abstracts - Volume 02
Advanced Data Warehouse Design: From Conventional to Spatial and Temporal Applications (Data-Centric Systems and Applications)
A multidimensional model representing continuous fields in spatial data warehouses
Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Multidimensional structures dedicated to continuous spatiotemporal phenomena
BNCOD'05 Proceedings of the 22nd British National conference on Databases: enterprise, Skills and Innovation
Efficient processing of drill-across queries over geographic data warehouses
DaWaK'11 Proceedings of the 13th 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
Entity-relationship and object-oriented formalisms for modeling spatial environmental data
Environmental Modelling & Software
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
Hi-index | 0.00 |
Although many proposals exist for extending Geographic Information Systems (GIS) with OLAP and data warehousing capabilities (a topic denoted SOLAP), only recently the importance of supporting continuous fields (i.e., phenomena that are perceived as having a value at each point in space and/or time) has been acknowledged. Examples of such phenomena include temperature, altitude, or land use. In this paper we discuss physical design issues arising when a spatial data warehouse includes a combination of spatial and non-spatial dimensions and measures, and spatio-temporal dimensions representing continuous fields. We give the syntax and semantics of the data types (and their operators) needed to support fields in SOLAP environments, and present an implementation of these types, on top of spatial-SQL. We also show how queries using the spatio-temporal operators for fields are written, parsed, and executed.