CoDE Publications CoDE Publications
IRIDIA Publications IRIDIA Publications
SMG Publications
WIT Publications
WIT Publications
SMG Publications
Home People Research Activities Publications Teaching Resources
By Class By Topic By Year
By Class By Topic By Year
login
L. I. Gómez, S. Gómez, and A. Vaisman. Analyzing Continuous Fields with OLAP Cubes. In Proceedings of the 14th International Workshop on Data Warehousing and OLAP, DOLAP 2011, pages 89-94. ACM Press, Glasgow, Scotland, UK, October 2011.

Abstract

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.


Updated: 2017-03-27