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2009
ACM

A multidimensional model representing continuous fields in spatial data warehouses

10 years 7 months ago
A multidimensional model representing continuous fields in spatial data warehouses
Data warehouses and On-Line Analytical Processing (OLAP) provide an analysis framework supporting the decision making process. In many application domains, complex analysis tasks often require to take geographical information into account. Several proposals exist for integrating OLAP and Geographic Information Systems (GIS). However, there are very few attempts to support continuous fields, i.e., phenomena that are perceived as having a value at each point in space and/or time. Examples of such phenomena include temperature, altitude, or land use. In this paper, we extend a conceptual multidimensional model with continuous fields, showing that this can be achieved by defining an appropriate data type that encapsulates the different operations needed for manipulating such fields. We also define a query language based on relational calculus that allows expressing spatial OLAP queries involving continuous fields, and use this language to formally characterize this class of queries...
Alejandro A. Vaisman, Esteban Zimányi
Added 25 Jul 2010
Updated 25 Jul 2010
Type Conference
Year 2009
Where GIS
Authors Alejandro A. Vaisman, Esteban Zimányi
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