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A Multidimensional Model for Correct Aggregation of Geographic Measures

A Multidimensional Model for Correct Aggregation of Geographic Measures

Sandro Bimonte, Marlène Villanova-Oliver, Jerome Gensel
Copyright: © 2010 |Pages: 22
ISBN13: 9781605668161|ISBN10: 1605668168|ISBN13 Softcover: 9781616924485|EISBN13: 9781605668178
DOI: 10.4018/978-1-60566-816-1.ch008
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MLA

Bimonte, Sandro, et al. "A Multidimensional Model for Correct Aggregation of Geographic Measures." Evolving Application Domains of Data Warehousing and Mining: Trends and Solutions, edited by Pedro Nuno San-Banto Furtado, IGI Global, 2010, pp. 162-183. https://doi.org/10.4018/978-1-60566-816-1.ch008

APA

Bimonte, S., Villanova-Oliver, M., & Gensel, J. (2010). A Multidimensional Model for Correct Aggregation of Geographic Measures. In P. Furtado (Ed.), Evolving Application Domains of Data Warehousing and Mining: Trends and Solutions (pp. 162-183). IGI Global. https://doi.org/10.4018/978-1-60566-816-1.ch008

Chicago

Bimonte, Sandro, Marlène Villanova-Oliver, and Jerome Gensel. "A Multidimensional Model for Correct Aggregation of Geographic Measures." In Evolving Application Domains of Data Warehousing and Mining: Trends and Solutions, edited by Pedro Nuno San-Banto Furtado, 162-183. Hershey, PA: IGI Global, 2010. https://doi.org/10.4018/978-1-60566-816-1.ch008

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Abstract

Spatial OLAP refers to the integration of spatial data in multidimensional applications at physical, logical and conceptual levels. The multidimensional aggregation of geographic objects (geographic measures) exhibits theoretical and implementation problems. In this chapter, the authors present a panorama of aggregation issues in multidimensional, geostatistic, GIS and Spatial OLAP models. Then, they illustrate how overlapping geometries and dependency of spatial and alphanumeric aggregation are necessary for correctly aggregating geographic measures. Consequently, they present an extension of the logical multidimensional model GeoCube (Bimonte et al., 2006) to deal with these issues.

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