Abstract
Data warehouses and OLAP systems help to interactively analyze huge volume of data. Frequently this data contains spatial information which is useful for decision-making process. Spatial OLAP (SOLAP) refers to the integration of spatial data in multidimensional applications at physical, logical and conceptual level. Using spatial measure as a geographical object, i.e. taking in account its geometric and descriptive attributes, raises problems regarding the aggregation operation and the cube navigation in their semantic and implementation aspects. This paper defines an extended multidimensional data model which is able to support complex objects as measures, in order to handle geographical data according with its particular nature in an OLAP context. The model allows the multidimensional navigation process. OLAP operators are described which include this new concept of measure. A prototype of a SOLAP tool that handles geographical object as measures is presented.
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References
Bédard, Y., Merrett, T., Han, J.: Fundaments of Spatial Data Warehousing for Geographic Knowledge Discovery. In: Geographic Data Mining and Knowledge Discovery, pp. 53–73. Taylor & Francis, London (2001)
Bimonte, S., Tchounikine, A., Miquel, M.: Towards a Spatial Multidimensional Model. In: Proceedings of the 8th International Workshop on Data Warehousing and OLAP (DOLAP 2005), pp. 39–46. ACM Press, New York (2005)
Blaschka, M., Sapia, C., Hofling, G., Dinter, B.: Finding Your Way through Multidimensional Data Models. In: Proceedings of the 9th International Conference on Database and Expert systems Applications. LNCS, vol. 1490, pp. 198–203. Springer, Heidelberg (1998)
Fidalgo, R.N., Times, V.C., Silva, J., Souza, F.F.: GeoDWFrame: A Framework for Guiding the Design of Geographical Dimensional Schemas. In: Proceedings of Int. Conf. on Data Warehousing and Knowledge Discovery, Zaragosa, Spain, pp. 26–37 (2004)
Kouba, Z., Matoušek, K., Mikšovský, P.: On Data Warehouse and GIS integration. In: Ibrahim, M., Küng, J., Revell, N. (eds.) DEXA 2000. LNCS, vol. 1873. Springer, Heidelberg (2000)
Malinowski, E., Zimányi, E.: Representing spatiality in a conceptual multidimensional model. In: Proceedings of the 12th annual ACM International workshop on Geographic information systems, pp. 12–22. ACM Press, New York (2004)
Marchand, P., Brisebois, A., Bédard, Y., Edwards, G.: Implementation and evaluation of a hypercube-based method for spatio-temporal exploration and analysis. Journal of the International Society of Photogrammetry and Remote Sensing 59, 6–20 (2003)
Pedersen, T.B.: Aspects of data modeling and query processing for complex multidimensional data. Ph.D. Thesis, Aalborg University, Aalborg st, Denmark (1998)
Pourabbas, E.: Cooperation with geographic databases. In: Rafanelli, M. (ed.) Multidimensional Databases: Problems and Solutions, pp. 393–432. Idea Group Publishing (2003)
Rivest, S., Bédard, Y., Marchand, P.: Toward Better Support for Spatial Decision Making: Defining the Characteristics of Spatial On-Line Analytical Processing (SOLAP). Geomatica 55(4), 539–555 (2001)
Stefanovic, N., Han, J., Koperski, K.: Object-Based Selective Materialization for Efficient Implementation of Spatial Data Cubes. IEEE TKDE 12(6), 938–958 (2000)
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Bimonte, S., Tchounikine, A., Miquel, M. (2006). GeoCube, a Multidimensional Model and Navigation Operators Handling Complex Measures: Application in Spatial OLAP. In: Yakhno, T., Neuhold, E.J. (eds) Advances in Information Systems. ADVIS 2006. Lecture Notes in Computer Science, vol 4243. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11890393_11
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DOI: https://doi.org/10.1007/11890393_11
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