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Spatial aggregations for spatial based decision 
作者姓名:ByeongSeob You  DongWook Lee  SangHun Eo  SookKyung Cho  HaeYoung Bae
作者单位:Department of Computer Science and Information Engineering, Inha University,Incheon 402-751, Korea
基金项目:This research was supported by the MIC (Ministry of Information and Communication), Korea, under the ITRC (Information Technology Research Center) support program supervised by the IITA (Institute of Information Technology Assessment)
摘    要:For spatial based decision making such as choice of best place to construct a new department store, spatial data warehousing system is required more and more previous spatial data warehousing systems; however, provided decision making of nonspatial data on a map and so those cannot support enough spatial based decision making. The spatial aggregations are proposed for spatial based decision making in spatial data warehouses. The meaning of aggregation operators for applying spatial data was modified and new spatial aggregations were defined. These aggregations can support hierarchical concept of spatial measure. Using these aggregations, the spatial analysis classified by nonspatial data is provided. In case study, how to use these aggregations and how to support spatial based decision making are shown.

关 键 词:spatial  data  warehouse  spatial  aggregation  spatial  based  decision  making
文章编号:1673-825X(2007)03-0318-05
收稿时间:2007-02-10
修稿时间:2007-02-10

Spatial aggregations for spatial based decision making in spatial data warehouses
ByeongSeob You,DongWook Lee,SangHun Eo,SookKyung Cho,HaeYoung Bae.Spatial aggregations for spatial based decision making in spatial data warehouses[J].Journal of Chongqing University of Posts and Telecommunications,2007,19(3):318-322.
Authors:ByeongSeob You  DongWook Lee  SangHun Eo  SookKyung Cho  HaeYoung Bae
Affiliation:Department of Computer Science and Information Engineering, Inha University,Incheon 402-751, Korea
Abstract:For spatial based decision making such as choice of best place to construct a new department store, spatial data warehousing system is required more and more previous spatial data warehousing systems; however, provided decision making of non-spatial data on a map and so those cannot support enough spatial based decision making. The spatial aggregations are proposed for spatial based decision making in spatial data warehouses. The meaning of aggregation operators for applying spatial data was modified and new spatial aggregations were defined. These aggregations can support hierarchical concept of spatial measure. Using these aggregations, the spatial analysis classified by non-spatial data is provided. In case study, how to use these aggregations and how to support spatial based decision making are shown.
Keywords:spatial data warehouse  spatial aggregation  spatial based decision making
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