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Proceedings Paper

A data integration index-hiberarchy index tree based on urbanization integration system
Author(s): Lingli Zhao; Renliang Zhao; Jianjun Zhu
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Paper Abstract

Urban information is a kind of multi-sources data, and the variety of these data demands that we should set up an information system. One of the major tasks is to store massive spatial data and non-spatial data and manage these data effectively. One of the other major tasks of urbanization integration is how to search for spatial data and non-spatial data what we need into massive information, so we need to establish indexes for spatial data and non-spatial data and construct the relation between the two kinds of data in order to convenient query. The paper is focused on data indexes construction, classified indexes for non-spatial data, R-trees index for spatial data and puts forward an area hiberarchy index tree to build up direct relationship between spatial data and non-spatial data for seamless queries, and the experiment shows that the hiberarchy index tree is much validated and something useful is obtained.

Paper Details

Date Published: 13 October 2009
PDF: 10 pages
Proc. SPIE 7492, International Symposium on Spatial Analysis, Spatial-Temporal Data Modeling, and Data Mining, 749207 (13 October 2009); doi: 10.1117/12.838668
Show Author Affiliations
Lingli Zhao, Central South Univ. (China)
National Geomatics Ctr. of China (China)
Honghe Univ. (China)
Renliang Zhao, National Geomatics Ctr. of China (China)
Jianjun Zhu, Central South Univ. (China)


Published in SPIE Proceedings Vol. 7492:
International Symposium on Spatial Analysis, Spatial-Temporal Data Modeling, and Data Mining
Yaolin Liu; Xinming Tang, Editor(s)

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