Paper
13 October 2009 A data integration index-hiberarchy index tree based on urbanization integration system
Lingli Zhao, Renliang Zhao, Jianjun Zhu
Author Affiliations +
Proceedings Volume 7492, International Symposium on Spatial Analysis, Spatial-Temporal Data Modeling, and Data Mining; 749207 (2009) https://doi.org/10.1117/12.838668
Event: International Symposium on Spatial Analysis, Spatial-temporal Data Modeling, and Data Mining, 2009, Wuhan, China
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.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lingli Zhao, Renliang Zhao, and Jianjun Zhu "A data integration index-hiberarchy index tree based on urbanization integration system", Proc. SPIE 7492, International Symposium on Spatial Analysis, Spatial-Temporal Data Modeling, and Data Mining, 749207 (13 October 2009); https://doi.org/10.1117/12.838668
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