The Index Storage Model for Urbanization Data Combined Query

Ling Li Zhao; Shu Ai Liu; Jun Sheng Li

doi:10.4028/www.scientific.net/AMR.532-533.1186

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 532-533The Index Storage Model for Urbanization Data...

The Index Storage Model for Urbanization Data Combined Query

Abstract:

Urban information is a kind of multi-sources data, the paper is focused on data indexes construction, classified indexes for non-spatial data, R-trees index for spatial data and the paper puts forward an area hiberarchy index tree structure to build up direct relationship between spatial data and non-spatial data for combined queries, and the experiment shows that the hiberarchy index tree is much validated and something useful is obtained.

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Periodical:

Advanced Materials Research (Volumes 532-533)

Pages:

1186-1190

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.532-533.1186

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Online since:

June 2012

Authors:

Ling Li Zhao, Shu Ai Liu, Jun Sheng Li

Keywords:

Classified Index, Combined Query, Hiberarchy Index Tree, R-Trees, Urbanization Data

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References

[1] Bömelburg, J., ATKIS-Datenintegration. Das Geoinformationssystem ATKIS und seine Nutzung in Wirtschaft und Verwaltung. 3. AdV-Symposium ATKIS, Koblenz (pp.199-204). (1996).

DOI: 10.26643/gis.v12i1.5207

Google Scholar

[2] Koch, C., Data Integration against Multiple Evolving Autonomous Schemata, PhD thesis, Technical University (TU) Vienna. (2001).

Google Scholar

[3] Dadam, P., Verteilte Datenbanken und Client/Server-Systeme. Grundlagen, Konzepte und Realisierungsformen, Berlin: Springer, (1996).

DOI: 10.1007/978-3-642-61472-9_3

Google Scholar

[4] Michael Zeiler．Modeling 0ur World[M]．ESRI Press，2000.

Google Scholar

[5] Guttman A. R-Trees: A Dynamic Index Structure for Spatial Searching[J]. Proc. ACM SIGMOD Int. Conf. on Management of Data, 1984: 47-57.

DOI: 10.1145/971697.602266

Google Scholar

[6] T. Sellis, N. Roussopoulos, and C. Faloutsos. The R+ tree: a dynamic index for multi-dimensionnal objects. In Proceedings of the 13th Conference on VLDB , London, England, 1987: 507-518.

Google Scholar

[7] Beckmann N. The R*-tree: An Efficient and Robust Access Method for Points and Rectangles[J]. Proceedings of the 1990 ACM SIGMOD Conf, 1990, 6: 322-331.

DOI: 10.1145/93605.98741

Google Scholar

[8] H. Samet. Recent developments in linear quadtree-based geographic information systems. Image and Vision Computing, 5(3): 187-197, Aug. (1987).

DOI: 10.1016/0262-8856(87)90049-7

Google Scholar