Multiresolution spatial databases: Making web-based spatial applications faster

Zhou, X. F., Prasher, S., Sun, S. and Xu, K. (2004) Multiresolution spatial databases: Making web-based spatial applications faster. Advanced Web Technologies And Applications, 3007 36-47.

Author Zhou, X. F.
Prasher, S.
Sun, S.
Xu, K.
Title Multiresolution spatial databases: Making web-based spatial applications faster
Journal name Advanced Web Technologies And Applications   Check publisher's open access policy
ISSN 0302-9743
ISBN 3-540-21371-6
Publication date 2004-01-01
Year available 2004
Sub-type Article (original research)
Open Access Status Not yet assessed
Volume 3007
Start page 36
End page 47
Total pages 12
Place of publication Berlin
Publisher Springer-verlag Berlin
Language eng
Abstract Spatial data has now been used extensively in the Web environment, providing online customized maps and supporting map-based applications. The full potential of Web-based spatial applications, however, has yet to be achieved due to performance issues related to the large sizes and high complexity of spatial data. In this paper, we introduce a multiresolution approach to spatial data management and query processing such that the database server can choose spatial data at the right resolution level for different Web applications. One highly desirable property of the proposed approach is that the server-side processing cost and network traffic can be reduced when the level of resolution required by applications are low. Another advantage is that our approach pushes complex multiresolution structures and algorithms into the spatial database engine. That is, the developer of spatial Web applications needs not to be concerned with such complexity. This paper explains the basic idea, technical feasibility and applications of multiresolution spatial databases.
Keyword Computer Science, Theory & Methods
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Unknown

Document type: Journal Article
Sub-type: Article (original research)
Collections: Excellence in Research Australia (ERA) - Collection
School of Information Technology and Electrical Engineering Publications
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Citation counts: TR Web of Science Citation Count  Cited 4 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 13 times in Scopus Article | Citations
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Created: Tue, 14 Aug 2007, 00:09:01 EST