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Proceedings Paper

Spatio-temporal data revision: a review
Author(s): Xiaoguang Deng; Huayi Wu; Deren Li
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Paper Abstract

The revision of geographical data is still one of the major open challenges for the successful implementation of Geographic Information Systems (GIS). Nowadays, Geographic Information Systems are considered to be truly analysis and decision-making tools. For that reason, a growing number of organizations invest in such systems and add specific information necessary to the tasks for which they have the responsibility. Spatial data are the backbone of GIS analysis, but only current and accurate spatial data can provide the appropriate framework for successful use of GIS technology. Out-of-date or inaccurate spatial data could contaminate GIS results in direct correlation to the obsolescence and inaccuracy of the spatial data. There is a great need for cost-efficient spatial data revision and quality control methods in order to update the master and user spatial databases, fulfilling the request of the most faithful image of the geographic space reality. This paper tries to provide a review of latest achievements on Spatio-temporal Data Revision (SDR). A comparison of three popular revision models is given in detail.

Paper Details

Date Published: 10 November 2008
PDF: 8 pages
Proc. SPIE 7146, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Advanced Spatial Data Models and Analyses, 71460P (10 November 2008); doi: 10.1117/12.813116
Show Author Affiliations
Xiaoguang Deng, Wuhan Univ. (China)
Huayi Wu, Wuhan Univ. (China)
Deren Li, Wuhan Univ. (China)


Published in SPIE Proceedings Vol. 7146:
Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Advanced Spatial Data Models and Analyses
Lin Liu; Xia Li; Kai Liu; Xinchang Zhang, Editor(s)

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