Spatio-temporal data revision: a review

Xiaoguang Deng; Huayi Wu; Deren Li

doi:10.1117/12.813116

10 November 2008 Spatio-temporal data revision: a review

Xiaoguang Deng, Huayi Wu, Deren Li

Proceedings Volume 7146, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Advanced Spatial Data Models and Analyses; 71460P (2008) https://doi.org/10.1117/12.813116
Event: Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments, 2008, Guangzhou, China

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 Out-of-date or inaccurate spatial data could contaminate GIS results in direct correlation to the obsolescence and inaccuracy of the spatial data.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.

Citation Download Citation

Xiaoguang Deng, Huayi Wu, and Deren Li "Spatio-temporal data revision: a review", Proc. SPIE 7146, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Advanced Spatial Data Models and Analyses, 71460P (10 November 2008); https://doi.org/10.1117/12.813116

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