Topological relations under uncertainty in GIS spatial data

Jianxin Gao; Yangling Xia; Daxiang Chen

doi:10.1117/12.813129

10 November 2008 Topological relations under uncertainty in GIS spatial data

Jianxin Gao, Yangling Xia, Daxiang Chen

Proceedings Volume 7146, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Advanced Spatial Data Models and Analyses; 714612 (2008) https://doi.org/10.1117/12.813129
Event: Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments, 2008, Guangzhou, China

Abstract

Spatial relation theory is one of the hottest research topics in the GIS circle both at home and abroad. This research intends to analyze relevant research findings over the past more than a decade and latest academic development to point out major problems and inadequacy in existing researches, focusing on the topological relations and uncertainty in GIS to engage in a systematic investigation. This research discusses the present situation of the overall GIS field, the development of GIS, and features of the present development of GIS technology. It also investigates and analyzes relevant issues, such as the uncertainty in topological relations which is caused by the inaccuracy of, and uncertainty in, GIS spatial data, spatial reasoning, spatial searching, spatial-searching language, image segmentation, the theoretical development of topological relations, the trend of GIS development, and the problems in the development of GIS in the 21^st century. The "egg-yolk model" is formulated. The "egg" is the maximum range of the fuzzy target while the "yolk" is the minimum range of the fuzzy target and the "white" is the scope of the uncertainty.

Citation Download Citation

Jianxin Gao, Yangling Xia, and Daxiang Chen "Topological relations under uncertainty in GIS spatial data", Proc. SPIE 7146, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Advanced Spatial Data Models and Analyses, 714612 (10 November 2008); https://doi.org/10.1117/12.813129

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KEYWORDS

Geographic information systems

Analytical research

Fuzzy logic

Image processing

Image segmentation

Remote sensing

Data modeling

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