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Proceedings Paper

Positional uncertainty of manual digitization vertex based on simulation test
Author(s): Huisheng Wu; Zhaoli Liu; Lifang Lin
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Paper Abstract

The theoretical models of positional uncertainty of vertexes have been derived from overlay of the error ellipse models that are considered as the positional uncertainty models of line endpoints. Using probability theory and simulation tests, we mainly study the positional uncertainty characteristics of manual digitization vertex. The research results are as follows: first, using the method, that is sequentially digitizing a series of vertexes with different turning angles, repeating about six hundred times, we can get the stable distribution of frequency of digitizing points; second, in the direction of the angular bisector of turning angle, with the value of turning angle increased, the digitizing points from digitizing vertexes have a trend for gather, and the frequency distribution whose peak is less than three shows skewness, while in the direction of the perpendicular angular bisector of turning angle, digitizing points of vertexes with the acute turning angles are more concentrated than the ones with obtuse angles, and the distribution performs a state of symmetric but not the standard normal distribution; third, two dimensional uncertainty model of digitizing vertexes whose plane projection is a type of irregular geometric shape is a joint distribution model combined by skew distribution and approximate normal distribution.

Paper Details

Date Published: 10 November 2008
PDF: 9 pages
Proc. SPIE 7146, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Advanced Spatial Data Models and Analyses, 71460X (10 November 2008); doi: 10.1117/12.813124
Show Author Affiliations
Huisheng Wu, Northeast Institute of Geography and Agricultural Ecology (China)
Graduate School of the Chinese Academy of Sciences (China)
Zhaoli Liu, Northeast Institute of Geography and Agricultural Ecology (China)
Lifang Lin, Dalian Maritime Univ. (China)


Published in SPIE Proceedings Vol. 7146:
Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Advanced Spatial Data Models and Analyses

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