DocumentCode
2902517
Title
The Geometrical Distortion of Discrete Global Grid in Multi-resolution Expression
Author
Tao, Ming ; Dafang, Zhuang
Volume
3
fYear
2009
fDate
4-5 July 2009
Firstpage
318
Lastpage
321
Abstract
Multi-resolution expression is the import characteristic of discrete global grid. The geometrical distortion in multi-resolution expression can decide the ability of multi-scale transformation of discrete global grid. It is also the influencing factor of stability of discrete global grid. The source of geometrical distortion in multi-resolution expression was analyzed in this article. The method of expressing low-resolution partition by high-resolution partition in different parting depth was researched. The difference of error between expression by partition in steady depth and expression by direct calculation was analysed. Four representative discrete global grids were selected as objects of study. They were QTM, Synder, SQT and STQIE. To every kind of discrete global grid, the quantity of area distortion and side distortion of parting triangle between actual partition and ideal partition was calculated. Based on the data of area and side and their error of each grid, the statistical indicators such as mean value standard deviation, relative range, Relative error of mean were analyzed. Finally the rules of area distortion in multi-resolution expression of different kind of discrete global grid were gotton. And it was also concluded that the influence of side distortion was few in multi-resolution expression.
Keywords
computational geometry; grid computing; QTM; SQT; STQIE; Synder; discrete global grid; geometrical distortion; multiresolution expression; multiscale transformation; parting triangle; Content addressable storage; Data structures; Educational technology; Information science; Multiresolution analysis; Shape; Solids; Spatial resolution; Stability; Tsunami; discrete global grid; geometrical distortion; multi-resolution expression;
fLanguage
English
Publisher
ieee
Conference_Titel
Environmental Science and Information Application Technology, 2009. ESIAT 2009. International Conference on
Conference_Location
Wuhan
Print_ISBN
978-0-7695-3682-8
Type
conf
DOI
10.1109/ESIAT.2009.437
Filename
5199699
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