DocumentCode :
1990128
Title :
The Study on Geometrical Distortion of Triangular Partitions in  Discrete Global Grid
Author :
Ming Tao ; Zhuang Dafang ; Yuan Wen
Author_Institution :
Key Lab. of Geographic Inf. Sci., East China Normal Univ., Shanghai
Volume :
2
fYear :
2008
fDate :
21-22 Dec. 2008
Firstpage :
175
Lastpage :
178
Abstract :
The problem of distortion is a foundational field in the research of discrete global grid. And it is an important method to assess the discrete global grid. The research history in this field and the representational work were introduced. A new method was brought forward to compute the quantities of distortion. An ideal partition model of discrete global grid was built based on the analysis of distortion source. The errors between ideal partition and actual partition were computed. Four representative discrete global grids were selected and the errors of area and side of partition were computed. They were QTM, Synder, SQT and STQIE. Standard deviation and relative range of area and side were computed. The spatial distribution of error was analysed by using binomial polynomial regressions. The uniformity of discrete global grid was also discussed. Finally the change rules of error were discussed and the conclusions of distortion characteristic of discrete global grid were drawn.
Keywords :
computational geometry; geographic information systems; grid computing; quadtrees; regression analysis; QTM; SQT; STQIE; Synder; binomial polynomial regression; discrete global grid; distortion source; error spatial distribution; geometrical distortion; sphere quadtrees; standard deviation; triangular partitions; Educational technology; Error analysis; Geoscience and remote sensing; Grid computing; History; Information science; Laboratories; Polynomials; Shape; Statistics; discrete global grid; geometrical distortion; spatial distribution of error;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Education Technology and Training, 2008. and 2008 International Workshop on Geoscience and Remote Sensing. ETT and GRS 2008. International Workshop on
Conference_Location :
Shanghai
Print_ISBN :
978-0-7695-3563-0
Type :
conf
DOI :
10.1109/ETTandGRS.2008.168
Filename :
5070335
Link To Document :
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