Please use this identifier to cite or link to this item:
Title: 矢量GIS平面一般曲线等概率密度误差模型
Other Titles: Equivalent probability density error model to 2D generic curve in vector GIS
Authors: Tang, Z
Shi, W 
Keywords: GIS
Positional uncertainty
Equivalent probability density error model
Issue Date: 2007
Publisher: 武汉大学期刋社
Source: 武汉大学学报. 信息科学版 (Geomatics and information science of Wuhan University), Jan. 2007, v. 32, no. 1, p. 85-89 How to cite?
Journal: 武汉大学学报. 信息科学版 (Geomatics and information science of Wuhan University) 
Abstract: 基于数值分析、经典概率论和线状实体误差分布机理,定义了矢量GIS平面一般曲线等概率密度误差模型的概念,提出了平面一般曲线等概率密度误差模型尺度因子的概念和确定方法,结合平面一般曲线落入其相应等概率密度误差模型内的概率算法和概率置信水平,确定了尺度因子的具体数值,给出了平面一般曲线等概率密度误差模型的形状与规模。
Based on numerical calculation and error distribution mechanism of the linear entity in vector GIS,the modeling error theory of 2D generic curve in vector GIS has been researched.The concept named the equivalent probability density error model(Tepdem) is brought forward.The concepts and ascertaining methods on Scale factor used to determine the scale of Tepdem are presented.Based on the probability algorithm on a linear entity drops in its corresponding Tepdem and the probability confidence level,the scale of Tepdem to 2D generic curve are solved successfully.The theory and methods are provided,at the same time,the theory basis for GIS positional uncertainty research has been tamped to great extent.
ISSN: 1000-050X
EISSN: 1671-8860
Rights: © 2007 中国学术期刊电子杂志出版社。本内容的使用仅限于教育、科研之目的。
© 2007 China Academic Journal Electronic Publishing House. It is to be used strictly for educational and research use.
Appears in Collections:Journal/Magazine Article

Files in This Item:
File Description SizeFormat 
Tang_Equivalent_Probability_Density.pdf280.65 kBAdobe PDFView/Open
View full-text via PolyU eLinks SFX Query
Show full item record
PIRA download icon_1.1View/Download Contents


Last Week
Last month
Citations as of Jul 31, 2018

Page view(s)

Last Week
Last month
Citations as of Aug 14, 2018


Citations as of Aug 14, 2018

Google ScholarTM


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.