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文章基本信息

  • 标题:A new approach to simulate positional error of line segment in GIS
  • 本地全文:下载
  • 作者:Zhang Lei ; Deng Min ; Chen Xiaoyong
  • 期刊名称:Geo-spatial Information Science
  • 印刷版ISSN:1009-5020
  • 电子版ISSN:1993-5153
  • 出版年度:2006
  • 卷号:9
  • 期号:2
  • 页码:142-146
  • DOI:10.1007/BF02826940
  • 出版社:Taylor and Francis Ltd
  • 摘要:To determine the distribution of positional error of a line segment, Monte Carlo approach is applied to simulate the probability density function of a line segment with the assumption that the error of endpoints in a line segment follows a two-dimensional normal distribution. For such purpose, a stochastic generator used for uncertain endpoints with the two-dimensional normal distribution is presented. This forms the basis of the generation of random line segment for the simulation of the error model of a whole line segment. The error models cover the cases where two endpoints are either independent or dependent to each other, also including a special case that the distance between two random endpoints in a line segment is close enough.
  • 关键词:positional error; Monte Carlo simulation; line segment; stochastic point generator
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