Hybrid entropy model of spatial data uncertainty in GIS

Yufeng Shi, Wen Zhong Shi, Fengxiang Jin

Research output: Journal article publicationJournal articleAcademic researchpeer-review

14 Citations (Scopus)


基于信息理论和模糊集合理论,针对GIS中部分空间数据既具有随机性又具有模糊性的特点,建立了空间数据不确定性的混合熵模型。以GIS中线元不确定性为例,讨论了线元不确定性的统计熵、模糊熵和混合熵估计方法,并针对特例给出了线元不确定性的熵带分布。||Based on the information theory and fuzzy set theory, in the light of the characteristics of randomicity and fuzziness of part spatial data in GIS,this paper proposes a hybrid entropy model of spatial data uncertainty,and hybrid entropy can be used to measure the total uncertainty of spatial data caused by stochastic uncertainty and fuzziness uncertainty.Taking the uncertainty of line segment as an example,this paper discusses the evaluating methods of statistic entropy,fuzziness entropy,and hybrid entropy of line segment uncertainty.And the entropy-band distribution of line segment uncertainty is shown.
Original languageChinese (Simplified)
Pages (from-to)82-85
Number of pages4
JournalGeomatics and Information Science of Wuhan University
Issue number1
Publication statusPublished - 1 Jan 2006


  • Fuzzy entropy
  • Hybrid entropy
  • Line segment
  • Spatial data
  • Statistic entropy
  • Uncertainty

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Earth-Surface Processes

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