General entropy model of line segments uncertainty in GIS

Yufeng Shi, Wen Zhong Shi

Research output: Journal article publicationJournal articleAcademic researchpeer-review


Spatial data uncertainty can directly affect the quality of digital products and GIS-based decision making. On the basis of the characteristics of randomicity of positional data and fuzziness of attribute data, taking entropy as a measure, the stochastic entropy model of positional data uncertainty and fuzzy entropy model of attribute data uncertainty are proposed. As both randomicity and fuzziness usually simultaneously exist in linear segments, their omnibus effects are also investigated and quantified. A novel uncertainty measure, general entropy, is presented. The general entropy can be used as a uniform measure to quantify the total uncertainty caused by stochastic uncertainty and fuzzy uncertainty in GIS.
Original languageEnglish
Pages (from-to)61-66
Number of pages6
JournalGeo-Spatial Information Science
Issue number1
Publication statusPublished - 5 Mar 2007


  • Fuzzy entropy
  • General entropy
  • Line segment
  • Stochastic entropy
  • Uncertainty
  • Uniform measure

ASJC Scopus subject areas

  • Geography, Planning and Development
  • Computers in Earth Sciences


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