Full-Text Search:
Home|About CNKI|User Service|中文
Add to Favorite Get Latest Update

Hybrid Entropy Model of Spatial Data Uncertainty in GIS

SHI Yufeng~(1,2,3) SHI Wenzhong~(3) JIN Fengxiang~(4)(1 School of Architecture Engineering,Shandong University of Technology,12 Zhangzhou Road,Zhangdian District,Zibo 255049,China)(2 Key Laboratory of Geospace Environment and Geodesy,Ministry of Education,Wuhan University,129 Luoyu Road,Wuhan 430079,China)(3 Advanced Research Center for Spatial Information Technology,Department of Land Surveying and Geo-informatics,The Hong Kong Polytechnic University,Hunghom,Kowloon,Hong Kong)(4 Presidential Secretariate,Shandong University of Science & Technology,579 Qianwangang Road,Qingdao 266510,China)  
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.
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
©CNKI All Rights Reserved