空间目标不确定性的表达方法及其在GIS中的应用分析

¹ 伦敦大学地理信息工程系,英国伦敦,WC1E 6BT² 中山大学地理科学与规划学院,广州市新港西路135号, 510275³ 中南大学测绘与国土信息工程系,长沙市岳麓山, 410083⁴ 香港理工大学土地测量与地理资讯学系,香港九龙红磡

基金项目: 国家973计划资助项目(2006CB701305);中山大学985计划资助项目(37000-325382);测绘遥感信息工程国家重点实验室开放研究基金资助项目(WKL050303)。

详细信息

Representation Methods of Spatial Objects with Uncertainty and Their Application in GIS

¹ Department of Geomatic Engineering, University College London, Gower Street, WC1E 6BT, London, United Kingdom ;² School of Geography and Urban Planning, Sun Yatsen University, 135 West Xingang Road, Guangzhou 510275, China ;³ Department of Surveying and Geo-informatics, Central South University,Yuelushan, Changsha 410083, China ;⁴ Department of Land Surveying and Geo-informatics, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong

Funds: 国家973计划资助项目(2006CB701305);中山大学985计划资助项目(37000-325382);测绘遥感信息工程国家重点实验室开放研究基金资助项目(WKL050303)。

摘要: 分析了地理空间目标不确定性的特征和产生机理,建立了空间目标不确定性的分类体系。在此基础上,从方法论的角度分别阐述了处理空间目标不确定性的数学方法,给出了各种数学方法的联系和区别。最后,通过一个实例验证了不同的表达方法可得到不同的结果。
- 空间目标 /
- 不确定性 /
- 机理 /
- 模糊性 /
- 云理论
Abstract: This paper investigates the causes and origins of uncertainties in spatial objects and their classifications. Then, several mathematical tools including fuzzy set theory, rough set theory and cloud theory are presented to handle these uncertainties. Later on, the linkages between these theories are further explored and a unified representation based upon the cloud theory is proposed. A practical example of a river with different water levels is provided to illustrate the usefulness of the methods proposed.
- spatial object /
- uncertainty /
- mechanism /
- fuzziness /
- cloud theory