| 基于粗糙集理论的地学空间关系规则分析及其应用——以珠江三角洲为例 |
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| 引用本文： | 葛咏,曹峰,杜云艳,LAKHAN V.Chris,王英杰,李德玉.基于粗糙集理论的地学空间关系规则分析及其应用——以珠江三角洲为例[J].地理学报(英文版),2011,21(1):101-117. |
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| 作者姓名： | 葛咏 曹峰 杜云艳 LAKHAN V.Chris 王英杰 李德玉 |
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| 作者单位： | State Key Laboratory of Resources and Environmental Information System,Institute of Geographic Sciences and Natural Resources Research,CAS;Department of Earth and Environmental Sciences,University of Windsor;School of Computer & Information Technology of Shanxi University |
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| 基金项目： | Foundation： National Natural Science Foundation of China, No.40971222; State Key Laboratory of Independent Innova- tion Team Project, No.O88RA203SA; National Natural Science Foundation of China, No.60970014, 60875040; Foundation of Doctoral Program Research of the Ministry of Education of China, No.200801080006; Natural Science Foundation of Shanxi Province, No.2010011021-1 |
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| 摘 要： | Spatial relations,reflecting the complex association between geographical phenomena and environments,are very important in the solution of geographical issues. Different spatial relations can be expressed by indicators which are useful for the analysis of geographical issues. Urbanization,an important geographical issue,is considered in this paper. The spatial relationship indicators concerning urbanization are expressed with a decision table. Thereafter,the spatial relationship indicator rules are extracted based on the application of rough set theory. The extraction process of spatial relationship indicator rules is illustrated with data from the urban and rural areas of Shenzhen and Hong Kong,located in the Pearl River Delta. Land use vector data of 1995 and 2000 are used. The extracted spatial relationship indicator rules of 1995 are used to identify the urban and rural areas in Zhongshan,Zhuhai and Macao. The identification accuracy is approximately 96.3%. Similar procedures are used to extract the spatial relationship indicator rules of 2000 for the urban and rural areas in Zhongshan,Zhuhai and Macao. An identification accuracy of about 83.6% is obtained.
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| 关 键 词： | rough set theory spatial relations spatial indicator rules land use change |
Application of rough set-based analysis to extract spatial relationship indicator rules: An example of land use in Pearl River Delta |
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| Yong Ge,Feng Cao,Yunyan Du,V. Chris Lakhan,Yingjie Wang,Deyu Li.Application of rough set-based analysis to extract spatial relationship indicator rules: An example of land use in Pearl River Delta[J].Journal of Geographical Sciences,2011,21(1):101-117. |
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| Authors: | Yong Ge Feng Cao Yunyan Du V Chris Lakhan Yingjie Wang Deyu Li |
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| Institution: | (1) Faculty of Business Administration, Yokohama National University, 79-4 Tokiwadai, Hodogaya-Ku, Yokohama 240-8501, Japan |
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| Abstract: | Spatial relations, reflecting the complex association between geographical phenomena and environments, are very important
in the solution of geographical issues. Different spatial relations can be expressed by indicators which are useful for the
analysis of geographical issues. Urbanization, an important geographical issue, is considered in this paper. The spatial relationship
indicators concerning urbanization are expressed with a decision table. Thereafter, the spatial relationship indicator rules
are extracted based on the application of rough set theory. The extraction process of spatial relationship indicator rules
is illustrated with data from the urban and rural areas of Shenzhen and Hong Kong, located in the Pearl River Delta. Land
use vector data of 1995 and 2000 are used. The extracted spatial relationship indicator rules of 1995 are used to identify
the urban and rural areas in Zhongshan, Zhuhai and Macao. The identification accuracy is approximately 96.3%. Similar procedures
are used to extract the spatial relationship indicator rules of 2000 for the urban and rural areas in Zhongshan, Zhuhai and
Macao. An identification accuracy of about 83.6% is obtained. |
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| Keywords: | rough set theory spatial relations spatial indicator rules land use change |
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