Journal of Geographical Sciences ›› 2011, Vol. 21 ›› Issue (1): 101-117.doi: 10.1007/s11442-011-0832-y

• Application of GIS • Previous Articles     Next Articles

Application of rough set-based analysis to extract spatial relationship indicator rules: An example of land use in Pearl River Delta

GE Yong1, CAO Feng1, DU Yunyan1, LAKHAN V. Chris2, WANG Yingjie1, LI Deyu3   

  1. 1. State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China|
    2. Department of Earth and Environmental Sciences, University of Windsor, ON N9B 3P4, Canada|
    3. School of Computer &|Information Technology of Shanxi University, Taiyuan 030006, China
  • Received:2010-03-23 Revised:2010-08-31 Online:2011-02-15 Published:2011-01-13
  • Supported by:

    National Natural Science Foundation of China, No.40971222; State Key Laboratory of Independent Innovation 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


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.

Key words: rough set theory, spatial relations, spatial indicator rules, land use change