Competitive Learning Approach to GIS Based Land Use Suitability Analysis

  • 1. University of Chinese Academy of Sciences, Beijing 100049, China;
    2. State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences; Beijing 100101, China;
    3. SuperMap Software Co. Ltd., Beijing 100015, China

Received date: 2015-12-15

  Revised date: 2016-08-05

  Online published: 2016-11-15

Supported by

The research has been partially supported by project 2009DFA13000 funded by the Ministry of Science and Technology of the People’s Republic of China, Beijing science and technology projects (Z151100003615012, Z151100003115007), Independent research project of State Key Laboratory of Resources and Environmental Information System (088RAC00YA), Surveying and mapping project of public welfare (201512015), Project of Beijing Excellent Talents (201500002685XG242), National Postdoctoral International Exchange Program (Grant No. 20150081), National Natural Science Foundation of China (Grant No. 41101116, 41271546), Postdoctoral Fund of Chaoyang District.


This paper uses the expected utility under risk hypothesis to develop a new approach to GIS modeling for land use suitability analysis with competitive learning algorithms (CLG-LUSA). It uses Kohonen’s Self Organized Maps (SOM) and Linear Vector Quantization (LVQ) among other tools to create comprehensive ordering of high number of options. The model uses decision makers preferred locations and environmental data to construct a manifold of the decision’s attribute space. Then, decision and uncertainty maps are derived from this manifold. An application example is provided using the selection of suitable environments for coconut development in a municipality of Cuba. CLG-LUSA model was able to provide accurate visual feedback of key aspects of the decision process, making the methodology suitable for personal or group decision making.

Cite this article

TELLEZ Ricardo Delgado, WANG Shaohua, ZHONG Ershun, CAI Wenwen, LONG Liang . Competitive Learning Approach to GIS Based Land Use Suitability Analysis[J]. Journal of Resources and Ecology, 2016 , 7(6) : 430 -438 . DOI: 10.5814/j.issn.1674-764x.2016.06.003


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