Competitive Learning Approach to GIS Based Land Use Suitability Analysis

	Competitive Learning Approach to GIS Based Land Use Suitability Analysis
	Tellez Ricardo Delgado 3; Wang Shaohua 1; Zhong Ershun 1; Cai Wenwen 2; Long Liang 1
刊名	Journal of Resources and Ecology
	2016
卷号	7 期号:6 页码:430
关键词	土地利用适宜性分析
ISSN号	1674-764X
英文摘要	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.
语种	英语
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/155791]
专题	中国科学院地理科学与资源研究所
作者单位	1.中国科学院地理科学与资源研究所 2.SuperMap Software Co. Ltd. 3.中国科学院大学
推荐引用方式 GB/T 7714	Tellez Ricardo Delgado,Wang Shaohua,Zhong Ershun,et al. Competitive Learning Approach to GIS Based Land Use Suitability Analysis[J]. Journal of Resources and Ecology,2016,7(6):430.
APA	Tellez Ricardo Delgado,Wang Shaohua,Zhong Ershun,Cai Wenwen,&Long Liang.(2016).Competitive Learning Approach to GIS Based Land Use Suitability Analysis.Journal of Resources and Ecology,7(6),430.
MLA	Tellez Ricardo Delgado,et al."Competitive Learning Approach to GIS Based Land Use Suitability Analysis".Journal of Resources and Ecology 7.6(2016):430.