Competitive Learning Approach to GIS Based Land Use Suitability Analysis
文献类型：期刊论文
| 作者 | Tellez Ricardo Delgado2; Wang Shaohua1; Zhong Ershun1 ; Cai Wenwen3; Long Liang1
|
| 刊名 | Journal of Resources and Ecology
 |
| 出版日期 | 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 |
| 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.中国科学院大学 3.SuperMap Software Co. Ltd. |
| 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. |
入库方式： OAI收割
来源：地理科学与资源研究所
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