competitivelearningapproachtogisbasedlandusesuitabilityanalysis
文献类型：期刊论文
| 作者 | Tellez Ricardo Delgado1; Wang Shaohua2; Zhong Ershun2 ; Cai Wenwen3; Long Liang2
|
| 刊名 | journalofresourcesandecology
 |
| 出版日期 | 2016 |
| 卷号 | 7期号:6页码:430 |
| 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/311030/121783]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 作者单位 | 1.中国科学院大学 2.中国科学院地理科学与资源研究所 3.SuperMap Software Co. Ltd. |
| 推荐引用方式 GB/T 7714 | Tellez Ricardo Delgado,Wang Shaohua,Zhong Ershun,et al. competitivelearningapproachtogisbasedlandusesuitabilityanalysis[J]. journalofresourcesandecology,2016,7(6):430. |
| APA | Tellez Ricardo Delgado,Wang Shaohua,Zhong Ershun,Cai Wenwen,&Long Liang.(2016).competitivelearningapproachtogisbasedlandusesuitabilityanalysis.journalofresourcesandecology,7(6),430. |
| MLA | Tellez Ricardo Delgado,et al."competitivelearningapproachtogisbasedlandusesuitabilityanalysis".journalofresourcesandecology 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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