A Mixed Application of Geographically Weighted Regression and Unsupervised Classification for Analyzing Latex Yield Variability in Yunnan, China
文献类型：期刊论文
| 作者 | Kim, Oh Seok1,7; Nugent, Jeffrey B.2; Yi, Zhuang-Fang3,4; Newell, Joshua P.5; Curtis, Andrew J.6 |
| 刊名 | FORESTS
 |
| 出版日期 | 2017-05-01 |
| 卷号 | 8期号:5 |
| 关键词 | agricultural yield mixed method geographically weighted regression iterative self-organizing data analysis technique rubber plantation Xishuangbanna Mekong region |
| 语种 | 英语 |
| 源URL | [http://ir.kib.ac.cn/handle/151853/54455]  |
| 专题 | 昆明植物研究所_离退休 |
| 作者单位 | 1.Univ Southern Calif, Geog Doctoral Program, Los Angeles, CA 90089 USA 2.Univ Southern Calif, Dept Econ, Los Angeles, CA 90089 USA 3.Chinese Acad Sci, Kunming Inst Bot, Kunming 650201, Peoples R China 4.World Agroforestry Ctr ICRAF East & Cent Asia, Kunming 650201, Peoples R China 5.Univ Michigan, Sch Nat Resources & Environm, Ann Arbor, MI 48109 USA 6.Kent State Univ, Dept Geog, Kent, OH 44242 USA 7.Korea Environm Inst, Sejong 30147, South Korea |
| 推荐引用方式 GB/T 7714 | Kim, Oh Seok,Nugent, Jeffrey B.,Yi, Zhuang-Fang,et al. A Mixed Application of Geographically Weighted Regression and Unsupervised Classification for Analyzing Latex Yield Variability in Yunnan, China[J]. FORESTS,2017,8(5). |
| APA | Kim, Oh Seok,Nugent, Jeffrey B.,Yi, Zhuang-Fang,Newell, Joshua P.,&Curtis, Andrew J..(2017).A Mixed Application of Geographically Weighted Regression and Unsupervised Classification for Analyzing Latex Yield Variability in Yunnan, China.FORESTS,8(5). |
| MLA | Kim, Oh Seok,et al."A Mixed Application of Geographically Weighted Regression and Unsupervised Classification for Analyzing Latex Yield Variability in Yunnan, China".FORESTS 8.5(2017). |
入库方式： OAI收割
来源：昆明植物研究所
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