A Mixed Application of Geographically Weighted Regression and Unsupervised Classification for Analyzing Latex Yield Variability in Yunnan, China

This paper introduces a mixed method approach for analyzing the determinants of natural latex yields and the associated spatial variations and identifying the most suitable regions for producing latex. Geographically Weighted Regressions (GWR) and Iterative Self-Organizing Data Analysis Technique (I...

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Detalles Bibliográficos
Autores principales: Kim, Oh Seok, Nugent, Jeffrey B., Yi, Zhuang-Fang, Newell, Joshua P., Curtis, Andrew J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5796418/
https://www.ncbi.nlm.nih.gov/pubmed/29399301
http://dx.doi.org/10.3390/f8050162

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5796418/
https://www.ncbi.nlm.nih.gov/pubmed/29399301
http://dx.doi.org/10.3390/f8050162

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