Socioeconomic and environmental factors of poverty in China using geographically weighted random forest regression model

Correlations between socioeconomic factors and poverty in regression models do not reflect actual relationships, especially when data exhibit patterns of spatial heterogeneity. Spatial regression models can estimate the relationships between socioeconomic factors and poverty in defined geographical...

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Detalles Bibliográficos
Autores principales: Luo, Yaowen, Yan, Jianguo, McClure, Stephen C., Li, Fei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8754530/
https://www.ncbi.nlm.nih.gov/pubmed/35022975
http://dx.doi.org/10.1007/s11356-021-17513-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8754530/
https://www.ncbi.nlm.nih.gov/pubmed/35022975
http://dx.doi.org/10.1007/s11356-021-17513-3

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