Modeling Production-Living-Ecological Space for Chengdu, China: An Analytical Framework Based on Machine Learning with Automatic Parameterization of Environmental Elements

Cities worldwide are facing the dual pressures of growing population and land expansion, leading to the intensification of conflicts in urban productive-living-ecological spaces (PLES). Therefore, the question of “how to dynamically judge the different thresholds of different indicators of PLES” pla...

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Detalles Bibliográficos
Autores principales: Cao, Qi, Tang, Junqing, Huang, Yudie, Shi, Manjiang, van Rompaey, Anton, Huang, Fengjue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10001890/
https://www.ncbi.nlm.nih.gov/pubmed/36900922
http://dx.doi.org/10.3390/ijerph20053911

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10001890/
https://www.ncbi.nlm.nih.gov/pubmed/36900922
http://dx.doi.org/10.3390/ijerph20053911

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