In this research, the authors propose a supervised machine learning approach, Random Forest, for population density appraisal in a large and dense developing city.
Citation:
Guzman, L.A., Camacho, R., Herrera, A.R. et al. 2022. Modeling population density guided by land use-cover change model: a case study of Bogotá. Popul Environ 43:553–575
Publication type:
Articles
Journal Article
Publication year:
2022
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