Urban waterlogging susceptibility assessment based on hybrid ensemble machine learning models: A case study in the metropolitan area in Beijing, China
Published: 26 June 2023| Version 1 | DOI: 10.17632/fyr4xhh76j.1
Contributor:
Mingqi YanDescription
These are source data used to conduct experiement presented in Urban waterlogging susceptibility assessment based on hybrid ensemble machine learning models: A case study in the metropolitan area in Beijing, China
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Institutions
University of Wisconsin Madison, Beijing Normal University
Categories
Geographic Information Systems, Machine Learning