Identifying Urban Areas by Combining Human Judgment and Machine Learning : An Application to India
This paper proposes a methodology for identifying urban areas that combines subjective assessments with machine learning, and applies it to India, a country where several studies see the official urbanization rate as an under-estimate. For a repres...
Main Authors: | Galdo, Virgilio, Li, Yue, Rama, Martin |
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Format: | Working Paper |
Language: | English |
Published: |
World Bank, Washington, DC
2020
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Subjects: | |
Online Access: | http://documents.worldbank.org/curated/en/920791582554716856/Identifying-Urban-Areas-by-Combining-Human-Judgment-and-Machine-Learning-An-Application-to-India http://hdl.handle.net/10986/33392 |
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