Identifying Urban Poverty Using High-Resolution Satellite Imagery and Machine Learning Approaches: Implications for Housing Inequality
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- Aziza Usmanova & Ahmed Aziz & Dilshodjon Rakhmonov & Walid Osamy, 2022. "Utilities of Artificial Intelligence in Poverty Prediction: A Review," Sustainability, MDPI, vol. 14(21), pages 1-39, October.
- Ziqi Zhou & Yung Yau, 2021. "The Small Property Rights Housing Institution in Mainland China: The Perspective of Substitutability of Institutional Functions," Land, MDPI, vol. 10(9), pages 1-19, August.
- Yiting Su & Jing Li & Dongchuan Wang & Jiabao Yue & Xingguang Yan, 2022. "Spatio-Temporal Synergy between Urban Built-Up Areas and Poverty Transformation in Tibet," Sustainability, MDPI, vol. 14(14), pages 1-22, July.
- Nattapong Puttanapong & Amornrat Luenam & Pit Jongwattanakul, 2022. "Spatial Analysis of Inequality in Thailand: Applications of Satellite Data and Spatial Statistics/Econometrics," Sustainability, MDPI, vol. 14(7), pages 1-25, March.
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Keywords
urban poverty; high-resolution satellite imagery; image features; machine learning approaches; China;All these keywords.
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