Using GIS and Machine Learning to Classify Residential Status of Urban Buildings in Low and Middle Income Settings
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Lloyd, C.T.; Sturrock, H.J.W.; Leasure, D.R.; Jochem, W.C.; Lázár, A.N.; Tatem, A.J. Using GIS and Machine Learning to Classify Residential Status of Urban Buildings in Low and Middle Income Settings. Remote Sens. 2020, 12, 3847. https://doi.org/10.3390/rs12233847
Lloyd CT, Sturrock HJW, Leasure DR, Jochem WC, Lázár AN, Tatem AJ. Using GIS and Machine Learning to Classify Residential Status of Urban Buildings in Low and Middle Income Settings. Remote Sensing. 2020; 12(23):3847. https://doi.org/10.3390/rs12233847
Chicago/Turabian StyleLloyd, Christopher T., Hugh J.W. Sturrock, Douglas R. Leasure, Warren C. Jochem, Attila N. Lázár, and Andrew J. Tatem. 2020. "Using GIS and Machine Learning to Classify Residential Status of Urban Buildings in Low and Middle Income Settings" Remote Sensing 12, no. 23: 3847. https://doi.org/10.3390/rs12233847