Geospatial micro-estimates of slum populations in 129 Global South countries using machine learning and public data Post author:Datasetly Post published: July 10, 2025 Post category:Business, Finance, Economics / Geospatial / Government, Policy, Politics / Population, Poverty, Mortality / Public health / Urban informatics SUBSCRIBE TO ACCESS DATASET INFORMATION Tags: AI, Big data, Dataset, Geospatial, Machine learning, Publication, Research Read more articles Previous PostA high-resolution pan-Arctic meltwater discharge dataset from 1950 to 2021 Next PostCultivated-pasture dataset of the Tibetan Plateau from 1988 to 2021 You Might Also Like ZTBus: A large dataset of time-resolved city bus driving missions July 14, 2025 Subsidence in coastal cities throughout the world observed by InSAR July 16, 2025 High-resolution water use dataset for mainland China, for the period of 1965 to 2022 July 9, 2025
