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Detecting and mapping slums using open data: a case study in Kenya

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2013Assessing Completeness and Spatial Error of Features in Volunteered Geographic Information132 cited

2017Detecting social groups from space – Assessment of remote sensing-based mapped morphological slums using income data122 cited

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2019Extending Data for Urban Health Decision-Making: a Menu of New and Potential Neighborhood-Level Health Determinants Datasets in LMICs30 cited
2024Green mining in China: Fintech's contribution to enhancing innovation performance aimed at sustainable and digital transformation in the mining sector29 cited
2023Mapping Deprived Urban Areas Using Open Geospatial Data and Machine Learning in Africa22 cited
2023Capturing deprived areas using unsupervised machine learning and open data: a case study in São Paulo, Brazil15 cited
2021IMMerSe: An integrated methodology for mapping and classifying precarious settlements14 cited
2021Mapping the Morphology of Urban Deprivation7 cited
2026Geospatial micro-estimates of slum populations in 129 Global South countries using machine learning and public data3 cited
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