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IMMerSe: An integrated methodology for mapping and classifying precarious settlements
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References

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  • 2019The Sustainable Development Goals Report 20193,543 cited
  • 2020Geographic Information Systems1,737 cited
  • 2012Urban Poverty in the Global South: Scale and Nature392 cited
  • 2016Improving the health and welfare of people who live in slums304 cited
  • 2019Mapping the visibility of informal settlements111 cited
  • 2020Need for an Integrated Deprived Area “Slum” Mapping System (IDEAMAPS) in Low- and Middle-Income Countries (LMICs)93 cited
  • 2016FORMS OF INFORMALITY AND ADAPTATIONS IN INFORMAL SETTLEMENTS78 cited
  • 2008Déficit habitacional no Brasil : 200864 cited
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  • 2013Urban slum structure: integrating socioeconomic and land cover data to model slum evolution in Salvador, Brazil39 cited
  • 2018Slum: Comparing municipal and census basemaps38 cited
  • 2016Urbanização de favelas na Região do ABC no âmbito do Programa de Aceleração do Crescimento-Urbanização de Assentamentos Precários21 cited

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  • 2025Evolution of accessibility to work for low-income populations in Brazil: Towards equitable and sustainable metropolises?

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9 cited
  • 2025Identifying slum areas: A multidimensional analysis leveraging with explanatory machine learning techniques5 cited
  • 2026Geospatial micro-estimates of slum populations in 129 Global South countries using machine learning and public data3 cited
  • 2025Informing the Informal: Examining the Morphological Production of Informal Built Landscape Types2 cited