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The Unseen Population: Underestimation of Slum Dwellers in Cities of the Global South · Study

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PreprintThe Unseen Population: Underestimation of Slum Dwellers in Cities of the Global South

Julius H.P. Breuer2022

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Preprintgreen2022

The Unseen Population: Underestimation of Slum Dwellers in Cities of the Global South

Julius H.P. Breuer · Hannes Taubenböck · Michael Wurm · Peter F. Pelz

5 citations·0/0 files stored·SSRN Electronic Journal

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Urban and Rural Development Challenges Census and Population Estimation Impact of Light on Environment and Health

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References

2022Transforming our world: the 2030 Agenda for Sustainable Development 2006Informal settlements: A perpetual challenge?2016The study of slums as social and physical constructs: challenges and emerging research opportunities 2018The morphology of the Arrival City - A global categorization based on literature surveys and remotely sensed data 2017Are we underestimating urban poverty?2009The 2005 census and mapping of slums in Bangladesh: design, select results and application 2010Circular migration patterns and determinants in Nairobi slum settlements 2017Detecting social groups from space – Assessment of remote sensing-based mapped morphological slums using income data

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2023Spatiotemporal dynamics of slum populations in Caracas, Venezuela

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Papers that cite the same references — the relational fallback while embeddings are still backfilling.

2024The unseen population: Do we underestimate slum dwellers in cities of the Global South?article · 15 shared references 2020The Role of Earth Observation in an Integrated Deprived Area Mapping “System” for Low-to-Middle Income Countriesarticle · 7 shared references 2023Methods to assess spatio-temporal changes of slum populationsarticle · 7 shared references 2020Need for an Integrated Deprived Area “Slum” Mapping System (IDEAMAPS) in Low- and Middle-Income Countries (LMICs)article · 5 shared references 2020Slums, Space, and State of Health—A Link between Settlement Morphology and Health Dataarticle · 5 shared references 2018Detecting and mapping slums using open data: a case study in Kenyaarticle · 5 shared references

Details

Year2022

Typepreprint

Published2022-01-01

VenueSSRN Electronic Journal

ISSN-L1556-5068

Languageen

Citations5

Files0 public / 0

ShelfUrban and Rural Development Challenges

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doi10.2139/ssrn.4098362

openalex_workW4285209394

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