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Making Urban Slum P...
Making Urban Slum Population Visible : Citizens and Satellites to Reinforce Slum Censuses
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- Abascal, Angela (författare)
- University of Navarra, Spain; University of Twente, Netherlands
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- Georganos, Stefanos (författare)
- Karlstads universitet,Institutionen för miljö- och livsvetenskaper (from 2013)
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- Kuffer, Monika (författare)
- University of Twente, Netherlands
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- Vanhuysse, Sabine (författare)
- Université libre de Bruxelles (ULB), Belgium
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- Thomson, Dana (författare)
- University of Twente, Netherlands
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- Wang, Jon (författare)
- University of Twente, Netherlands
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- Manyasi, Lawrence (författare)
- Community Researcher Non-affiliated, Nairobi, Kenya
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- Otunga, Daniel Manyasi (författare)
- Community Researcher Single Mother Association of Kenya, Nairobi, Kenya
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- Ochieng, Brighton (författare)
- Community Researcher Non-affiliated, Nairobi, Kenya
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- Ochieng, Treva (författare)
- Community Researcher Non-affiliated, Nairobi, Kenya
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- Klinnert, Jorge (författare)
- University of Maryland, USA
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- Wolff, Eléonore (författare)
- Université libre de Bruxelles (ULB), Belgium
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(creator_code:org_t)
- Springer, 2024
- 2024
- Engelska.
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Ingår i: Urban Inequalities from Space. - : Springer. - 9783031491856 - 9783031491832 ; , s. 287-302
- Relaterad länk:
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https://doi.org/10.1...
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- In response to the “Leave No One Behind” principle (the central promise of the 2030 Agenda for Sustainable Development), reliable estimate of the total number of citizens living in slums is urgently needed but not available for some of the most vulnerable communities. Not having a reliable estimate of the number of poor urban dwellers limits evidence-based decision-making for proper resource allocation in the fight against urban inequalities. From a geographical perspective, urban population distribution maps in many low- and middle-income cities are most often derived from outdated or unreliable census data disaggregated by coarse administrative units. Moreover, slum populations are presented as aggregated within bigger administrative areas, leading to a large diffuse in the estimates. Existing global and open population databases provide homogeneously disaggregated information (i.e. in a spatial grid), but they mostly rely on census data to generate their estimates, so they do not provide additional information on the slum population. While a few studies have focused on bottom-up geospatial models for slum population mapping using survey data, geospatial covariates, and earth observation imagery, there is still a significant gap in methodological approaches for producing precise estimates within slums. To address this issue, we designed a pilot experiment to explore new avenues. We conducted this study in the slums of Nairobi, where we collected in situ data together with slum dwellers using a novel data collection protocol. Our results show that the combination of satellite imagery with in situ data collected by citizen science paves the way for generalisable, gridded estimates of slum populations. Furthermore, we find that the urban physiognomy of slums and population distribution patterns are related, which allows for highlighting the diversity of such patterns using earth observation within and between slums of the same city.
Ämnesord
- NATURVETENSKAP -- Biologi -- Ekologi (hsv//swe)
- NATURAL SCIENCES -- Biological Sciences -- Ecology (hsv//eng)
- MEDICIN OCH HÄLSOVETENSKAP -- Hälsovetenskap -- Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Health Sciences -- Public Health, Global Health, Social Medicine and Epidemiology (hsv//eng)
Nyckelord
- Census
- Citizen science
- Data collection
- Earth observation
- Machine learning
- Slums
- Urban population
- Geomatik
- Geomatics
Publikations- och innehållstyp
- ref (ämneskategori)
- kap (ämneskategori)
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Till lärosätets databas
- Av författaren/redakt...
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Abascal, Angela
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Georganos, Stefa ...
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Kuffer, Monika
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Vanhuysse, Sabin ...
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Thomson, Dana
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Wang, Jon
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visa fler...
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Manyasi, Lawrenc ...
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Otunga, Daniel M ...
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Ochieng, Brighto ...
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Ochieng, Treva
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Klinnert, Jorge
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Wolff, Eléonore
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visa färre...
- Om ämnet
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- NATURVETENSKAP
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NATURVETENSKAP
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och Biologi
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och Ekologi
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- MEDICIN OCH HÄLSOVETENSKAP
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MEDICIN OCH HÄLS ...
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och Hälsovetenskap
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och Folkhälsovetensk ...
- Artiklar i publikationen
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Urban Inequaliti ...
- Av lärosätet
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Karlstads universitet