The AfriPop Project

AfriPop
AbbreviationAfriPop
Merged intoWorldPop Project in October 2013.
Formation2009-07-01
TypeInternational Organization
PurposeProducing detailed and freely-available population distribution maps for the whole of Africa.
HeadquartersGainesville, Florida
Location
  • United States
Region served
Global
Official language
English
Coordinator
Dr. Andrew J Tatem
AffiliationsEmerging Pathogens Institute, University of Florida

The AfriPop Project was a non-profit project primarily funded by the Fondation Philippe Wiener - Maurice Anspach Foundation that was merged in the WorldPop Project in October 2013. AfriPop was a collaboration between the University of Florida, United States, the Université libre de Bruxelles, Belgium and the Malaria Public Health & Epidemiology Group, Centre for Geographic Medicine, Kenya.[1] The project was led by Dr. Andrew Tatem and Dr. Catherine Linard.

The AfriPop alpha version population distribution dataset.

High resolution, contemporary data on human population distributions are a prerequisite for the accurate measurement of the impacts of population growth, for monitoring changes and for planning interventions. The AfriPop project was initiated in July 2009 with an aim of producing detailed and freely-available population distribution maps for the whole of sub-Saharan Africa.

The AfriPop team assembled a unique spatial database of linked information on contemporary census data across Africa, satellite-imagery derived settlement maps and land cover information. Novel approaches to extracting detailed spatial data on settlements from satellite imagery [2] were combined with contemporary detailed census data and land cover to map population densities across sub-Saharan Africa at unprecedented levels of detail.[3][4]

See also

Africa, World Population, Malaria Atlas Project

References

  1. ^ Deleu, Julie; Franke, Jonas; Gebreslasie, Michael; Linard, Catherine (2015-11-04). "Improving AfriPop dataset with settlement extents extracted from RapidEye for the border region comprising South-Africa, Swaziland and Mozambique". Geospatial Health. 10 (2): 336. doi:10.4081/gh.2015.336. hdl:2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/226757. ISSN 1970-7096. PMID 26618311.
  2. ^ Tatem AJ, Noor AM, Hay SI (2004). "Defining approaches to settlement mapping for public health management in Kenya using medium spatial resolution satellite imagery". Remote Sensing of Environment. 93 (1–2): 42–52. Bibcode:2004RSEnv..93...42T. doi:10.1016/j.rse.2004.06.014. PMC 3350067. PMID 22581984.
  3. ^ Linard C, Alegana, VA, Noor AM, Snow RW, Tatem AJ (2010). "A high resolution spatial population database of Somalia for disease risk mapping". International Journal of Health Geographics. 9: 45. doi:10.1186/1476-072x-9-45. PMC 2949749. PMID 20840751.{{cite journal}}: CS1 maint: multiple names: authors list (link)
  4. ^ Tatem AJ, Noor AM, von Hagen C, Di Gregorio A, Hay SI (2007). "High resolution settlement and population maps for low income nations: combining land cover and national census in East Africa". PLOS ONE. 2 (12) e1298. CiteSeerX 10.1.1.280.5731. doi:10.1371/journal.pone.0001298. PMC 2110897. PMID 18074022. Open access icon

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