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Population Distribution, Settlement Patterns and Accessibility across Africa in 2010
Open accessAbstract
The spatial distribution of populations and settlements across a country and their interconnectivity and accessibility from urban areas are important for delivering healthcare, distributing resources and economic development. However, existing spatially explicit population data across Africa are generally based on outdated, low resolution input demographic data, and provide insufficient detail to quantify rural settlement patterns and, thus, accurately measure population concentration and accessibility. Here we outline approaches to developing a new high resolution population distribution dataset for Africa and analyse rural accessibility to population centers. Contemporary population count data were combined with detailed satellite-derived settlement extents to map population distributions across Africa at a finer spatial resolution than ever before. Substantial heterogeneity in settlement patterns, population concentration and spatial accessibility to major population centres is exhibited across the continent. In Africa, 90% of the population is concentrated in less than 21% of the land surface and the average per-person travel time to settlements of more than 50,000 inhabitants is around 3.5 hours, with Central and East Africa displaying the longest average travel times. The analyses highlight large inequities in access, the isolation of many rural populations and the challenges that exist between countries and regions in providing access to services. The datasets presented are freely available as part of the AfriPop project, providing an evidence base for guiding strategic decisions.
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Research works printed but not linked: 24
- G Porter, 2002, Living in a walking world: rural mobility and social equity issues in Sub-Saharan Africa., World Dev, 30, 285, 10.1016/S0305-750X(01)00106-1 · DOI · Paper page
- M Guagliardo, 2004, Spatial accessibility of primary care: concepts, methods and challenges., Int J Health Geogr, 3, 3, 10.1186/1476-072X-3-3 · DOI · Paper page
- AJ Tatem, 2011, The effects of spatial population dataset choice on population at risk of disease estimates., Popul Health Metr, 9, 10.1186/1478-7954-9-4 · DOI
- N Yoshida, 2009, Measurement of Accessibility and Its Applications., Journal of Infrastructure Development, 1, 1, 10.1177/097493060900100102 · DOI
- DL Balk, 2006, Determining global population distribution: methods, applications and data., Adv Parasitol, 62, 119, 10.1016/S0065-308X(05)62004-0 · DOI · Paper page
- JE Dobson, 2000, LandScan: a global population database for estimating populations at risk., Photogramm Eng Remote Sensing, 66, 849
- U Deichmann, 1996, A review of spatial population database design and modeling
- SI Hay, 2005, The accuracy of human population maps for public health application., Trop Med Int Health, 10, 1073, 10.1111/j.1365-3156.2005.01487.x · DOI
- AJ Tatem, 2007, High resolution population maps for low income nations: combining land cover and census in East Africa., PLoS One, 2, e1298, 10.1371/journal.pone.0001298 · DOI · Paper page
- C Linard, 2010, A high resolution spatial population database of Somalia for disease risk mapping., Int J Health Geogr, 9, 45, 10.1186/1476-072X-9-45 · DOI
- C Linard, 2010, Assessing the use of global land cover data for guiding large area population distribution modelling., GeoJournal, 76, 525, 10.1007/s10708-010-9364-8 · DOI
- A Baddeley, 2005, spatstat: An R Package for Analyzing Spatial Point Patterns., J Stat Softw, 12, 10.18637/jss.v012.i06 · DOI · Paper page
- PJ Clark, 1954, Distance to Nearest Neighbor as a Measure of Spatial Relationships in Populations., Ecology, 35, 445, 10.2307/1931034 · DOI · Paper page
- A Farrow, 2005, Exploring the spatial variation of food poverty in Ecuador., Food Policy, 30, 510, 10.1016/j.foodpol.2005.09.005 · doi:10.1016/j.foodpol.2005.09.005
- MP Kwan, 1998, Space-time and integral measures of individual accessibility: a comparative analysis using a point-based framework., Geogr Anal, 30, 191, 10.1111/j.1538-4632.1998.tb00396.x · DOI · Paper page
- S Gabrysch, 2011, The Influence of Distance and Level of Care on Delivery Place in Rural Zambia: A Study of Linked National Data in a Geographic Information System., PLoS Med, 8, e1000394, 10.1371/journal.pmed.1000394 · DOI · Paper page
- MV Kinney, 2010, Sub-Saharan Africa's Mothers, Newborns, and Children: Where and Why Do They Die?, PLoS Med, 7, e1000294, 10.1371/journal.pmed.1000294 · DOI · Paper page
- D Balk, 2004, A spatial analysis of childhood mortality in West Africa., Int J Popul Geogr, 10, 175
- P Kristjanson, 2005, Livelihood mapping and poverty correlates at a meso-level in Kenya., Food Policy, 30, 568, 10.1016/j.foodpol.2005.10.002 · DOI
- DP Wilson, 2007, How far will we need to go to reach HIV-infected people in rural South Africa?, BMC Med, 5, 16, 10.1186/1741-7015-5-16 · doi:10.1186/1741-7015-5-16
- DE Bloom, 2008, Urbanization and the Wealth of Nations., Science, 319, 772, 10.1126/science.1153057 · DOI · Paper page
- CJ Mba, 2003, Assessing the reliability of the 1986 and 1996 Lesotho census data., J Soc Dev Afr, 18, 111
- CJ Mba, 2004, Challenges of population census enumeration in Africa: an illustration with the age-sex data of the Gambia., Institute of African Studies: Research Review, 20, 9
- J Elith, 2006, Novel methods improve prediction of species' distributions from occurrence data., Ecography, 29, 129, 10.1111/j.2006.0906-7590.04596.x · DOI · Paper page
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Metadata
- Authors
- Linard, C., Gilbert, M., Snow, R. W., Noor, A. M., & Tatem, A. J.
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2012-02-21
- Volume
- 7
- Issue
- 2
- Pages
- e31743
- ISSN
- 1932-6203 (ISSN-L)
- OpenAlex
- W2052458288
- Cited by
- 600
- References
- 0
- FWCI
- 32.85
- Type
- journal article
- Language
- en
- Open access
- gold
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- Linard, C., Gilbert, M., Snow, R. W., Noor, A. M., & Tatem, A. J. (2012). Population Distribution, Settlement Patterns and Accessibility across Africa in 2010. PLoS ONE. https://doi.org/10.1371/journal.pone.0031743
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