High resolution population maps for low income nations: combining land cover and census in East Africa.

<h4>Background</h4>Between 2005 and 2050, the human population is forecast to grow by 2.7 billion, with the vast majority of this growth occurring in low income countries. This growth is likely to have significant social, economic and environmental impacts, and make the achievement of in...

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Autores principales:	Andrew J Tatem, Abdisalan M Noor, Craig von Hagen, Antonio Di Gregorio, Simon I Hay
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2007
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/496413b20b71458dac0787275cd1a035
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spelling	oai:doaj.org-article:496413b20b71458dac0787275cd1a0352021-12-02T20:12:25ZHigh resolution population maps for low income nations: combining land cover and census in East Africa.1932-620310.1371/journal.pone.0001298https://doaj.org/article/496413b20b71458dac0787275cd1a0352007-12-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0001298https://doaj.org/toc/1932-6203<h4>Background</h4>Between 2005 and 2050, the human population is forecast to grow by 2.7 billion, with the vast majority of this growth occurring in low income countries. This growth is likely to have significant social, economic and environmental impacts, and make the achievement of international development goals more difficult. The measurement, monitoring and potential mitigation of these impacts require high resolution, contemporary data on human population distributions. In low income countries, however, where the changes will be concentrated, the least information on the distribution of population exists. In this paper we investigate whether satellite imagery in combination with land cover information and census data can be used to create inexpensive, high resolution and easily-updatable settlement and population distribution maps over large areas.<h4>Methodology/principal findings</h4>We examine various approaches for the production of maps of the East African region (Kenya, Uganda, Burundi, Rwanda and Tanzania) and where fine resolution census data exists, test the accuracies of map production approaches and existing population distribution products. The results show that combining high resolution census, settlement and land cover information is important in producing accurate population distribution maps.<h4>Conclusions</h4>We find that this semi-automated population distribution mapping at unprecedented spatial resolution produces more accurate results than existing products and can be undertaken for as little as $0.01 per km(2). The resulting population maps are a product of the Malaria Atlas Project (MAP: http://www.map.ox.ac.uk) and are freely available.Andrew J TatemAbdisalan M NoorCraig von HagenAntonio Di GregorioSimon I HayPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 2, Iss 12, p e1298 (2007)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Andrew J Tatem Abdisalan M Noor Craig von Hagen Antonio Di Gregorio Simon I Hay High resolution population maps for low income nations: combining land cover and census in East Africa.
description	<h4>Background</h4>Between 2005 and 2050, the human population is forecast to grow by 2.7 billion, with the vast majority of this growth occurring in low income countries. This growth is likely to have significant social, economic and environmental impacts, and make the achievement of international development goals more difficult. The measurement, monitoring and potential mitigation of these impacts require high resolution, contemporary data on human population distributions. In low income countries, however, where the changes will be concentrated, the least information on the distribution of population exists. In this paper we investigate whether satellite imagery in combination with land cover information and census data can be used to create inexpensive, high resolution and easily-updatable settlement and population distribution maps over large areas.<h4>Methodology/principal findings</h4>We examine various approaches for the production of maps of the East African region (Kenya, Uganda, Burundi, Rwanda and Tanzania) and where fine resolution census data exists, test the accuracies of map production approaches and existing population distribution products. The results show that combining high resolution census, settlement and land cover information is important in producing accurate population distribution maps.<h4>Conclusions</h4>We find that this semi-automated population distribution mapping at unprecedented spatial resolution produces more accurate results than existing products and can be undertaken for as little as $0.01 per km(2). The resulting population maps are a product of the Malaria Atlas Project (MAP: http://www.map.ox.ac.uk) and are freely available.
format	article
author	Andrew J Tatem Abdisalan M Noor Craig von Hagen Antonio Di Gregorio Simon I Hay
author_facet	Andrew J Tatem Abdisalan M Noor Craig von Hagen Antonio Di Gregorio Simon I Hay
author_sort	Andrew J Tatem
title	High resolution population maps for low income nations: combining land cover and census in East Africa.
title_short	High resolution population maps for low income nations: combining land cover and census in East Africa.
title_full	High resolution population maps for low income nations: combining land cover and census in East Africa.
title_fullStr	High resolution population maps for low income nations: combining land cover and census in East Africa.
title_full_unstemmed	High resolution population maps for low income nations: combining land cover and census in East Africa.
title_sort	high resolution population maps for low income nations: combining land cover and census in east africa.
publisher	Public Library of Science (PLoS)
publishDate	2007
url	https://doaj.org/article/496413b20b71458dac0787275cd1a035
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High resolution population maps for low income nations: combining land cover and census in East Africa.

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