The Morphology of African Cities

This paper illustrates how the capabilities of GIS and satellite imagery can be harnessed to explore and better understand the urban form of several large African cities (Addis Ababa, Nairobi, Kigali, Dar es Salaam, and Dakar). To allow for compara...

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Main Authors: Antos, Sarah E., Lall, Somik V., Lozano-Gracia, Nancy
Format: Working Paper
Language:English
en_US
Published: World Bank, Washington, DC 2017
Subjects:
Online Access:http://documents.worldbank.org/curated/en/502451481312733719/The-morphology-of-African-cities
http://hdl.handle.net/10986/25810
id okr-10986-25810
recordtype oai_dc
spelling okr-10986-258102021-06-08T14:42:46Z The Morphology of African Cities Antos, Sarah E. Lall, Somik V. Lozano-Gracia, Nancy urban development information systems urban land land market participatory planning governance satellite imagery geospatial modeling population distribution population density urban transport This paper illustrates how the capabilities of GIS and satellite imagery can be harnessed to explore and better understand the urban form of several large African cities (Addis Ababa, Nairobi, Kigali, Dar es Salaam, and Dakar). To allow for comparability across very diverse cities, this work looks at the above mentioned cities through the lens of several spatial indicators and relies heavily on data derived from satellite imagery. First, it focuses on understanding the distribution of population across the city, and more specifically how the variations in population density could be linked to transportation. Second, it takes a closer look at the land cover in each city using a semi-automated texture based land cover classification that identifies neighborhoods that appear more regular or irregularly planned. Lastly, for the higher resolution images, this work studies the changes in the land cover classes as one moves from the city core to the periphery. This work also explored the classification of slightly coarser resolution imagery which allowed analysis of a broader number of cities, sixteen, provided the lower cost. 2017-01-05T15:53:33Z 2017-01-05T15:53:33Z 2016-12 Working Paper http://documents.worldbank.org/curated/en/502451481312733719/The-morphology-of-African-cities http://hdl.handle.net/10986/25810 English en_US Policy Research Working Paper;No. 7911 CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo World Bank World Bank, Washington, DC Publications & Research Publications & Research :: Policy Research Working Paper Africa Sub-Saharan Africa Ethiopia Kenya Rwanda Senegal Tanzania
repository_type Digital Repository
institution_category Foreign Institution
institution Digital Repositories
building World Bank Open Knowledge Repository
collection World Bank
language English
en_US
topic urban development
information systems
urban land
land market
participatory planning
governance
satellite imagery
geospatial modeling
population distribution
population density
urban transport
spellingShingle urban development
information systems
urban land
land market
participatory planning
governance
satellite imagery
geospatial modeling
population distribution
population density
urban transport
Antos, Sarah E.
Lall, Somik V.
Lozano-Gracia, Nancy
The Morphology of African Cities
geographic_facet Africa
Sub-Saharan Africa
Ethiopia
Kenya
Rwanda
Senegal
Tanzania
relation Policy Research Working Paper;No. 7911
description This paper illustrates how the capabilities of GIS and satellite imagery can be harnessed to explore and better understand the urban form of several large African cities (Addis Ababa, Nairobi, Kigali, Dar es Salaam, and Dakar). To allow for comparability across very diverse cities, this work looks at the above mentioned cities through the lens of several spatial indicators and relies heavily on data derived from satellite imagery. First, it focuses on understanding the distribution of population across the city, and more specifically how the variations in population density could be linked to transportation. Second, it takes a closer look at the land cover in each city using a semi-automated texture based land cover classification that identifies neighborhoods that appear more regular or irregularly planned. Lastly, for the higher resolution images, this work studies the changes in the land cover classes as one moves from the city core to the periphery. This work also explored the classification of slightly coarser resolution imagery which allowed analysis of a broader number of cities, sixteen, provided the lower cost.
format Working Paper
author Antos, Sarah E.
Lall, Somik V.
Lozano-Gracia, Nancy
author_facet Antos, Sarah E.
Lall, Somik V.
Lozano-Gracia, Nancy
author_sort Antos, Sarah E.
title The Morphology of African Cities
title_short The Morphology of African Cities
title_full The Morphology of African Cities
title_fullStr The Morphology of African Cities
title_full_unstemmed The Morphology of African Cities
title_sort morphology of african cities
publisher World Bank, Washington, DC
publishDate 2017
url http://documents.worldbank.org/curated/en/502451481312733719/The-morphology-of-African-cities
http://hdl.handle.net/10986/25810
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