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== Abstract == | == Abstract == | ||
| − | 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. | + | 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. |
Document type: Book | Document type: Book | ||
== Full document == | == Full document == | ||
| − | <pdf>Media: | + | <pdf>Media:Antos_et_al_2016a-beopen619-9241-document.pdf</pdf> |
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* [http://documents.worldbank.org/curated/en/502451481312733719/pdf/WPS7911.pdf http://documents.worldbank.org/curated/en/502451481312733719/pdf/WPS7911.pdf] | * [http://documents.worldbank.org/curated/en/502451481312733719/pdf/WPS7911.pdf http://documents.worldbank.org/curated/en/502451481312733719/pdf/WPS7911.pdf] | ||
| + | |||
| + | * [http://dx.doi.org/10.1596/1813-9450-7911 http://dx.doi.org/10.1596/1813-9450-7911] | ||
| + | |||
| + | * [http://hdl.handle.net/10986/25810 http://hdl.handle.net/10986/25810] under the license http://creativecommons.org/licenses/by/3.0/igo | ||
| + | |||
| + | * [https://documents.worldbank.org/curated/pt/502451481312733719/The-morphology-of-African-cities https://documents.worldbank.org/curated/pt/502451481312733719/The-morphology-of-African-cities], | ||
| + | : [https://openknowledge.worldbank.org/handle/10986/25810 https://openknowledge.worldbank.org/handle/10986/25810], | ||
| + | : [https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2883394 https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2883394], | ||
| + | : [https://documents.vsemirnyjbank.org/curated/ru/502451481312733719/The-morphology-of-African-cities https://documents.vsemirnyjbank.org/curated/ru/502451481312733719/The-morphology-of-African-cities], | ||
| + | : [https://elibrary.worldbank.org/doi/book/10.1596/1813-9450-7911 https://elibrary.worldbank.org/doi/book/10.1596/1813-9450-7911], | ||
| + | : [https://documents.shihang.org/curated/zh/502451481312733719/The-morphology-of-African-cities https://documents.shihang.org/curated/zh/502451481312733719/The-morphology-of-African-cities], | ||
| + | : [https://www.scipedia.com/public/Antos_et_al_2016a https://www.scipedia.com/public/Antos_et_al_2016a], | ||
| + | : [https://www.ssrn.com/abstract=2883394 https://www.ssrn.com/abstract=2883394], | ||
| + | : [https://ideas.repec.org/p/wbk/wbrwps/7911.html https://ideas.repec.org/p/wbk/wbrwps/7911.html], | ||
| + | : [https://EconPapers.repec.org/RePEc:wbk:wbrwps:7911 https://EconPapers.repec.org/RePEc:wbk:wbrwps:7911], | ||
| + | : [https://academic.microsoft.com/#/detail/2568773962 https://academic.microsoft.com/#/detail/2568773962] | ||
Latest revision as of 15:00, 21 January 2021
Abstract
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.
Document type: Book
Full document
Original document
The different versions of the original document can be found in:
- https://openknowledge.worldbank.org/handle/10986/25810,
- https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2883394,
- https://documents.vsemirnyjbank.org/curated/ru/502451481312733719/The-morphology-of-African-cities,
- https://elibrary.worldbank.org/doi/book/10.1596/1813-9450-7911,
- https://documents.shihang.org/curated/zh/502451481312733719/The-morphology-of-African-cities,
- https://www.scipedia.com/public/Antos_et_al_2016a,
- https://www.ssrn.com/abstract=2883394,
- https://ideas.repec.org/p/wbk/wbrwps/7911.html,
- https://EconPapers.repec.org/RePEc:wbk:wbrwps:7911,
- https://academic.microsoft.com/#/detail/2568773962
Document information
Published on 01/01/2016
Volume 2016, 2016
DOI: 10.1596/1813-9450-7911
Licence: CC BY-NC-SA license
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