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Part 1: Document Description
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Citation |
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Title: |
Urban Extent of Africa 2010 |
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Identification Number: |
doi:10.7910/DVN/RUNZJD |
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Distributor: |
Harvard Dataverse |
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Date of Distribution: |
2015-10-16 |
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Version: |
1 |
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Bibliographic Citation: |
HarvestChoice, International Food Policy Research Institute (IFPRI), 2015, "Urban Extent of Africa 2010", https://doi.org/10.7910/DVN/RUNZJD, Harvard Dataverse, V1 |
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Citation |
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Title: |
Urban Extent of Africa 2010 |
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Identification Number: |
doi:10.7910/DVN/RUNZJD |
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Authoring Entity: |
HarvestChoice, International Food Policy Research Institute (IFPRI) |
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Other identifications and acknowledgements: |
Guo, Zhe |
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Other identifications and acknowledgements: |
Koo, Jawoo |
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Other identifications and acknowledgements: |
USAID Bureau for Food Security (BFS) |
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Other identifications and acknowledgements: |
CGIAR Research Program on Policies, Institutions, and Markets (PIM) |
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Producer: |
HarvestChoice |
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International Food Policy Research Institute |
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Date of Production: |
2015-09-30 |
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Distributor: |
Harvard Dataverse |
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Distributor: |
International Food Policy Research Institute |
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Distributor: |
HarvestChoice |
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Access Authority: |
Guo, Zhe |
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Depositor: |
Koo, Jawoo |
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Date of Deposit: |
2015-10-16 |
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Date of Distribution: |
2015-10-16 |
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Holdings Information: |
https://doi.org/10.7910/DVN/RUNZJD |
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Study Scope |
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Keywords: |
Computer and Information Science, Earth and Environmental Sciences, urban areas, rural areas, geographic information systems, population |
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Topic Classification: |
population |
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Abstract: |
Accurate delineation of the urban and rural areas has a broad range of implications on the quality and reliability of agricultural production and socio-economic statistics, design of household survey, establishment of agricultural development strategies and policies, and effective resource allocation. Two most widely-used urban/rural mapping dataset across Africa, GRUMP (Global Rural and Urban Mapping Project; http://sedac.ciesin.columbia.edu/data/collection/grump-v1) and SAGE Urban Extents (https://nelson.wisc.edu/sage/data-and-models/schneider.php), uses the underlying datasets of 2000-2002. There are various pilot studies attempting to update the dataset in major metropolitan areas or specific countries, but no African continent-wide effort has been made to date. To address this, using the GRUMP 2000 data as the baseline, we used a set of recently-published datasets to identify the newly extended urban areas across Africa. Three main data sources were the nightlights data from Defense Meteorological Satellite Program (DMSP) 2010-2013, WorldPop 2010, and the MODIS Global Land Cover 2010-2013. Country-level urban population headcounts and their share of total population were acquired from the World Bank for 2010-2013 and used to control the total size of the urban population from the analysis is consistent with the statistics data at 1 km resolution. |
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Time Period: |
2010-01-01-2010-12-31 |
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Kind of Data: |
geospatial data (raster, 30 arc-second) |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Notes: |
<a href="http://creativecommons.org/publicdomain/zero/1.0">CC0 1.0</a> |
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Other Study Description Materials |
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Label: |
UrbanExtentAfrica_2000-2010_v1.png |
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Text: |
Comparison between 2000 (baseline) and the updated urban extent of 2010 |
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Notes: |
image/png |
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Label: |
UrbanExtentAfrica_2000_v1.tif.zip |
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Text: |
Baseline urban extent of Africa in 2000, extracted from GRUMP v1 (http://sedac.ciesin.columbia.edu/data/collection/grump-v1) [1: rural, 2: urban] |
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Notes: |
application/zip |
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Label: |
UrbanExtentAfrica_2010_v1.tif.zip |
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Text: |
Updated urban extent for Africa in 2010 [null: rural, 1: urban] |
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Notes: |
application/zip |