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West Africa Coastal Vulnerability Mapping

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  • Collection Overview
  • Data Sets (16)
    • Population Projections, v1 (2030, 2050)
    • Commercial Crop Production, v1 (2000)
    • Deforestation, v1 (2000 – 2012)
    • Demographic and Health Survey Data Sets, v1 (1998 – 2013)
    • Economic Systems Index, v1 (2000, 2010)
    • GPWv4 Population Density Preliminary Release, v1 (2010)
    • GPWv4 Population Growth Preliminary Release, v1 (2000 – 2010)
    • Gridded Subset of Sub-national Poverty and Extreme Poverty Prevalence, v1 (2005)
    • Mangrove Forests Distribution Polygon, v1 (2000)
    • Point and Gridded Locations of Fatalities, v1 (2008 – 2013)
    • Social Vulnerability Indices, v1 (1997, 2005, 2008, 2010, 2013)
    • Subset of DMSP-OLS Nighttime Lights for Economic Activity, v1 (2010)
    • Subset of Global Mammal and Amphibian Richness Grids, 2015 Release (2013)
    • Subset of High and Low Resolution Altimeter Corrected Elevations 2 (ACE2), v1 (1994 – 2005)
    • Subset of JRC Map of Accessibility, v1 (1987 – 2008)
    • Subset of OpenStreetMap Roads, v1 (2014)

Population Projections, v1 (2030, 2050)

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Purpose:
To provide areas in West Africa that may be particularly exposed to climate stressors owing to future high population growth.
Abstract:
The West Africa Coastal Vulnerability Mapping: Population Projections, 2030 and 2050 data set is based on an unreleased working version of the Gridded Population of the World (GPW), Version 4, year 2010 population count raster but at a coarser 5 arc-minute resolution. Bryan Jones of Baruch College produced country-level projections based on the Shared Socioeconomic Pathway 4 (SSP4). SSP4 reflects a divided world where cities that have relatively high standards of living, are attractive to internal and international migrants. In low income countries, rapidly growing rural populations live on shrinking areas of arable land due to both high population pressure and expansion of large-scale mechanized farming by international agricultural firms. This pressure induces large migration flow to the cities, contributing to fast urbanization, although urban areas do not provide many opportunities for the poor and there is a massive expansion of slums and squatter settlements. This scenario may not be the most likely for the West Africa region, but it has internal coherence and is at least plausible.
Recommended Citation(s)*:

Jones, B. 2018. West Africa Coastal Vulnerability Mapping: Population Projections, 2030 and 2050. Palisades, New York: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H48K7719. Accessed DAY MONTH YEAR.

ENW (EndNote & RefWorks)†
RIS (Others)

* When authors make use of data they should cite both the data set and the scientific publication, if available. Such a practice gives credit to data set producers and advances principles of transparency and reproducibility. Please visit the data citations page for details. Users who would like to choose to format the citation(s) for this dataset using a myriad of alternate styles can copy the DOI number and paste it into Crosscite's website.

† For EndNote users, please check the Research Note field for issues with importing authors that are organizations when using the ENW file format.

Available Formats:
raster

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