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West Africa Coastal Vulnerability Mapping

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  • Collection Overview
  • Data Sets (16)
    • Subset of JRC Map of Accessibility, v1 (1987 – 2008)
    • 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)
    • Population Projections, v1 (2030, 2050)
    • 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 OpenStreetMap Roads, v1 (2014)

Subset of JRC Map of Accessibility, v1 (1987 – 2008)

  • Set Overview
  • Data Download
  • Documentation
  • Metadata
Purpose:
To provide market accessibility in the coastal zone of West Africa.
Abstract:
The West Africa Coastal Vulnerability Mapping: Subset of JRC Map of Accessibility data set is a 30 arc-second raster of travel time to major cities in West Africa within 200 kilometers of the coast. Extensive literature shows that road networks and market accessibility play an important role in development and access to health care and other social services. Greater spatial isolation is assumed to produce higher vulnerability to climate stressors. Market accessibility is defined as the travel time to a location of interest using land (road/off road) or water (navigable river, lake, and ocean) based travel. A team at the Joint Research Centre (JRC) in Ispra, Italy, created a global raster of accessibility using a cost-distance algorithm which computes the "cost" (in units of time) of traveling between two locations on a regular raster grid. The raster grid cells contain values which represent the cost required to travel across them, hence this raster grid is often termed a friction-surface. The friction-surface contains information on the transport network, and environmental and political factors that affect travel times between locations. Transport networks can include road and rail networks, navigable rivers, and shipping lanes. The locations of interest are termed targets, and in the case of this data set, the targets are cities with a population of 50,000 or greater in the year 2000.
Recommended Citation(s)*:

Nelson, A. 2018. West Africa Coastal Vulnerability Mapping: Subset of JRC Map of Accessibility. Palisades, New York: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4W95738. 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:
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