West Africa Coastal Vulnerability Mapping

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GPWv4 Population Density Preliminary Release, v1 (2010)

Purpose:
To provide areas in the coastal zone of West Africa that may be particularly exposed to climate stressors owing to high population density.
Abstract:
The West Africa Coastal Vulnerability Mapping: GPW Version 4 Population Density, Preliminary Release 1, 2010, represents the number of persons per square kilometer, and was calculated by dividing an unreleased working version of the Gridded Population of the World (GPW), Version 4, year 2010 population count raster for the West Africa region by a land area raster and cropping the result to within 200 kilometers of the coast. GPW provides globally consistent and spatially explicit human population information and data for use in research, policy making, and communications. This is a gridded (raster) data product that renders global population data at the scale and extent required to demonstrate the spatial relationship of human populations and the environment across the globe. The gridded data set is constructed from national or subnational input units (usually administrative units) of varying resolutions. The native grid cell resolution of GPWv4 is 30 arc-second, or ~1 km at the equator.
Recommended Citation(s)*:

Center for International Earth Science Information Network - CIESIN - Columbia University. 2018. West Africa Coastal Vulnerability Mapping: GPW Version 4 Population Density, Preliminary Release 1, 2010. Palisades, New York: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4J10131. Accessed DAY MONTH YEAR.

ENW (EndNote & RefWorks)†
RIS (Others)

Doxsey-Whitfield, E., K. MacManus, S. B. Adamo, L. Pistolesi, J. Squires, O. Borkovska and S. R. Baptista. 2015. Taking Advantage of the Improved Availability of Census Data: A First Look at the Gridded Population of the World, Version 4. Papers in Applied Geography 1(3): 226-235. https://doi.org/10.1080/23754931.2015.1014272.

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.

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Available Formats:
raster