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Global Rural-Urban Mapping Project (GRUMP), v1

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  • Collection Overview
  • Methods
  • Data Sets (10)
    • Coastlines, v1 (2000)
    • Land and Geographic Unit Area Grids, v1 (2000)
    • National Administrative Boundaries, v1 (2000)
    • National Identifier Grid, v1 (1995, 2000, 2010)
    • Population Count Grid, v1 (1990, 1995, 2000)
    • Population Density Grid, v1 (1990, 1995, 2000)
    • Settlement Points, v1.01 (1990, 1995, 2000)
    • Settlement Points, v1 (1990, 1995, 2000)
    • Urban Extent Polygons, v1.02 (1995)
    • Urban Extents Grid, v1 (1995)
  • Map Gallery (716)
  • Map Services (10)
  • Citations
  • FAQs
  • GPW and GRUMP
  • Acknowledgments
  • SEDAC Hazards Mapper

Coastlines, v1 (2000)

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  • Metadata
Purpose:
To permit cartographic display of coastlines that exactly match the GRUMPv1 population surfaces.
Abstract:
The Global Rural-Urban Mapping Project, Version 1 (GRUMPv1): Coastlines data are derived from the land area grids to show the outlines of pixels (cells) that contain administrative units in GRUMPv1 that fall along waterbodies. The coastlines are designed for cartographic use with the GRUMPv1 population raster data sets. This data set is produced by the Columbia University Center for International Earth Science Information Network (CIESIN) in collaboration with the International Food Policy Research Institute (IFPRI), The World Bank, and Centro Internacional de Agricultura Tropical (CIAT).
Recommended Citation(s)*:

Center for International Earth Science Information Network - CIESIN - Columbia University, International Food Policy Research Institute - IFPRI, The World Bank, and Centro Internacional de Agricultura Tropical - CIAT. 2011. Global Rural-Urban Mapping Project, Version 1 (GRUMPv1): Coastlines. Palisades, New York: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4CR5R8J. Accessed DAY MONTH YEAR.

ENW (EndNote & RefWorks)†
RIS (Others)

Balk, D.L., U. Deichmann, G. Yetman, F. Pozzi, S. I. Hay, and A. Nelson. 2006. Determining Global Population Distribution: Methods, Applications and Data. Advances in Parasitology 62:119-156. https://doi.org/10.1016/S0065-308X(05)62004-0.

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.

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