- To permit the summation of population values by country/territory and, in combination with other data layers, the summation of population values by irregular areas represented in the other data layers and country/territory.
- The Global Rural-Urban Mapping Project, Version 1 (GRUMPv1) consists of estimates of human population for the years 1990, 1995, and 2000 by 30 arc-second (1km) grid cells and associated data sets dated circa 2000. National Identifier Grid is derived from the land area grid to create a raster surface where pixels (cells) that cover the same nation or territory have the same value. Note that the countries and territories are not official representations of country boundaries; rather, they represent the area covered by the statistical data as provided. 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): National Identifier Grid. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). http://dx.doi.org/10.7927/H40K26HS. Accessed DAY MONTH YEAR.
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. DOI: 10.1016/S0065-308X(05)62004-0.
* When authors make use of data they should cite both the data set and the journal article of record, if available. Such a practice gives credit to data set producers and advances principles of transparency and reproducibility.
† 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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