Dataset Identification:
Resource Abstract:
- description: The Global Rural-Urban Mapping Project (GRUMP), Alpha Version consists of estimates of human population for the
years 1990, 1995, and 2000 by 30 arc-second (1km) grid cells and associated datasets dated circa 2000. The data products include
population count grids (raw counts), population density grids (per square km), land area grids (actual area net of ice and
water), mean geographic unit area grids, urban extents grids, centroids, a national identifier grid, national boundaries,
coastlines, and settlement points. These products vary in GIS-compatible data formats and geographic extents (global, continent
[Antarctica not included], and country levels). A proportional allocation gridding algorithm, utilizing more than 1,000,000
national and sub-national geographic units, is used to assign population values to grid cells. Additional global grids are
created from the 30 arc-second grid at 1/4, 1/2, and 1 degree resolutions. The Spatial Reference metadata section information
applies only to global extent, 30 arc-second resolution. This dataset 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). (Suggested Usage: To allow analysis of urban and
rural population figures based on a consistent global dataset.); abstract: The Global Rural-Urban Mapping Project (GRUMP),
Alpha Version consists of estimates of human population for the years 1990, 1995, and 2000 by 30 arc-second (1km) grid cells
and associated datasets dated circa 2000. The data products include population count grids (raw counts), population density
grids (per square km), land area grids (actual area net of ice and water), mean geographic unit area grids, urban extents
grids, centroids, a national identifier grid, national boundaries, coastlines, and settlement points. These products vary
in GIS-compatible data formats and geographic extents (global, continent [Antarctica not included], and country levels). A
proportional allocation gridding algorithm, utilizing more than 1,000,000 national and sub-national geographic units, is used
to assign population values to grid cells. Additional global grids are created from the 30 arc-second grid at 1/4, 1/2, and
1 degree resolutions. The Spatial Reference metadata section information applies only to global extent, 30 arc-second resolution.
This dataset 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). (Suggested Usage: To allow analysis of urban and rural population figures based on a consistent global dataset.)
Citation
- Title Global Rural-Urban Mapping Project (GRUMP), Alpha Version.
-
- creation Date
2018-07-01T08:00:23.377880
Resource language:
Processing environment:
Back to top:
Digital Transfer Options
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- Linkage for online resource
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- name Dublin Core references URL
- URL: http://sedac.ciesin.columbia.edu/gpw/global.jsp
- protocol WWW:LINK-1.0-http--link
- link function information
- Description URL provided in Dublin Core references element.
Metadata data stamp:
2018-08-06T23:12:45Z
Resource Maintenance Information
- maintenance or update frequency:
- notes: This metadata record was generated by an xslt transformation from a dc metadata record; Transform by Stephen M. Richard, based
on a transform by Damian Ulbricht. Run on 2018-08-06T23:12:45Z
Metadata contact
-
pointOfContact
- organisation Name
CINERGI Metadata catalog
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- Contact information
-
-
- Address
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- electronic Mail Address cinergi@sdsc.edu
Metadata language
eng
Metadata character set encoding:
utf8
Metadata standard for this record:
ISO 19139 Geographic Information - Metadata - Implementation Specification
standard version:
2007
Metadata record identifier:
urn:dciso:metadataabout:809b3b31-fa4f-4a02-a528-d605ca633ea3
Metadata record format is ISO19139 XML (MD_Metadata)