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Subsequent to version 1, Uwe Deichmann made a number of regional improvements
to the underlying data set in collaboration with several other institutions. Revisions for
Africa were supported by the United Nations Environment Programme/Global
Resource Information Database (UNEP-GRID),
Sioux Falls and by the World Resources Institute (WRI);
and for Asia by UNEP-GRID,
Geneva, the Consultative Group on International Agricultural Research (CGIAR),
and NCGIA. For Latin America, a comprehensive database was assembled by the
Centro Internacional de Agricultura Tropical (CIAT).
Glenn Hyman of CIAT, Ashbindu Singh of UNEP-GRID, Sioux Falls, and Ron Witt
and Hy Dao at UNEP-GRID, Geneva were partners in these efforts. Some of these
databases differed in their approach from GPW in that they included access
to roads as a means to reallocate population; it is often referred to as an
accessibility model for population distribution. Around the same time, Oakridge
National Laboratory began developing a highly modeled population surface known
as LandScan.
GPW version 2 was produced in 1999-2000 by CIESIN in close collaboration with
Uwe Deichmann (presently at the World Bank) via a subcontract with the International
Food Policy Research Institute (IFPRI). Funding for GPW v2 was provided by
the NASA Socioeconomic Data
and Applications Center (SEDAC) under contract NAS5-98162 and by the World
Resources Institute (WRI). GPW version 2 incorporated the basic improvements
to the population inputs that occurred in the development of the regional
initiatives. GPW v2 nor prior databases included the 2000 rounds of censuses.
The 2000 round of censuses were formally included in GPW version 3, which was produced
by CIESIN in partnership with the Centro Internacional de Agricultura Tropical
(CIAT), from mid-2002 through mid-2004. Around the same time, beginning early
2001, CIESIN and colleagues at the International Food Policy Research Institute
(IFPRI), the World
Bank, and CIAT convened to pursue the possibility of constructing a global
database of urban and rural areas that could then be used, not only in an of
itself, but also to reallocate population. That effort led to the database
now known as the GRUMP suite of data products. Like the accessibility models
above, the population grid produced by GRUMP is lightly modeled using urban
areas rather than roads.
GPW v3 included a major update to the underlying
population and spatial data, and in its wake, additional updates
have been made,
for example,
to the Africa accessibility model. Similarly, in collaboration
with the Food and Agriculture Organization of the United Nations (FAO),
CIESIN and CIAT have constructed a gridded population projection
to 2015.
For full attribution for the development of these recent efforts,
please see the credits and acknowledgments or
other links above. Additional differences between these various datasets
are documented in the FAQ.
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