A Global, Spatially Explicit Open-Source Data Base for Analysis of Agriculture, Forestry, and the Environment: Proposal and Institutional Considerations

Tom Hertel; Wolfgang Britz; Noah Diffenbaugh; Navin Ramankutty; Nelson Benjamin Villoria

A Global, Spatially Explicit Open-Source Data Base for Analysis of Agriculture, Forestry, and the Environment: Proposal and Institutional Considerations

By Tom Hertel¹, Wolfgang Britz², Noah Diffenbaugh³, Navin Ramankutty⁴, Nelson Benjamin Villoria¹

1. Purdue University 2. University of Bonn 3. Stanford University 4. McGill University

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Published on

30 Jul 2014

Abstract

Background study submitted to the Foresight Programme

Credits

Thomas Hertel, Purdue University
Wolfgang Britz, University of Bonn
Noah Diffenbaugh, Stanford University
Navin Ramankutty, McGill University
Nelson Villoria, Purdue University
Stanley Wood, IFPRI
Stefan Siebert, University of Bonn
Glenn Hyman, CIAT
Andrew Nelson, IRRI

Cite this work

Researchers should cite this work as follows:

Tom Hertel; Wolfgang Britz; Noah Diffenbaugh; Navin Ramankutty; Nelson Benjamin Villoria (2014), "A Global, Spatially Explicit Open-Source Data Base for Analysis of Agriculture, Forestry, and the Environment: Proposal and Institutional Considerations," https://mygeohub.org/resources/729.

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