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  1. Predicting the Spatial Patterns of Land Conversion

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    01 Oct 2014 | Contributor(s): Nelson Benjamin Villoria, Jing Liu

  2. Predicting the Spatial Patterns of Land Conversion

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    03 Oct 2014 | Contributor(s): Nelson Benjamin Villoria, Jing Liu

  3. Productivity growth and poverty reduction in India: A GEOSHARE application from the IRRI/Asia Hub

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    01 Oct 2014 | Contributor(s): Andy Nelson

  4. Proposed Institutional Design for GEOSHARE

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    01 Oct 2014 | Contributor(s): Lan Zhao

  5. Proposed Institutional Design for GEOSHARE

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    03 Oct 2014 | Contributor(s): Tom Hertel

  6. Quantifying the uncertainties in estimating the heterogeneous effects of carbon taxes on labor, land, water, and fertilizer use in US agriculture

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    17 May 2023 | Contributor(s): Iman Haqiqi

    Selected Paper prepared for presentation at the 2023 Agricultural & Applied Economics Association Annual Meeting, Washington DC; July 23-25, 2023 Potential carbon taxes will have spatially heterogeneous impacts on agriculture. The magnitude of impacts depends on 1) the direct and...

  7. Reflections on persistent problems and emerging opportunities…..

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    31 Jul 2014 | Contributor(s): Stanley Wood

    This is a presentation from geoshare roundtable at GLP-OSM 2014.

  8. Running SPAM on the HUB and Incorporating Private Sector Knowledge

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    01 Oct 2014 | Contributor(s): Paul Preckel, Jingyu Song

  9. SIMPLE-G US Web Application

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    11 Sep 2018 | Contributor(s): Jungha Woo, Uris Lantz C Baldos, Lan Zhao, Carol Song, Jaewoo Shin

    SIMPLE-G US is the US version of the SIMPLE-G

  10. SPAM in the Clouds

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    01 Oct 2014 | Contributor(s): Jingyu Song, Nelson Benjamin Villoria, Paul Preckel

  11. SPAM in the Clouds

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    03 Oct 2014 | Contributor(s): Jingyu Song, Nelson Benjamin Villoria, Paul Preckel

  12. Spatially Explicit Analysis of Agriculture and Poverty in Asia

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    31 Jul 2014 | Contributor(s): Andrew Nelson

    Presentation by Andrew Nelson at the GEOSHARE Workshop, 23 May 2011BioAndrew NelsonInternational Rice Research Institute

  13. Spatially Explicit Analysis of Agriculture, Poverty and Economic Development in Sub-Saharan Africa

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    31 Jul 2014 | Contributor(s): Stanley Wood

    Presentation by Stanley Wood at the GEOSHARE Workshop, 23 May 2011BioStanley WoodSenior Research Fellow - Environment and Production Technology Division, IFPRICo-PI - HarvestChoiceCoordinator - CGIAR Consortium on Spatial Information (CGIAR/CSI)

  14. State-of-the-art in Data Fusion

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    01 Oct 2014 | Contributor(s): Navin Ramankutty

  15. The AgMIP tool for global impact assessment of climate change

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    01 Oct 2014 | Contributor(s): Nelson Benjamin Villoria

  16. The derived demand for geospatial data in global change analysis and the need for data endorsement

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    01 Oct 2014 | Contributor(s): Niven Winchester, Hermann Lotze-Campen, Petr Havlik

  17. The role of international trade in managing food security risks from climate change

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    20 Mar 2015 | Publications | Contributor(s): Uris Lantz C Baldos, Tom Hertel

    International trade plays an important role in facilitating global food security in the face of a changing climate. In considering this issue, it is useful to distinguish between two different time scales: inter-annual and inter-decadal. Inter-annual adjustments in international trade can play an...

  18. Understanding irrigation in India

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    01 Oct 2014 | Online Presentations | Contributor(s): Stefan Siebert, Gang Zhao

  19. Understanding irrigation in India

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    01 Oct 2014 | Online Presentations | Contributor(s): Stefan Siebert, Gang Zhao

  20. Using spatially explicit data to improve our understanding of land supply responses: An application to the cropland effects of global sustainable irrigation in the Americas

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    09 Aug 2018 | Publications | Contributor(s): Nelson Benjamin Villoria, Jing Liu

    Land supply elasticities determine the rates of land conversion in global policy models. However, they are only available for few countries in the world. Therefore, analysts seeking to improve the spatial resolution of their models are forced to impose regionally homogeneous parameters...