IDEAS home Printed from https://ideas.repec.org/p/ags/aaea06/21299.html
   My bibliography  Save this paper

Generating global crop distribution maps: from census to grid

Author

Listed:
  • You, Liangzhi
  • Wood, Stanley
  • Wood-Sichra, Ulrike

Abstract

In order to evaluate food security, technology potential and the environmental impacts of production in a strategic and regional context, it is critical to have reliable information on the spatial distribution and coincidence of people, agricultural production, and environmental services. This paper proposes a spatial allocation model for generating highly disaggregated, crop-specific production data by a triangulation of any and all relevant background and partial information. This includes national or sub-national crop production statistics, satellite data on land cover, maps of irrigated areas, biophysical crop suitability assessments, population density, secondary data on irrigation and rainfed production systems, cropping intensity, and crop prices. This information is compiled and integrated to generate "prior" estimates of the spatial distribution of individual crops. Priors are then submitted to an optimization model that uses cross-entropy principles and area and production accounting constraints to simultaneously allocate crops into the individual pixels of a GIS database. The result for each pixel (notionally of any size, but typically from 25 to 100 square km) is the area and production of each crop produced, split by the shares grown under irrigated, high-input rainfed, low-input rainfed conditions (each with distinct yield levels). Tested in Latin America and sub-Saharan Africa, the spatial allocation model is applied here to generate a global distribution of crop area and production for 20 major crops (wheat, rice, maize, barley, millet, sorghum, potato, sweet potato, cassava and yams, plantain and banana, soybean, dry beans, other pulse, sugar cane, sugar beets, coffee, cotton, other fibres, groundnuts, and other oil crops). The detailed spatial datasets represent a truly unique and extremely rich platform for exploring the social, economic and environmental consequences of agricultural production in a strategic policy context.

Suggested Citation

  • You, Liangzhi & Wood, Stanley & Wood-Sichra, Ulrike, 2006. "Generating global crop distribution maps: from census to grid," 2006 Annual meeting, July 23-26, Long Beach, CA 21299, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  • Handle: RePEc:ags:aaea06:21299
    DOI: 10.22004/ag.econ.21299
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/21299/files/sp06wo01.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.21299?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Kareiva, Peter & Tallis, Heather & Ricketts, Taylor H. & Daily, Gretchen C. & Polasky, Stephen (ed.), 2011. "Natural Capital: Theory and Practice of Mapping Ecosystem Services," OUP Catalogue, Oxford University Press, number 9780199589005.
    2. You, Liangzhi & Wood, Stanley, 2006. "An entropy approach to spatial disaggregation of agricultural production," Agricultural Systems, Elsevier, vol. 90(1-3), pages 329-347, October.
    3. Genti Kostandini & Bradford F. Mills & Steven Were Omamo & Stanley Wood, 2009. "Ex ante analysis of the benefits of transgenic drought tolerance research on cereal crops in low‐income countries," Agricultural Economics, International Association of Agricultural Economists, vol. 40(4), pages 477-492, July.
    4. You, Liangzhi & Ringler, Claudia & Wood-Sichra, Ulrike & Robertson, Richard & Wood, Stanley & Zhu, Tingju & Nelson, Gerald & Guo, Zhe & Sun, Yan, 2011. "What is the irrigation potential for Africa? A combined biophysical and socioeconomic approach," Food Policy, Elsevier, vol. 36(6), pages 770-782.
    5. repec:wbk:wbpubs:12481 is not listed on IDEAS
    6. You, Liangzhi & Wood, Stanley & Wood-Sichra, Ulrike, 2009. "Generating plausible crop distribution maps for Sub-Saharan Africa using a spatially disaggregated data fusion and optimization approach," Agricultural Systems, Elsevier, vol. 99(2-3), pages 126-140, February.
    7. Anselin, Luc, 2002. "Under the hood : Issues in the specification and interpretation of spatial regression models," Agricultural Economics, Blackwell, vol. 27(3), pages 247-267, November.
    8. Bruno Losch & Sandrine Fréguin-Gresh & Eric Thomas White, 2012. "Structural Transformation and Rural Change Revisited : Challenges for Late Developing Countries in a Globalizing World [Transformations rurales et développement : Les défis du changement structurel," World Bank Publications - Books, The World Bank Group, number 12482, December.
    9. Nelson, Gerald C., 2002. "Introduction to the special issue on spatial analysis for agricultural economists," Agricultural Economics, Blackwell, vol. 27(3), pages 197-200, November.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Johnson, Michael E. & Takeshima, Hiroyuki & Gyimah-Brempong, Kwabena, 2013. "Assessing the potential and policy alternatives for achieving rice competitiveness and growth in Nigeria:," IFPRI discussion papers 1301, International Food Policy Research Institute (IFPRI).
    2. You, Liangzhi & Wood, Stanley & Wood-Sichra, Ulrike, 2007. "Generating plausible crop distribution and performance maps for Sub-Saharan Africa using a spatially disaggregated data fusion and optimization approach:," IFPRI discussion papers 725, International Food Policy Research Institute (IFPRI).
    3. You, Liangzhi & Wood, Stanley & Wood-Sichra, Ulrike, 2009. "Generating plausible crop distribution maps for Sub-Saharan Africa using a spatially disaggregated data fusion and optimization approach," Agricultural Systems, Elsevier, vol. 99(2-3), pages 126-140, February.
    4. Ulimwengu, John & Funes, Jose & Headey, Derek & You, Liangzhi, 2009. "Paving the way for development?: The impact of transport infrastructure on agricultural production and poverty reduction in the Democratic Republic of Congo," IFPRI discussion papers 944, International Food Policy Research Institute (IFPRI).
    5. António Xavier & Rui Fragoso & Maria Belém Costa Freitas & Maria Socorro Rosário, 2019. "An Approach Using Entropy and Supervised Classifications to Disaggregate Agricultural Data at a Local Level," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 17(4), pages 763-779, December.
    6. António Xavier & Rui Fragoso & Maria De Belém Costa Freitas & Maria Do Socorro Rosário & Florentino Valente, 2018. "A Minimum Cross-Entropy Approach to Disaggregate Agricultural Data at the Field Level," Land, MDPI, vol. 7(2), pages 1-16, May.
    7. Jean-François Maystadt & Margherita Calderone & Liangzhi You, 2015. "Local warming and violent conflict in North and South Sudan," Journal of Economic Geography, Oxford University Press, vol. 15(3), pages 649-671.
    8. Baylis, Kathy & Paulson, Nicholas D. & Piras, Gianfranco, 2011. "Spatial Approaches to Panel Data in Agricultural Economics: A Climate Change Application," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 43(3), pages 325-338, August.
    9. Kiselev, Sergey & Romashkin, Roman & Nelson, Gerald C. & Mason-D'Croz, Daniel & Palazzo, Amanda, 2013. "Russia's food security and climate change: Looking into the future," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 7, pages 1-66.
    10. Takle, Eugene S. & Gustafson, David & Beachy, Roger & Neslon, Gerald C. & Mason-D'Croz, Daniel & Palazzo, Amanda, 2013. "US food security and climate change: Agricultural futures," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 7, pages 1-41.
    11. Hendriks, C.M.J. & Stoorvogel, J.J. & Claessens, L., 2016. "Exploring the challenges with soil data in regional land use analysis," Agricultural Systems, Elsevier, vol. 144(C), pages 9-21.
    12. You, Liangzhi & Wood, Stanley & Wood-Sichra, Ulrike, 2004. "Generating Plausible Crop Distribution Maps For Sub-Sahara Africa Using Spatial Allocation Model," 2004 Annual meeting, August 1-4, Denver, CO 19965, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    13. Kathleen P. Bell & Timothy J. Dalton, 2007. "Spatial Economic Analysis in Data‐Rich Environments," Journal of Agricultural Economics, Wiley Blackwell, vol. 58(3), pages 487-501, September.
    14. Ye, Liming & Tang, Huajun & Wu, Wenbin & Yang, Peng & Nelson, Gerald C. & Mason-D'Croz, Daniel & Palazzo, Amanda, 2014. "Chinese food security and climate change: Agriculture futures," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 8, pages 1-39.
    15. Johnson, M., 2014. "Exploring strategic priorities for regional agricultural research and development investments in Southern Africa," IWMI Working Papers H046297, International Water Management Institute.
    16. Atsushi Iimi & Liangzhi You & Ulrike Wood-Sichra, 2020. "Spatial Autocorrelation Panel Regression: Agricultural Production and Transport Connectivity," Networks and Spatial Economics, Springer, vol. 20(2), pages 529-547, June.
    17. Anderson, Weston & You, Liangzhi & Wood, Stanley & Wood-Sichra, Ulrike & Wu, Wenbin, 2014. "A comparative analysis of global cropping systems models and maps:," IFPRI discussion papers 1327, International Food Policy Research Institute (IFPRI).
    18. Raymond J. G. M. Florax & Arno J. Van der Vlist, 2003. "Spatial Econometric Data Analysis: Moving Beyond Traditional Models," International Regional Science Review, , vol. 26(3), pages 223-243, July.
    19. António Xavier & Maria Belem Freitas & Maria do Socorro Rosário & Rui Fragoso, 2016. "Disaggregating Statistical Data at Field Level: An Entropy Approach," CEFAGE-UE Working Papers 2016_06, University of Evora, CEFAGE-UE (Portugal).
    20. Johnson, Michael E. & Benin, Samuel & You, Liangzhi & Diao, Xinshen & Chilonda, Pius & Kennedy, Adam, 2014. "Exploring strategic priorities for regional agricultural research and development investments in southern Africa:," IFPRI discussion papers 1318, International Food Policy Research Institute (IFPRI).

    More about this item

    Keywords

    Research Methods/ Statistical Methods;

    JEL classification:

    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
    • Q15 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Land Ownership and Tenure; Land Reform; Land Use; Irrigation; Agriculture and Environment
    • Q24 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Land

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:aaea06:21299. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: https://edirc.repec.org/data/aaeaaea.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/aaeaaea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.