Global Spatially-Disaggregated Crop Production Statistics Data for 2000 Version 3.0.7
2019 | 2020
International Food Policy Research Institute (IFPRI) | You, Liangzhi; Wood-Sichra, Ulrike; Guo, Zhe; Koo, Jawoo
Using a variety of inputs, IFPRI's Spatial Production Allocation Model (SPAM) uses a cross-entropy approach to make plausible estimates of crop distribution within disaggregated units. Moving the data from coarser units such as countries and sub-national provinces, to finer units such as grid cells, reveals spatial patterns of crop performance, creating a global gridscape at the confluence between geography and agricultural production systems. Improving spatial understanding of crop production systems allows policymakers and donors to better target agricultural and rural development policies and investments, increasing food security and growth with minimal environmental impacts
اظهر المزيد [+] اقل [-]IFPRI1; Open Access; CRP2; HarvestChoice
اظهر المزيد [+] اقل [-]EPTD; PIM
اظهر المزيد [+] اقل [-]CGIAR Platform for Big Data in Agriculture (Big Data); CGIAR Research Program on Policies, Institutions, and Markets (PIM);
اظهر المزيد [+] اقل [-]الكلمات المفتاحية الخاصة بالمكنز الزراعي (أجروفوك)
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