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
Afficher plus [+] Moins [-]IFPRI1; Open Access; CRP2; HarvestChoice
Afficher plus [+] Moins [-]EPTD; PIM
Afficher plus [+] Moins [-]CGIAR Platform for Big Data in Agriculture (Big Data); CGIAR Research Program on Policies, Institutions, and Markets (PIM);
Afficher plus [+] Moins [-]Mots clés AGROVOC
Informations bibliographiques
Cette notice bibliographique a été fournie par International Food Policy Research Institute
Découvrez la collection de ce fournisseur de données dans AGRIS
