Global Spatially-Disaggregated Crop Production Statistics Data for 2020 Version 1.0

The 2020 SPAM (Spatial Production Allocation Model) products, encompassing crop area, yield, and production at a 5-minute grid resolution, have been developed by Zhe Guo, Shuang Zhou, and Liangzhi You. Employing a diverse range of inputs, IFPRI's Spatial Production Allocation Model (SPAM) utilizes a cross-entropy method to generate plausible estimations of crop distribution within disaggregated units. By transitioning data from broader units like countries and sub-national provinces to more granular units such as grid cells, SPAM unveils spatial patterns of crop performance, forming a global grid-scape where geography intersects with agricultural production systems. Enhancing spatial comprehension of crop production systems empowers policymakers and donors to effectively target agricultural and rural development policies and investments, thereby enhancing food security and fostering growth while minimizing environmental impacts.

2020年空间生产分配模型（Spatial Production Allocation Model，SPAM）数据集由郭喆、周爽及尤良智研发，该数据集包含5分钟网格分辨率下的作物种植面积、单产与总产量数据。国际食物政策研究所（International Food Policy Research Institute，IFPRI）开发的空间生产分配模型（SPAM）采用多样化输入数据集，通过交叉熵方法生成细分单元下合理的作物分布估算结果。该模型将国家、国家下属省份等粗粒度单元的数据转换为网格单元等精细空间单元，揭示了作物生产表现的空间分布格局，构建起地理与农业生产系统相互交织的全球网格空间图景。加深对农业生产系统空间分布的认知，能够助力政策制定者与援助方精准制定农业和农村发展政策、优化投资布局，从而在降低环境影响的同时提升粮食安全水平、推动经济增长。