Spatially-Disaggregated Crop Production Statistics Data in Africa South of the Sahara for 2017

Using a variety of inputs, IFPRI's Spatial Production Allocation Model (SPAM, also known as MapSPAM) 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 Africa South of the Sahara-wide grid-scape 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.

依托多源输入数据，国际食物政策研究所（IFPRI）的空间生产分配模型（Spatial Production Allocation Model，SPAM，亦称MapSPAM）采用交叉熵方法，对细分统计单元内的作物分布开展合理估算。该模型将数据从国家、省级行政区等粗粒度单元细化至格网单元等细粒度单元，借此揭示作物生产表现的空间分布格局，构建起融合地理特征与农业生产系统的撒哈拉以南非洲全域格网数据集。强化对作物生产系统的空间认知，能够助力政策制定者与捐助方更精准地匹配农业与农村发展政策及投资方向，在最大限度降低环境影响的前提下，提升粮食安全水平与经济增长效能。