The Spatial Production Allocation Model
CGIAR | Source |
The Spatial Production Allocation Model (SPAM) helps map detailed crop production patterns using limited data. By integrating various sources, SPAM estimates crop distribution across 42 crops and two production systems at a fine spatial scale (10x10 km grid cells). This approach highlights spatial patterns of agriculture, offering insights for better-targeted rural development policies.
SPAM’s results can be overlaid with other data, like population density, allowing analysis of regions with shared characteristics. Policymakers, researchers, and organizations like IFPRI, CGIAR, and FAO use SPAM to inform strategies in agricultural development, food security, and climate resilience.
Viewed Articles
CGIARÂ | Source | Â The Spatial Production Allocation Model (SPAM) helps map detailed crop production patterns using limited data. By integrating various sources, SPAM estimates crop distribution across
Read More
Food and Agricultural Organiztion of the United Nations| Source | Data |Â Guide |The FAPDA policy database is a comprehensive global resource containing over 18,000 national policy decisions and 3,000
Global Mangrove Alliance| Source | Data |Â Â The Global Mangrove Alliance unites NGOs, governments, scientists, and communities to protect and restore mangrove ecosystems. Formed in 2018, the alliance a
International Livestock Research Institute (ILRI) | Source | The Livestock and Climate Solutions Hub is a collaborative platform led by ILRI and CGIAR to support low- and middle-income countries (LMIC
NDC Partnership| Source | Climate Toolbox | Good Practice Database | Guide |The NDC Partnership unites over 200 members, including 120+ countries and 80+ institutions, to address climate change and ac
Government of Canada | Source | Data |Agricultural Climate Solutions (ACS) is a 10-year initiative designed to develop and implement sustainable farming practices to combat climate change. The program
