{"query_echo":{"q":"","filters":{"analysis_type":["data description"]},"warnings":[{"code":"facet_value_not_in_vocabulary","message":"Value 'data description' for facet 'analysis_type' is not in the controlled vocabulary."}]},"total":{"value":1,"relation":"eq"},"page":1,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?analysis_type=data+description","stability":"beta","ai_marking":{"digital_source_type":{"uri":"http://cv.iptc.org/newscodes/digitalsourcetype/trainedAlgorithmicMedia","name":"Created using Generative AI"},"notice":"Summary and key insights are generated using artificial intelligence."},"results":[{"id":"sei-001976","url":"https://climateinsightsdirectory.org/document/sei-001976","title":"The Global Subnational Agricultural Production (GSAP) database","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"fact sheet","language":"en","date_published":"2024-04","source_url":"https://www.sei.org/wp-content/uploads/2024/04/the-global-subnational-agricultural-production-gsap-database.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The Global Subnational Agricultural Production (GSAP) database is the first standardized global dataset providing subnational agricultural production data (2010–21) for the world's 50 most relevant crops. By collecting data from national agricultural censuses and surveys at the district, province, or region level, GSAP fills a critical information gap left by national-level data sources like FAOSTAT. The database currently covers 185 countries and approximately 15,000 subnational jurisdictions, capturing a significant portion of global production for staples such as soybean (92%), maize and sugarcane (85%), and wheat and rice (75%). The project aims to enhance the accuracy of analyses regarding yield gaps, climate adaptation, and supply chain sustainability, with future goals including the launch of a public online platform and the expansion of data to include livestock and forestry.","ai_generated":true,"unit":"sei-001976#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The GSAP database is the first standardized global subnational agricultural production dataset that is both comprehensive in country coverage and updated for the period 2010–21, covering the 50 most relevant global crops including grains like wheat, maize, rice, and soybean, as well as local security crops like cassava, yams, coffee, and cocoa.","ai_generated":true,"unit":"sei-001976#insight-1","date_modified":"2026-10-23"},{"text":"GSAP addresses a critical information gap where existing global data, such as FAOSTAT, only provides national resolution, and other available crop maps are either outdated or based on suitability models rather than actual production data.","ai_generated":true,"unit":"sei-001976#insight-2","date_modified":"2026-10-23"},{"text":"The database has obtained data from 185 countries and processed information for around 15,000 subnational jurisdictions. These jurisdictions account for 92% of global soybean production, 85% of global maize and sugarcane production, and 75% of global wheat and rice production.","ai_generated":true,"unit":"sei-001976#insight-3","date_modified":"2026-10-23"},{"text":"The GSAP methodology involves obtaining official data from national statistical offices and ministries of agriculture, using AI-related optical character recognition and pattern matching for cleaning, and harmonizing data using the Database of Global Administrative Area and the FAO crop coding system.","ai_generated":true,"unit":"sei-001976#insight-4","date_modified":"2026-10-23"}],"climate_tags":["agricultural production","food security","climate change","climate change adaptation","land use","biodiversity","Sustainable Development Goals"],"geography_discussed":["Argentina","Brazil","People's Republic of China","United States","Thailand","Democratic Republic of the Congo","Nigeria"],"frame_perspective":[],"analysis_type":["data description","methodology"]}]}