{"id":3332710,"identifier":"DVN/PRFF8V","persistentUrl":"https://doi.org/10.7910/DVN/PRFF8V","protocol":"doi","authority":"10.7910","separator":"/","publisher":"Harvard Dataverse","publicationDate":"2019-01-04","storageIdentifier":"file://10.7910/DVN/PRFF8V","datasetType":"dataset","datasetVersion":{"id":436158,"datasetId":3332710,"datasetPersistentId":"doi:10.7910/DVN/PRFF8V","storageIdentifier":"file://10.7910/DVN/PRFF8V","versionNumber":4,"versionMinorNumber":2,"versionState":"RELEASED","latestVersionPublishingState":"RELEASED","deaccessionLink":"","distributionDate":"2019","productionDate":"2019-10-09","lastUpdateTime":"2025-02-04T15:45:24Z","releaseTime":"2025-02-04T15:45:24Z","createTime":"2025-02-04T15:45:11Z","publicationDate":"2019-01-04","citationDate":"2019-01-04","termsOfUse":"

IFPRI DATAVERSE TERMS OF USE

\r\nBy using this website and any of the materials made available through it, you agree to abide by the Terms of Use of IFPRI Dataverse. The datasets and documents in this study are licensed under \"Creative
This work is licensed under a Creative Commons Attribution 4.0 International License.","fileAccessRequest":false,"metadataBlocks":{"citation":{"displayName":"Citation Metadata","name":"citation","fields":[{"typeName":"title","multiple":false,"typeClass":"primitive","value":"Global Spatially-Disaggregated Crop Production Statistics Data for 2010 Version 2.0"},{"typeName":"subtitle","multiple":false,"typeClass":"primitive","value":"Spatial Production Allocation Model (SPAM) 2010"},{"typeName":"alternativeTitle","multiple":true,"typeClass":"primitive","value":["MapSPAM 2010"]},{"typeName":"author","multiple":true,"typeClass":"compound","value":[{"authorName":{"typeName":"authorName","multiple":false,"typeClass":"primitive","value":"International Food Policy Research Institute (IFPRI)"}}]},{"typeName":"datasetContact","multiple":true,"typeClass":"compound","value":[{"datasetContactName":{"typeName":"datasetContactName","multiple":false,"typeClass":"primitive","value":"Guo, Zhe"},"datasetContactAffiliation":{"typeName":"datasetContactAffiliation","multiple":false,"typeClass":"primitive","value":"International Food Policy Research Institute (IFPRI)"},"datasetContactEmail":{"typeName":"datasetContactEmail","multiple":false,"typeClass":"primitive","value":"z.guo@cgiar.org"}},{"datasetContactName":{"typeName":"datasetContactName","multiple":false,"typeClass":"primitive","value":"You, Liangzhi"},"datasetContactAffiliation":{"typeName":"datasetContactAffiliation","multiple":false,"typeClass":"primitive","value":"International Food Policy Research Institute (IFPRI)"},"datasetContactEmail":{"typeName":"datasetContactEmail","multiple":false,"typeClass":"primitive","value":"l.you@cgiar.org"}},{"datasetContactName":{"typeName":"datasetContactName","multiple":false,"typeClass":"primitive","value":"Koo, Jawoo"},"datasetContactAffiliation":{"typeName":"datasetContactAffiliation","multiple":false,"typeClass":"primitive","value":"International Food Policy Research Institute (IFPRI)"},"datasetContactEmail":{"typeName":"datasetContactEmail","multiple":false,"typeClass":"primitive","value":"j.koo@cgiar.org"}}]},{"typeName":"dsDescription","multiple":true,"typeClass":"compound","value":[{"dsDescriptionValue":{"typeName":"dsDescriptionValue","multiple":false,"typeClass":"primitive","value":"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 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."},"dsDescriptionDate":{"typeName":"dsDescriptionDate","multiple":false,"typeClass":"primitive","value":"2020-07-14"}}]},{"typeName":"subject","multiple":true,"typeClass":"controlledVocabulary","value":["Agricultural Sciences","Computer and Information Science","Earth and Environmental Sciences"]},{"typeName":"keyword","multiple":true,"typeClass":"compound","value":[{"keywordValue":{"typeName":"keywordValue","multiple":false,"typeClass":"primitive","value":"statistics"},"keywordVocabulary":{"typeName":"keywordVocabulary","multiple":false,"typeClass":"primitive","value":"AGROVOC"},"keywordVocabularyURI":{"typeName":"keywordVocabularyURI","multiple":false,"typeClass":"primitive","value":"http://aims.fao.org/aos/agrovoc/c_49978"}},{"keywordValue":{"typeName":"keywordValue","multiple":false,"typeClass":"primitive","value":"plant production"},"keywordVocabulary":{"typeName":"keywordVocabulary","multiple":false,"typeClass":"primitive","value":"AGROVOC"},"keywordVocabularyURI":{"typeName":"keywordVocabularyURI","multiple":false,"typeClass":"primitive","value":"http://aims.fao.org/aos/agrovoc/c_5976"}},{"keywordValue":{"typeName":"keywordValue","multiple":false,"typeClass":"primitive","value":"spatial distribution"},"keywordVocabulary":{"typeName":"keywordVocabulary","multiple":false,"typeClass":"primitive","value":"AGROVOC"},"keywordVocabularyURI":{"typeName":"keywordVocabularyURI","multiple":false,"typeClass":"primitive","value":"http://aims.fao.org/aos/agrovoc/c_36230"}},{"keywordValue":{"typeName":"keywordValue","multiple":false,"typeClass":"primitive","value":"spatial database"},"keywordVocabulary":{"typeName":"keywordVocabulary","multiple":false,"typeClass":"primitive","value":"AGROVOC"},"keywordVocabularyURI":{"typeName":"keywordVocabularyURI","multiple":false,"typeClass":"primitive","value":"http://aims.fao.org/aos/agrovoc/c_9000154"}}]},{"typeName":"topicClassification","multiple":true,"typeClass":"compound","value":[{"topicClassValue":{"typeName":"topicClassValue","multiple":false,"typeClass":"primitive","value":"Food security"},"topicClassVocab":{"typeName":"topicClassVocab","multiple":false,"typeClass":"primitive","value":"AGROVOC"},"topicClassVocabURI":{"typeName":"topicClassVocabURI","multiple":false,"typeClass":"primitive","value":"http://aims.fao.org/aos/agrovoc/c_10967"}},{"topicClassValue":{"typeName":"topicClassValue","multiple":false,"typeClass":"primitive","value":"Agricultural production"},"topicClassVocab":{"typeName":"topicClassVocab","multiple":false,"typeClass":"primitive","value":"AGROVOC"},"topicClassVocabURI":{"typeName":"topicClassVocabURI","multiple":false,"typeClass":"primitive","value":"http://aims.fao.org/aos/agrovoc/c_2ac7c9e1"}},{"topicClassValue":{"typeName":"topicClassValue","multiple":false,"typeClass":"primitive","value":"Geographical information systems"},"topicClassVocab":{"typeName":"topicClassVocab","multiple":false,"typeClass":"primitive","value":"AGROVOC"},"topicClassVocabURI":{"typeName":"topicClassVocabURI","multiple":false,"typeClass":"primitive","value":"http://aims.fao.org/aos/agrovoc/c_35131"}}]},{"typeName":"publication","multiple":true,"typeClass":"compound","value":[{"publicationCitation":{"typeName":"publicationCitation","multiple":false,"typeClass":"primitive","value":"Yu, Q., You, L., Wood-Sichra, U., Ru, Y., Joglekar, A. K. B., Fritz, S., Xiong, W., Lu, M., Wu, W., and Yang, P.: A cultivated planet in 2010: 2. the global gridded agricultural production maps, Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-11, in review, 2020."},"publicationIDType":{"typeName":"publicationIDType","multiple":false,"typeClass":"controlledVocabulary","value":"doi"},"publicationIDNumber":{"typeName":"publicationIDNumber","multiple":false,"typeClass":"primitive","value":"10.5194/essd-2020-11"},"publicationURL":{"typeName":"publicationURL","multiple":false,"typeClass":"primitive","value":"https://essd.copernicus.org/preprints/essd-2020-11/"}}]},{"typeName":"notesText","multiple":false,"typeClass":"primitive","value":"For more information and data download options, please visit the MapSPAM website at https://mapspam.info. Funding support for MapSPAM was provided by CGIAR Platform for Big Data in Agriculture, CGIAR Research Program on Policies, Institutions, and Markets (PIM), The Bill and Melinda Gates Foundation, NASA Harvest (https://nasaharvest.org), USAID Feed the Future Innovation Lab for Small Scale Irrigation (https://ilssi.tamu.edu), USAID Feed the Future Innovation Lab for Sustainable Intensification (https://www.k-state.edu/siil), and Macro Agriculture Research Institute (http://mari.hzau.edu.cn)."},{"typeName":"producer","multiple":true,"typeClass":"compound","value":[{"producerName":{"typeName":"producerName","multiple":false,"typeClass":"primitive","value":"International Food Policy Research 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