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Volumn 38, Issue 3, 2016, Pages 373-388

Data science and management for large scale empirical applications in agricultural and applied economics research

Author keywords

Agricultural analytics; Big data; Data management; Data science

Indexed keywords


EID: 85010445028     PISSN: 20405790     EISSN: 20405804     Source Type: Journal    
DOI: 10.1093/aepp/ppw009     Document Type: Article
Times cited : (25)

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  • 2
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    • Agricultural Conservation and Environmental Programs: The Challenge of Data-driven Conservation
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  • 4
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    • Computational Sustainability: Computational Methods for a Sustainable Environment, Economy, Society
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    • (2009) The Bridge , vol.39 , Issue.4 , pp. 5-13
    • Gomes, C.P.1
  • 5
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    • Integrating Seasonal Climate Prediction and Agricultural Models for Insights into Agricultural Practice
    • Hansen, J.W. 2005. Integrating Seasonal Climate Prediction and Agricultural Models for Insights into Agricultural Practice. Philosophical Transactions of the Royal Society B 360: 2037-47.
    • (2005) Philosophical Transactions of the Royal Society B , vol.360 , pp. 2037-2047
    • Hansen, J.W.1
  • 6
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    • An Open Geographic Modeling Environment
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    • Guidance for Providing and Using Administrative Data for Statistical Purposes.
    • Office Of Management and Budget. 2014. Memorandum For The Heads Of Executive Departments And Agencies: Guidance for Providing and Using Administrative Data for Statistical Purposes.
    • (2014) Memorandum For The Heads Of Executive Departments And Agencies
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    • Increasing Access to the Results of Federally Funded Scientific Research
    • Washington DC.
    • Office of Science and Technology Policy. 2013. Increasing Access to the Results of Federally Funded Scientific Research. OSTP Memorandum for the Heads of Executive Departments and Agencies, Washington DC.
    • (2013) OSTP Memorandum for the Heads of Executive Departments and Agencies
  • 11
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    • Modelling the Spatial Distribution of Agricultural Land Use at the Regional Scale
    • Rounsevell, M.D.A., J.E. Annetts, E. Audsley, T. Mayr, I. Reginster. 2003. Modelling the Spatial Distribution of Agricultural Land Use at the Regional Scale. Agr Ecosys Env. 95 (2-3): 465-79.
    • (2003) Agr Ecosys Env. , vol.95 , Issue.2-3 , pp. 465-479
    • Rounsevell, M.D.A.1    Annetts, J.E.2    Audsley, E.3    Mayr, T.4    Reginster, I.5
  • 13
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    • Big Data and Ag-Analytics: An Open Source, Open Data Platform for Agricultural Environmental Finance, Insurance, Risk
    • Woodard, J.D., Forthcoming 2016. Big Data and Ag-Analytics: An Open Source, Open Data Platform for Agricultural & Environmental Finance, Insurance, Risk. Agricultural Finance Review 76 (1).
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    • Woodard, J.D.1
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    • Crop Values 2012 Summary. Washington DC.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.