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Titlebook: Sampling Spatial Units for Agricultural Surveys; Roberto Benedetti,Federica Piersimoni,Paolo Postig Book 2015 Springer-Verlag Berlin Heide

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書(shū)目名稱Sampling Spatial Units for Agricultural Surveys
編輯Roberto Benedetti,Federica Piersimoni,Paolo Postig
視頻videohttp://file.papertrans.cn/861/860749/860749.mp4
概述Presents state-of-the-art methods and tools for spatial sampling of agricultural resources.Provides examples of simulated and real data.Includes the codes written in R for spatial data collection.Incl
叢書(shū)名稱Advances in Spatial Science
圖書(shū)封面Titlebook: Sampling Spatial Units for Agricultural Surveys;  Roberto Benedetti,Federica Piersimoni,Paolo Postig Book 2015 Springer-Verlag Berlin Heide
描述The research and its outcomes presented here focus on spatial sampling of agricultural resources. The authors introduce sampling designs and methods for producing accurate estimates of crop production for harvests across different regions and countries. With the help of real and simulated examples?performed with the open-source software R,?readers will learn about the different phases of spatial data collection. The agricultural data analyzed in this book help policymakers and market stakeholders to monitor the production of agricultural goods and its effects on environment and food safety.
出版日期Book 2015
關(guān)鍵詞Agricultural Statistics; R Codes; Regional Science; Spatial Econometrics; Spatial Sampling; Spatial Stati
版次1
doihttps://doi.org/10.1007/978-3-662-46008-5
isbn_softcover978-3-662-52630-9
isbn_ebook978-3-662-46008-5Series ISSN 1430-9602 Series E-ISSN 2197-9375
issn_series 1430-9602
copyrightSpringer-Verlag Berlin Heidelberg 2015
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Advances in Spatial Sciencehttp://image.papertrans.cn/s/image/860749.jpg
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https://doi.org/10.1007/978-3-662-46008-5Agricultural Statistics; R Codes; Regional Science; Spatial Econometrics; Spatial Sampling; Spatial Stati
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Essential Statistical Concepts, Definitions, and Terminology,ey are realized and interpreted in an appropriate way, they are a valuable technique for gaining information about a phenomenon. In this chapter we outline the main approaches to sampling and the statistical models for spatial data that will be used in the rest of the book.
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Roberto Benedetti,Federica Piersimoni,Paolo PostigPresents state-of-the-art methods and tools for spatial sampling of agricultural resources.Provides examples of simulated and real data.Includes the codes written in R for spatial data collection.Incl
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1430-9602 spatial data collection. The agricultural data analyzed in this book help policymakers and market stakeholders to monitor the production of agricultural goods and its effects on environment and food safety.978-3-662-52630-9978-3-662-46008-5Series ISSN 1430-9602 Series E-ISSN 2197-9375
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