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[null,"1.","Record Nr.",null,"UNINA9910298477303321"]
[null,null,"Autore",null,"Benedetti Roberto"]
[null,null,"Titolo",null,"Sampling Spatial Units for Agricultural Surveys / / by Roberto Benedetti, Federica Piersimoni, Paolo Postiglione"]
[null,null,"Pubbl/distr/stampa",null,"Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2015"]
[null,null,"ISBN",null,"3-662-46008-4"]
[null,null,"Edizione",null,"[1st ed. 2015.]"]
[null,null,"Descrizione fisica",null,"1 online resource (340 p.)"]
[null,null,"Collana",null,"Advances in Spatial Science, The Regional Science Series, , 2197-9375"]
[null,null,"Disciplina",null,"333.70723"]
[null,null,"Soggetti",null,"Regional economics"]
[{"$nulls":4},"Space in economics"]
[{"$nulls":4},"Statistics"]
[{"$nulls":4},"Agriculture"]
[{"$nulls":4},"Economic geography"]
[{"$nulls":4},"Econometrics"]
[{"$nulls":4},"Mathematical statistics - Data processing"]
[{"$nulls":4},"Regional and Spatial Economics"]
[{"$nulls":4},"Statistical Theory and Methods"]
[{"$nulls":4},"Economic Geography"]
[{"$nulls":4},"Statistics and Computing"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references at the end of each chapters."]
[null,null,"Nota di contenuto",null,"Preface -- 1 Essential Statistical Concepts, Definitions, and Terminology -- 2 Overview and Brief History -- 3 GIS: The Essentials -- 4 An Introduction to Remotely Sensed Data Analysis -- 5 Setting Up the Frame -- 6 Sampling Designs -- 7 Spatial Sampling Designs -- 8 Sample Size and Sample Allocation -- 9 Survey Data Collection and Processing -- 10 Advances in Sampling Estimation -- 11 Small Area Estimation -- 12 Spatial Survey Data Modeling."]
[null,null,null,"Sommario/riassunto","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 "]
[{"$nulls":4},"policymakers and market stakeholders to monitor the production of agricultural goods and its effects on environment and food safety."]