Sampling Spatial Units for Agricultural Surveys

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 p...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Benedetti, Roberto (Συγγραφέας), Piersimoni, Federica (Συγγραφέας), Postiglione, Paolo (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2015.
Σειρά:Advances in Spatial Science, The Regional Science Series,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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100 1 |a Benedetti, Roberto.  |e author. 
245 1 0 |a Sampling Spatial Units for Agricultural Surveys  |h [electronic resource] /  |c by Roberto Benedetti, Federica Piersimoni, Paolo Postiglione. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg :  |b Imprint: Springer,  |c 2015. 
300 |a XVIII, 325 p. 44 illus.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
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490 1 |a Advances in Spatial Science, The Regional Science Series,  |x 1430-9602 
505 0 |a 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. 
520 |a 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. 
650 0 |a Economic geography. 
650 0 |a Agriculture. 
650 0 |a Statistics. 
650 0 |a Econometrics. 
650 0 |a Regional economics. 
650 0 |a Spatial economics. 
650 1 4 |a Economics. 
650 2 4 |a Regional/Spatial Science. 
650 2 4 |a Statistical Theory and Methods. 
650 2 4 |a Agriculture. 
650 2 4 |a Economic Geography. 
650 2 4 |a Econometrics. 
650 2 4 |a Statistics and Computing/Statistics Programs. 
700 1 |a Piersimoni, Federica.  |e author. 
700 1 |a Postiglione, Paolo.  |e author. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783662460078 
830 0 |a Advances in Spatial Science, The Regional Science Series,  |x 1430-9602 
856 4 0 |u http://dx.doi.org/10.1007/978-3-662-46008-5  |z Full Text via HEAL-Link 
912 |a ZDB-2-SBE 
950 |a Business and Economics (Springer-11643)