Sampling Spatial Units for Agricultural Surveys by Roberto BenedettiSampling Spatial Units for Agricultural Surveys by Roberto Benedetti

Sampling Spatial Units for Agricultural Surveys

byRoberto Benedetti, Federica Piersimoni, Paolo Postiglione

Hardcover | March 31, 2015

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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.
Roberto Benedetti is Professor of Economic Statistics at University of Chieti-Pescara (Italy). He was visiting researcher at the National Centre for Geographic Information Analysis of the University of California at Santa Barbara, at Regional Economics Applications Laboratory of University of Illinois at Urbana-Champaign, at Centre for...
Title:Sampling Spatial Units for Agricultural SurveysFormat:HardcoverDimensions:325 pagesPublished:March 31, 2015Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3662460076

ISBN - 13:9783662460078

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Table of Contents

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.

Editorial Reviews

"This monograph presents a contemporary study of sample surveys by geographically distributed data in the agricultural sector. . Each chapter contains many dozen references up to the most recent sources. The monograph can be very helpful for lecturers, graduate students, and researchers using survey methods in general, and particularly in spatial agricultural studies." (Stan Lipovetsky, Technometrics, Vol. 59 (1), February, 2017)"This book is a meticulously organized treatise of applying spatial data methods to sample surveys (primarily in agriculture), with the computational engine powered by the R software. . It is mainly an intermediate-level reference book for graduate students and (agricultural) researchers to get introduced to the nuances of spatial statistics in survey sampling, and quickly move to hands-on computing. . If you are enamoured with the versatility of R, I highly recommend buying it." (Dipankar Bandyopadhyay, Journal of Statistical Software, Vol. 6, February, 2016)