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. W
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Roberto Benedetti Federica Piersimoni Paolo Postiglione
Sampling Spatial Units for Agricultural Surveys
Advances in Spatial Science The Regional Science Series
Series Editors Manfred M. Fischer Jean-Claude Thill Jouke van Dijk Hans Westlund Advisory Editors Geoffrey J.D. Hewings Peter Nijkamp Folke Snickars
More information about this series at http://www.springer.com/series/3302
Roberto Benedetti • Federica Piersimoni • Paolo Postiglione
Sampling Spatial Units for Agricultural Surveys
Roberto Benedetti Paolo Postiglione Department of Economic Studies “G. d’Annunzio” University of Chieti-Pescara Pescara Italy
Federica Piersimoni Agricultural Statistical Service Italian National Statistical Institute, ISTAT Rome Italy
ISSN 1430-9602 ISSN 2197-9375 (electronic) Advances in Spatial Science ISBN 978-3-662-46007-8 ISBN 978-3-662-46008-5 (eBook) DOI 10.1007/978-3-662-46008-5 Library of Congress Control Number: 2015933847 Springer Heidelberg New York Dordrecht London © Springer-Verlag Berlin Heidelberg 2015 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com)
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Preface
Although agriculture represents an increasingly marginal role in the world economy in terms of percentage of Gross Domestic Product, the radical economic and social transformations characterizing not only the Western but also the developing countries have recently caused a new and promising interest in this field. It is becoming increasingly difficult to provide reliable information to assist in making public policy decisions for monitoring the production of agricultural goods and its effect on the environment and food safety. Agricultural data collection programs can normally be classified as either census or sample surveys. A census is a survey which collects data from all members of a population. A sa
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