Quantitative Methods in Environmental and Climate Research

This books presents some of the most recent and advanced statistical methods used to analyse environmental and climate data, and addresses the spatial and spatio-temporal dimensions of the phenomena studied, the multivariate complexity of the data, and th

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antitative Methods in Environmental and Climate Research

Quantitative Methods in Environmental and Climate Research

Michela Cameletti • Francesco Finazzi Editors

Quantitative Methods in Environmental and Climate Research

123

Editors Michela Cameletti Department of Management, Economics and Quantitative Methods University of Bergamo Bergamo, Italy

Francesco Finazzi Department of Management, Information and Production Engineering University of Bergamo Dalmine Bergamo, Italy

ISBN 978-3-030-01583-1 ISBN 978-3-030-01584-8 (eBook) https://doi.org/10.1007/978-3-030-01584-8 Library of Congress Control Number: 2018968083 © Springer Nature Switzerland AG 2018 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. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. This Springer imprint is published by the registered company Springer Nature Switzerland AG The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland

Preface

This volume presents the revised extended version of a selection of contributions submitted at the joint TIES-GRASPA 2017 Conference on Climate and Environment held at the University of Bergamo, Italy, from 24th to 26th of July 2017, as a satellite meeting of the 61st World Statistics Congress—ISI2017, in Marrakesh. The International Environmetrics Society (TIES, www.environmetrics.org) is a nonprofit organization aimed to foster the development and use of statistical and quantitative methods in the environmental sciences and environmental monitoring and protection. The Italian environmetricians group named GRASPA (www.graspa. org) is active since 1995, and it is a standing group of the Italian Statistical Society (SIS, https://www.sis-statistica.it/) for statistical applications to environmental problems. The theme for the TIES-GRASPA 2017 Conference was “climate and environment,” and the scientific program was a rich mix of methodological and applied topics presented through 59 ses