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Jorge Mateu - Geostatistical Functional Data Analysis

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Geostatistical Functional Data Analysis

Explore the intersection between geostatistics and functional data analysis with this insightful new reference

Geostatistical Functional Data Analysis presents a unified approach to modelling functional data when spatial and spatio-temporal correlations are present. The Editors link together the wide research areas of geostatistics and functional data analysis to provide the reader with a new area called geostatistical functional data analysis that will bring new insights and new open questions to researchers coming from both scientific fields. This book provides a complete and up-to-date account to deal with functional data that is spatially correlated, but also includes the most innovative developments in different open avenues in this field.

Containing contributions from leading experts in the field, this practical guide provides readers with the necessary tools to employ and adapt classic statistical techniques to handle spatial regression. The book also includes:

  • A thorough introduction to the spatial kriging methodology when working with functions
  • A detailed exposition of more classical statistical techniques adapted to the functional case and extended to handle spatial correlations
  • Practical discussions of ANOVA, regression, and clustering methods to explore spatial correlation in a collection of curves sampled in a region
  • In-depth explorations of the similarities and differences between spatio-temporal data analysis and functional data analysis

Aimed at mathematicians, statisticians, postgraduate students, and researchers involved in the analysis of functional and spatial data, Geostatistical Functional Data Analysis will also prove to be a powerful addition to the libraries of geoscientists, environmental scientists, and economists seeking insightful new knowledge and questions at the interface of geostatistics and functional data analysis.

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Table of Contents List of Tables Chapter 3 Chapter 8 Chapter 9 Chapter - photo 1
Table of Contents
List of Tables
  1. Chapter 3
  2. Chapter 8
  3. Chapter 9
  4. Chapter 12
  5. Chapter 13
  6. Chapter 14
  7. Chapter 15
List of Illustrations
  1. Chapter 2
  2. Chapter 3
  3. Chapter 4
  4. Chapter 5
  5. Chapter 6
  6. Chapter 7
  7. Chapter 8
  8. Chapter 9
  9. Chapter 10
  10. Chapter 11
  11. Chapter 12
  12. Chapter 13
  13. Chapter 14
  14. Chapter 15
  15. Chapter 16
Guide
Pages
WILEY SERIES IN PROBABILITY AND STATISTICS

Established by Walter A. Shewhart and Samuel S. Wilks

The Wiley Series in Probability and Statistics is well established and authoritative. It covers many topics of current research interest in both pure and applied statistics and probability theory. Written by leading statisticians and institutions, the titles span both state-of-the-art developments in the field and classical methods.

Reflecting the wide range of current research in statistics, the series encompasses applied, methodological and theoretical statistics, ranging from applications and new techniques made possible by advances in computerized practice to rigorous treatment of theoretical approaches. This series provides essential and invaluable reading for all statisticians, whether in academia, industry, government, or research.

A complete list of titles in this series can be found at http://www.wiley.com/go/wsps

Geostatistical Functional Data Analysis

Edited by

Jorge Mateu
University Jaume I of Castellon
Castellon, Spain

Ramn Giraldo
National University of Colombia
Bogota, Colombia

This edition first published 2022 2022 John Wiley Sons Ltd All rights - photo 2

This edition first published 2022
2022 John Wiley & Sons Ltd

All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, electronic, mechanical, photocopying, recording or otherwise, except as permitted by law. Advice on how to obtain permission to reuse material from this title is available at http://www.wiley.com/go/permissions.

The right of Jorge Mateu and Ramn Giraldo to be identified as the authors of the editorial material in this work has been asserted in accordance with law.

Registered Offices
John Wiley & Sons, Inc., 111 River Street, Hoboken, NJ 07030, USA
John Wiley & Sons Ltd, The Atrium, Southern Gate, Chichester, West Sussex, PO19 8SQ, UK

Editorial Office
9600 Garsington Road, Oxford, OX4 2DQ, UK

For details of our global editorial offices, customer services, and more information about Wiley products visit us at www.wiley.com.

Wiley also publishes its books in a variety of electronic formats and by print-on-demand. Some content that appears in standard print versions of this book may not be available in other formats.

Limit of Liability/Disclaimer of Warranty
The contents of this work are intended to further general scientific research, understanding, and discussion only and are not intended and should not be relied upon as recommending or promoting scientific method, diagnosis, or treatment by physicians for any particular patient. In view of ongoing research, equipment modifications, changes in governmental regulations, and the constant flow of information relating to the use of medicines, equipment, and devices, the reader is urged to review and evaluate the information provided in the package insert or instructions for each medicine, equipment, or device for, among other things, any changes in the instructions or indication of usage and for added warnings and precautions. While the publisher and authors have used their best efforts in preparing this work, they make no representations or warranties with respect to the accuracy or completeness of the contents of this work and specifically disclaim all warranties, including without limitation any implied warranties of merchantability or fitness for a particular purpose. No warranty may be created or extended by sales representatives, written sales materials or promotional statements for this work. The fact that an organization, website, or product is referred to in this work as a citation and/or potential source of further information does not mean that the publisher and authors endorse the information or services the organization, website, or product may provide or recommendations it may make. This work is sold with the understanding that the publisher is not engaged in rendering professional services. The advice and strategies contained herein may not be suitable for your situation. You should consult with a specialist where appropriate. Further, readers should be aware that websites listed in this work may have changed or disappeared between when this work was written and when it is read. Neither the publisher nor authors shall be liable for any loss of profit or any other commercial damages, including but not limited to special, incidental, consequential, or other damages.

Library of Congress Cataloging-in-Publication Data

Names: Mateu, Jorge, editor. | Giraldo, Ramn, editor.

Title: Geostatistical functional data analysis / edited by Jorge Mateu, Ramn Giraldo.

Description: Hoboken, NJ : Wiley, 2022. | Series: Wiley series in probability and statistics | Includes bibliographical references and index.

Identifiers: LCCN 2021015788 (print) | LCCN 2021015789 (ebook) | ISBN 9781119387848 (hardback) | ISBN 9781119387909 (adobe pdf) | ISBN 9781119387886 (epub)

Subjects: LCSH: GeologyStatistical methods. | Kriging. | Spatial analysis (Statistics) | Functional analysis.

Classification: LCC QE33.2.S82 G434 2022 (print) | LCC QE33.2.S82 (ebook) | DDC 551.072/7dc23

LC record available at https://lccn.loc.gov/2021015788

LC ebook record available at https://lccn.loc.gov/2021015789

Cover Design: Wiley

Cover Image: Googee/Shutterstock

List of Contributors

Ana M. Aguilera
University of Granada
Department of Statistics and Operational Research
Spain

Mohamed-Salem Ahmed
University of Lille
France

Mara S. Bernardi
Politecnico di Milano
MOX - Department of Mathematics
Italy

Gregory Bopp
Pennsylvania State University
Department of Statistics
USA

Martha Bohorquez
National University of Colombia
Department of Statistics
Colombia

Laurence Broze
University of Lille
France

Mara del Carmen Aguilera Morillo
Universitat Politcnica de Valncia
Department of Statistics and Operational Research and Quality
Spain

Sophie Dabo-Niang
University of Lille
France

Maria Durban
Universidad Carlos III
Department of Statistics
Spain

John Ensley
Pennsylvania State University
Department of Statistics
USA

Maria Franco-Villoria
Universit di Modena e Reggio Emilia
Department of Economics Marco Biagi
Italy

Zied Gharbi
University of Lille
France

Ramn Giraldo
National University of Colombia
Department of Statistics
Colombia

Alberto Guadagnini
Politecnico di Milano
Department of Civil and Environmental Engineering
Italy

and

The University of Arizona
Department of Hydrology and Atmospheric Sciences
USA

Rosaria Ignaccolo
Universit degli Studi di Torino

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