The book is concerned with the statistical theory for locating spatial sensors. It bridges the gap between spatial statistics and optimum design theory. After introductions to those two fields the topics of exploratory designs and designs for spatial trend and variogram estimation are treated. Special attention is devoted to describing new methodologies to cope with the problem of correlated observations. A great number of relevant references are collected and put into a common perspective. The theoretical investigations are accompanied by a practical example, the redesign of an Upper-Austrian air pollution monitoring network. A reader should be able to find respective theory and recommendations on how to efficiently plan a specific purpose spatial monitoring network. The third edition takes into account the rapid development in the area of spatial statistics by including new relevant research and references. The revised edition contains additional material on design for detecting spatial dependence and for estimating parametrized covariance functions.
Collecting Spatial Data
Werner G. Müller
Collecting Spatial Data Optimum Design of Experiments for Random Fields
Third Revised and Extended Edition
With 37 Figures and 8 Tables
123
Univ. Prof. Dr. Werner G. Müller Department of Applied Statistics Johannes Kepler University Linz Altenbergerstraße 69 4040 Linz Austria
[email protected]
Originally published in the series: Contributions to Statistics by Physica-Verlag Heidelberg, Germany
Library of Congress Control Number: 2007932411
ISBN 978-3-540-31174-4 3. Edition Springer Berlin Heidelberg New York ISBN 978-3-7908-1333-3 2. Edition Physica-Verlag He