COLLECTING SPATIAL DATA: OPTIMUM DESIGN OF EXPERIMENTS FOR RANDOM FIELDS

Muller, Werner G.

ISBN 10: 3790811343 / ISBN 13: 9783790811346

Published by Physica-Verlag, 1998

About this Item

1st 1998. Almost very good condition. Contributions to Statistics series. Yellow cardwraps. Covers grubby and creased. Contents clean. Packaged with care and promptly dispatched!

Seller Inventory # 1820377

Bibliographic Details

• Title: COLLECTING SPATIAL DATA: OPTIMUM DESIGN OF EXPERIMENTS FOR RANDOM FIELDS
• Publisher: Physica-Verlag
• Publication Date: 1998
• ISBN 10: 3790811343
• ISBN 13: 9783790811346
• Binding: Softcover
• Edition: First edition.
• Condition: Very Good
• Dust Jacket Condition: No Jacket

About this title

Synopsis

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. A new methodology, so-called approximate information matrices, are employed 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. The reader will find respective theory and recommendations on how to efficiently plan a specific purpose spatial monitoring network.

From the Back Cover

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.