Collecting Spatial Data: Optimum Design of Experiments for Random Fields
Müller, Werner G.
Sold by ALLBOOKS1, Direk, SA, Australia
AbeBooks Seller since 13 December 2023
New - Hardcover
Condition: New
Quantity: 1 available
Add to basketSold by ALLBOOKS1, Direk, SA, Australia
AbeBooks Seller since 13 December 2023
Condition: New
Quantity: 1 available
Add to basketBrand new book. Fast ship. Please provide full street address as we are not able to ship to P O box address.
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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.
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.
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