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Collecting Spatial Data [electronic resource] :Optimum Design of Experiments for Random Fields / by Werner G. Müller.

by Müller, Werner G [author.]; SpringerLink (Online service).
Material type: materialTypeLabelBookPublisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2007.Edition: Third Revised and Extended Edition.Description: XII, 242 p. 37 illus. online resource.ISBN: 9783540311751.Subject(s): Statistics | Economics -- Statistics | Environmental sciences | Statistics | Regional Science | Statistics for Engineering, Physics, Computer Science, Chemistry & Geosciences | Math. Appl. in Environmental Science | Math. Applications in Geosciences | Statistics for Business/Economics/Mathematical Finance/InsuranceDDC classification: 338.9 Online resources: Click here to access online
Contents:
Fundamentals of Spatial Statistics -- Fundamentals of Experimental Design -- Exploratory Designs -- Designs for Spatial Trend Estimation -- Design and Dependence -- Multipurpose Designs.
In: Springer eBooksSummary: 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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Fundamentals of Spatial Statistics -- Fundamentals of Experimental Design -- Exploratory Designs -- Designs for Spatial Trend Estimation -- Design and Dependence -- Multipurpose Designs.

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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