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Titlebook: Collecting Spatial Data; Optimum Design of Ex Werner G. Müller Book 2007Latest edition Springer-Verlag Berlin Heidelberg 2007 Environmental

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书目名称Collecting Spatial Data
副标题Optimum Design of Ex
编辑Werner G. Müller
视频videohttp://file.papertrans.cn/230/229538/229538.mp4
概述Book bridges the gap between spatial statistics and optimum design theory.New edition includes new relevant research and references.Includes supplementary material:
图书封面Titlebook: Collecting Spatial Data; Optimum Design of Ex Werner G. Müller Book 2007Latest edition Springer-Verlag Berlin Heidelberg 2007 Environmental
描述.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... .
出版日期Book 2007Latest edition
关键词Environmental Monitoring; Experimental Design; Exploratory Design; Sensor Location; Spatial Data; Spatial
版次3
doihttps://doi.org/10.1007/978-3-540-31175-1
isbn_softcover978-3-642-06829-4
isbn_ebook978-3-540-31175-1
copyrightSpringer-Verlag Berlin Heidelberg 2007
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Sheridan and Goldsmith: Heavenly Twins,ioneering monograph by Fisher (1935). Therein the emphasis is laid on detecting the influences of discrete factors leading to heavy use of combinatorial principles in the construction of the experimental designs (e.g. Latin squares, Balanced Incomplete Block Designs etc.). A whole branch of theory f
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Ulrike Tabbert,Mahmood K. Ibrahim Fedorov (1996)). First, spatial observations are often determined by local correlations, which are unaccounted for by standard . techniques as presented in Chapter 3. Second, at least in the framework of our basic random field model (2.1), there is implicitly no possibility for instantaneously repl
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Ulrike Tabbert,Mahmood K. Ibrahimot. Should they be spatially independent, the respective statistical design and analysis usually reduces to the application of a classical and well established toolbox (cf. Chapter 3). Thus, the decision of whether one can confine oneself to this well understood body of knowledge or whether one has
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