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Collecting Spatial Data: Optimum Design of Experiments for Random Fields

Autor Werner G. Müller
en Limba Engleză Paperback – 14 oct 2010

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Paperback (1) 62015 lei  6-8 săpt.
  Springer Berlin, Heidelberg – 14 oct 2010 62015 lei  6-8 săpt.
Hardback (1) 62411 lei  6-8 săpt.
  Springer Berlin, Heidelberg – 29 aug 2007 62411 lei  6-8 săpt.

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Specificații

ISBN-13: 9783642068294
ISBN-10: 3642068294
Pagini: 256
Ilustrații: XII, 242 p. 37 illus.
Dimensiuni: 155 x 235 x 13 mm
Greutate: 0.36 kg
Ediția:Softcover reprint of hardcover 3rd ed. 2007
Editura: Springer Berlin, Heidelberg
Colecția Springer
Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Professional/practitioner

Cuprins

Fundamentals of Spatial Statistics.- Fundamentals of Experimental Design.- Exploratory Designs.- Designs for Spatial Trend Estimation.- Design and Dependence.- Multipurpose Designs.

Recenzii

From the reviews of the third edition:
"Collecting Spatial Data signifies … the state of the art of the design of spatial networks. … the monograph is well focused on the important problem of spatial sampling. … The book will continue to be a stalwart reference for practitioners in the field of spatial estimation and a thorough introduction for graduate students in the field. This third edition nicely fulfills the aim … of providing an overview of classical and recent methods for the efficient collection of spatial data." (Michael Manton, Eos, Vol. 89 (15), 2008)

Textul de pe ultima copertă

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.
 

Caracteristici

Book bridges the gap between spatial statistics and optimum design theory New edition includes new relevant research and references Includes supplementary material: sn.pub/extras