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Spatio-temporal design : advances in efficient data acquisition

Author: Jorge Mateu; W G Müller
Publisher: Chichester, West Sussex, United Kingdom : Wiley, 2013.
Series: Statistics in practice.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
A state-of-the-art presentation of optimum spatio-temporal sampling design - bridging classic ideas with modern statistical modeling concepts and the latest computational methods. Spatio-temporal Design presents a comprehensive state-of-the-art presentation combining both classical and modern treatments of network design and planning for spatial and spatio-temporal data acquisition. A common problem set is  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Spatio-temporal design
(DLC) 2012027161
(OCoLC)824530532
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Jorge Mateu; W G Müller
ISBN: 9781118441862 1118441869 9781118441886 1118441885 9781118441893 1118441893
OCLC Number: 822967357
Description: 1 online resource (xx, 349 pages) : illustrations (some color), maps (some color).
Contents: Collecting Spatio-Temporal Data / Jorge Mateu, Werner G Muller --
Model-Based Frequentist Design for Univariate and Multivariate Geostatistics / Dale L Zimmerman, Jie Li --
Model-Based Criteria Heuristics for Second-Phase Spatial Sampling / Eric M Delmelle --
Spatial sampling design by means of spectral approximations to the error process / Gunter Spock, Jurgen Pilz --
Entropy-Based Network Design Using Hierarchical Bayesian Kriging / Baisuo Jin, Yuehua Wu, Baiqi Miao --
Accounting for Design in the Analysis of Spatial Data / Brian J Reich, Montserrat Fuentes --
Spatial Design for Knot Selection in Knot-Based Dimension Reduction Models / Alan E Gelfand, Sudipto Banerjee, Andrew O Finley --
Exploratory Designs for Assessing Spatial Dependence / Agnes Fussl, Werner G Muller, Juan Rodriguez-Diaz --
Sampling Design Optimization for Space-Time Kriging / Gerard B M Heuvelink, Daniel A Griffith, Tomislav Hengl, Stephanie J Melles --
Space-Time Adaptive Sampling and Data Transformations / Jose M Angulo, Maria C Bueso, Francisco J Alonso --
Adaptive Sampling Design for Spatio-Temporal Prediction / Thomas R Fanshawe, Peter J Diggle --
Semiparametric Dynamic Design of Monitoring Networks for Non-Gaussian Spatio-Temporal Data / Scott H Holan, Christopher K Wikle --
Active Learning for Monitoring Network Optimization / Devis Tuia, Alexei Pozdnoukhov, Loris Foresti, Mikhail Kanevski --
Stationary Sampling Designs Based on Plume Simulations / Kristina B Helle, Edzer Pebesma --
Index --
Statistics in Practice --
Supplemental Images.
Series Title: Statistics in practice.
Responsibility: edited by Jorge Mateu, Department of Mathematics of the University Jaume I of Castellon, Spain, Werner G. Müller, Department of Applied Statistics, Johannes Kepler University Linz, Austria.

Abstract:

Bridging classic ideas with modern statistical modeling concepts and the latest computational methods, Spatio-temporal Design offers a state-of-the-art account of how to collect space-time data for  Read more...

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