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Spatio-temporal Design: Advances in Efficient Data Acquisition - Hardcover

 
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Synopsis

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 interwoven throughout the chapters, providing various perspectives to illustrate a complete insight to the problem at hand.

Motivated by the high demand for statistical analysis of data that takes spatial and spatio-temporal information into account, this book incorporates ideas from the areas of time series, spatial statistics and stochastic processes, and combines them to discuss optimum spatio-temporal sampling design.

Spatio-temporal Design: Advances in Efficient Data Acquisition:

  • Provides an up-to-date account of how to collect space-time data for monitoring, with a focus on statistical aspects and the latest computational methods
  • Discusses basic methods and distinguishes between design and model-based approaches to collecting space-time data.
  • Features model-based frequentist design for univariate and multivariate geostatistics, and second-phase spatial sampling.
  • Integrates common data examples and case studies throughout the book in order to demonstrate the different approaches and their integration.
  • Includes real data sets, data generating mechanisms and simulation scenarios.
  • Accompanied by a supporting website featuring R code.

Spatio-temporal Design presents an excellent book for graduate level students as well as a valuable reference for researchers and practitioners in the fields of applied mathematics, engineering, and the environmental and health sciences.

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About the Author

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.

"About this title" may belong to another edition of this title.

  • PublisherWiley
  • Publication date2012
  • ISBN 10 047097429X
  • ISBN 13 9780470974292
  • BindingHardcover
  • LanguageEnglish
  • Edition number1
  • Number of pages384
  • EditorMateu Jorge, Müller Werner G.

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Published by Wiley, 2012
ISBN 10: 047097429X ISBN 13: 9780470974292
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