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Spatio-Temporal Design: Advances in Efficient Data Acquisition by Jorge Mateu

Spatio-Temporal Design: Advances in Efficient Data Acquisition

by Jorge Mateu
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Book cover type: Hardcover
  • ISBN13: 9780470974292
  • Binding: Hardcover
  • Subject: N/A
  • Publisher: Wiley
  • Publisher Imprint: Wiley
  • Publication Date:
  • Pages: 370
  • Original Price: USD 109.95
  • Language: English
  • Edition: N/A
  • Item Weight: 545 grams
  • BISAC Subject(s): Probability & Statistics / General

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.

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.

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