Spatio-Temporal Design: Advances in Efficient Data Acquisition

Spatio-Temporal Design: Advances in Efficient Data Acquisition

Editor(s): Jorge Mateu, Werner G. Müller

Published Online: 11 OCT 2012

Print ISBN: 9780470974292

Online ISBN: 9781118441862

DOI: 10.1002/9781118441862

About this Book

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.

Table of contents

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    2. Chapter 9

      Sampling Design Optimization for Space-Time Kriging (pages 207–230)

      Gerard B. M. Heuvelink, Daniel A. Griffith, Tomislav Hengl and Stephanie J. Melles

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