Spatio-temporal Design

Zusatztext

<p><b>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.</b></p><p><i>Spatio-temporal Design</i> 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.</p><p>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.</p><p><i>Spatio-temporal Design: Advances in Efficient Data Acquisition</i>:</p><ul><li>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</li><li>Discusses basic methods and distinguishes between design and model-based approaches to collecting space-time data.</li><li>Features model-based frequentist design for univariate and multivariate geostatistics, and second-phase spatial sampling.</li><li>Integrates common data examples and case studies throughout the book in order to demonstrate the different approaches and their integration.</li><li>Includes real data sets, data generating mechanisms and simulation scenarios.</li><li>Accompanied by a supporting website featuring R code.</li></ul><p><i>Spatio-temporal Design</i> 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.</p>

Autorenportrait

<p><b>Jorge Mateu</b>, Department of Mathematics of the University Jaume I of Castellon, Spain,</p><p><b>Werner G. Müller</b>, Department of Applied Statistics, Johannes Kepler University Linz, Austria.</p>

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