Jorge Mateu & Werner G. Müller 
Spatio-temporal Design [EPUB ebook] 
Advances in Efficient Data Acquisition

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.

Circa l’autore

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.