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:
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.
"synopsis" may belong to another edition of this title.
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.
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