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.