Collecting Spatio-Temporal Data / Jorge Mateu, Werner G Muller -- Model-Based Frequentist Design for Univariate and Multivariate Geostatistics / Dale L Zimmerman, Jie Li -- Model-Based Criteria Heuristics for Second-Phase Spatial Sampling / Eric M Delmelle -- Spatial sampling design by means of spectral approximations to the error process / Gunter Spock, Jurgen Pilz -- Entropy-Based Network Design Using Hierarchical Bayesian Kriging / Baisuo Jin, Yuehua Wu, Baiqi Miao -- Accounting for Design in the Analysis of Spatial Data / Brian J Reich, Montserrat Fuentes -- Spatial Design for Knot Selection in Knot-Based Dimension Reduction Models / Alan E Gelfand, Sudipto Banerjee, Andrew O Finley -- Exploratory Designs for Assessing Spatial Dependence / Agnes Fussl, Werner G Muller, Juan Rodriguez-Diaz -- Sampling Design Optimization for Space-Time Kriging / Gerard B M Heuvelink, Daniel A Griffith, Tomislav Hengl, Stephanie J Melles -- Space-Time Adaptive Sampling and Data Transformations / Jose M Angulo, Maria C Bueso, Francisco J Alonso -- Adaptive Sampling Design for Spatio-Temporal Prediction / Thomas R Fanshawe, Peter J Diggle -- Semiparametric Dynamic Design of Monitoring Networks for Non-Gaussian Spatio-Temporal Data / Scott H Holan, Christopher K Wikle -- Active Learning for Monitoring Network Optimization / Devis Tuia, Alexei Pozdnoukhov, Loris Foresti, Mikhail Kanevski -- Stationary Sampling Designs Based on Plume Simulations / Kristina B Helle, Edzer Pebesma -- Index -- Statistics in Practice -- Supplemental Images.

Includes bibliographical references and index.

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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 stat.