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Pursuing a hot area of research, ''Statistical Methods for Spatio-Temporal Systems'' provides comprehensive coverage of spatio-temporal models, prevalent in the study of real systems. Research in this subject has exploded in recent years, with new methods and applications constantly in development. With each chapter contributed by a leading researcher in the field, this book features seven accounts on key features such as point processes, dynamics, modeling, data analysis, Bayesian methods, and geostatistics. It includes real examples, case studies, software, and applications from epidemiology and geology, as well as climatology. This text also includes illustrative color figures.
