CRC Press - Time Series Modelling in Earth Sciences Book

Master the complexities of temporal data with Time Series Modelling in Earth Sciences by CRC Press. This comprehensive text is designed for students, faculty members, and professionals who possess a background in multivariate statistics. It provides a deep look into the latest theories and practical applications required to analyze environmental and geological data. The book covers a wide range of essential methodologies. You will learn about linear methods to produce ARIMA and SARIMA models, along with their multivariate vector extensions. Beyond linear approaches, the text explores non-linear methods, state-space models, dynamic linear models, wavelet analysis, volatility, and long memory models. To bridge the gap between theory and practice, the book includes several solved case studies and exercises. These practical examples are drawn from critical fields such as mining, ore genesis, earthquakes, and climatology. This makes it an essential resource for anyone looking to apply advanced statistical modeling to real-world earth science challenges.