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This book provides an essential appraisal of the recent advances in technologies, mathematical models and computational software used by those working with geodetic data.
The Art and Science of Trajectory Modelling.- Introduction to Geodetic Time Series Analysis.- Markov Chain Monte Carlo and The Application to Geodetic Time Series Analysis.- Introduction to Dynamic Linear Models for Time Series Analysis.- Fast Statistical Approaches to Geodetic Time Series Analysis.- Least Squares Contribution to Geodetic Time Series Analysis.- Modelling the GNSS Time Series: Different Approaches to Extract Seasonal Signals.- Stochastic modelling of geophysical signal constituents within a Kalman Filter framework.- Filtering of GPS Time Series Using Geophysical Models and Common Mode Error Analysis.- Comparison of Spacewise and Timewise Methods for GRACE Gravity Field Recovery.- Estimation of the Vertical Land Motion from GNSS Time Series and Application in Quantifying Sea-Level Rise.- Time Series Analysis of Rapid GNSS Measurements for Quasi-Static and Dynamic Bridge Monitoring.- Conclusions and Future challenges in Geodetic Time Series Analysis.