Time Series Modelling in Earth Sciences
Buy a book... In Association with Amazon.co.uk
Author(s): B. K. Sahu
Publisher: A.A. Balkema
ISBN: 9058092674
Format: hardback
283pp
Price: €109
Review Date: 18 August 2003
Review: This textbook deals with time series modelling for interpreting spatial and spatio-temporal data that are essentially dependent on previous values (samples). It explains how these time series models can be seasonal or nonseasonal (stationary or nonstationary), modelled as ARIMA or SARIMA, respectively. Nonlinear time series models, such as sudden bursts, threshold/exponential autoregressive, state–space models are used to solve more complex and realistic problems in earth sciences. Real geological case studies in economic geography, such as time series analysis of borehole assays and metal deposits in mines are included. Finally, techniques are described for more advanced and powerful advanced modelling for data forecasting, analysis and control. These have as yet not been applied to geological data analysis, but have potential for future use.