Time Series Modelling In Earth Sciences PDF Download
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| Author | : B.K. Sahu |
| Publisher | : CRC Press |
| Total Pages | : 294 |
| Release | : 2021-06-30 |
| Genre | : Technology & Engineering |
| ISBN | : 1000443825 |
Download Time Series Modelling in Earth Sciences Book in PDF, ePub and Kindle
Including the latest theories and applications of time series modelling, this book is intended for students, faculties and professionals with a background in multivariate statistics. Highlighting linear methods to yield ARIMA, SARIMA models and their multivariate (vector) extensions, the text also draws attention to non-linear methods, as well as state-space, dynamic linear, wavelet, volatility and long memory models. Also included are several solved case studies and exercises from the fields of mining, ore genesis, earthquakes, and climatology.
| Author | : Jean-Philippe Montillet |
| Publisher | : Springer |
| Total Pages | : 422 |
| Release | : 2019-08-16 |
| Genre | : Science |
| ISBN | : 3030217183 |
Download Geodetic Time Series Analysis in Earth Sciences Book in PDF, ePub and Kindle
This book provides an essential appraisal of the recent advances in technologies, mathematical models and computational software used by those working with geodetic data. It explains the latest methods in processing and analyzing geodetic time series data from various space missions (i.e. GNSS, GRACE) and other technologies (i.e. tide gauges), using the most recent mathematical models. The book provides practical examples of how to apply these models to estimate seal level rise as well as rapid and evolving land motion changes due to gravity (ice sheet loss) and earthquakes respectively. It also provides a necessary overview of geodetic software and where to obtain them.
| Author | : B.K. Sahu |
| Publisher | : CRC Press |
| Total Pages | : 304 |
| Release | : 2021-07-01 |
| Genre | : Technology & Engineering |
| ISBN | : 1000445828 |
Download Time Series Modelling in Earth Sciences Book in PDF, ePub and Kindle
Including the latest theories and applications of time series modelling, this book is intended for students, faculties and professionals with a background in multivariate statistics. Highlighting linear methods to yield ARIMA, SARIMA models and their multivariate (vector) extensions, the text also draws attention to non-linear methods, as well as state-space, dynamic linear, wavelet, volatility and long memory models. Also included are several solved case studies and exercises from the fields of mining, ore genesis, earthquakes, and climatology.
| Author | : K.W. Hipel |
| Publisher | : Elsevier |
| Total Pages | : 1053 |
| Release | : 1994-04-07 |
| Genre | : Technology & Engineering |
| ISBN | : 0080870368 |
Download Time Series Modelling of Water Resources and Environmental Systems Book in PDF, ePub and Kindle
This is a comprehensive presentation of the theory and practice of time series modelling of environmental systems. A variety of time series models are explained and illustrated, including ARMA (autoregressive-moving average), nonstationary, long memory, three families of seasonal, multiple input-single output, intervention and multivariate ARMA models. Other topics in environmetrics covered in this book include time series analysis in decision making, estimating missing observations, simulation, the Hurst phenomenon, forecasting experiments and causality. Professionals working in fields overlapping with environmetrics - such as water resources engineers, environmental scientists, hydrologists, geophysicists, geographers, earth scientists and planners - will find this book a valuable resource. Equally, environmetrics, systems scientists, economists, mechanical engineers, chemical engineers, and management scientists will find the time series methods presented in this book useful.
| Author | : Zhihua Zhang |
| Publisher | : Springer |
| Total Pages | : 293 |
| Release | : 2017-11-09 |
| Genre | : Science |
| ISBN | : 3319673408 |
Download Multivariate Time Series Analysis in Climate and Environmental Research Book in PDF, ePub and Kindle
This book offers comprehensive information on the theory, models and algorithms involved in state-of-the-art multivariate time series analysis and highlights several of the latest research advances in climate and environmental science. The main topics addressed include Multivariate Time-Frequency Analysis, Artificial Neural Networks, Stochastic Modeling and Optimization, Spectral Analysis, Global Climate Change, Regional Climate Change, Ecosystem and Carbon Cycle, Paleoclimate, and Strategies for Climate Change Mitigation. The self-contained guide will be of great value to researchers and advanced students from a wide range of disciplines: those from Meteorology, Climatology, Oceanography, the Earth Sciences and Environmental Science will be introduced to various advanced tools for analyzing multivariate data, greatly facilitating their research, while those from Applied Mathematics, Statistics, Physics, and the Computer Sciences will learn how to use these multivariate time series analysis tools to approach climate and environmental topics.
| Author | : Victor Privalsky |
| Publisher | : Springer Nature |
| Total Pages | : 253 |
| Release | : 2020-11-22 |
| Genre | : Science |
| ISBN | : 3030580555 |
Download Time Series Analysis in Climatology and Related Sciences Book in PDF, ePub and Kindle
This book gives the reader the basic knowledge of the theory of random processes necessary for applying to study climatic time series. It contains many examples in different areas of time series analysis such as autoregressive modelling and spectral analysis, linear extrapolation, simulation, causality, relations between scalar components of multivariate time series, and reconstructions of climate data. As an important feature, the book contains many practical examples and recommendations about how to deal and how not to deal with applied problems of time series analysis in climatology or any other science where the time series are short.
| Author | : Martin H. Trauth |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 294 |
| Release | : 2007 |
| Genre | : Computers |
| ISBN | : 3540727485 |
Download MATLAB® Recipes for Earth Sciences Book in PDF, ePub and Kindle
Introduces methods of data analysis in geosciences using MATLAB such as basic statistics for univariate, bivariate and multivariate datasets, jackknife and bootstrap resampling schemes, processing of digital elevation models, gridding and contouring, geostatistics and kriging, processing and georeferencing of satellite images, digitizing from the screen, linear and nonlinear time-series analysis and the application of linear time-invariant and adaptive filters. Includes a brief description of each method and numerous examples demonstrating how MATLAB can be used on data sets from earth sciences.
| Author | : Chunyan Li |
| Publisher | : Cambridge University Press |
| Total Pages | : 483 |
| Release | : 2022-05-05 |
| Genre | : Computers |
| ISBN | : 1108474276 |
Download Time Series Data Analysis in Oceanography Book in PDF, ePub and Kindle
Textbook for students and researchers in oceanography and Earth science on theory and practice of time series analysis using MATLAB.
| Author | : Alejandro Ramírez-Rojas |
| Publisher | : Elsevier |
| Total Pages | : 406 |
| Release | : 2019-08-02 |
| Genre | : Science |
| ISBN | : 0128149027 |
Download Time Series Analysis in Seismology Book in PDF, ePub and Kindle
Time Series Analysis in Seismology: Practical Applications provides technical assistance and coverage of available methods to professionals working in the field of seismology. Beginning with a thorough review of open problems in geophysics, including tectonic plate dynamics, localization of solitons, and forecasting, the book goes on to describe the various types of time series or punctual processes obtained from those systems. Additionally, the book describes a variety of methods and techniques relating to seismology and includes a discussion of future developments and improvements. Time Series Analysis in Seismology offers a concise presentation of the most recent advances in the analysis of geophysical data, particularly with regard to seismology, making it a valuable tool for researchers and students working in seismology and geophysics. Presents the necessary tools for time series analysis as it relates to seismology in a compact and consistent manner Includes a discussion of technical resources that can be applied to time series data analysis across multiple disciplines Describes the methods and techniques available for solving problems related to the analysis of complex data sets Provides exercises at the end of each chapter to enhance comprehension
| Author | : Manfred Mudelsee |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 497 |
| Release | : 2010-08-26 |
| Genre | : Science |
| ISBN | : 9048194822 |
Download Climate Time Series Analysis Book in PDF, ePub and Kindle
Climate is a paradigm of a complex system. Analysing climate data is an exciting challenge, which is increased by non-normal distributional shape, serial dependence, uneven spacing and timescale uncertainties. This book presents bootstrap resampling as a computing-intensive method able to meet the challenge. It shows the bootstrap to perform reliably in the most important statistical estimation techniques: regression, spectral analysis, extreme values and correlation. This book is written for climatologists and applied statisticians. It explains step by step the bootstrap algorithms (including novel adaptions) and methods for confidence interval construction. It tests the accuracy of the algorithms by means of Monte Carlo experiments. It analyses a large array of climate time series, giving a detailed account on the data and the associated climatological questions. This makes the book self-contained for graduate students and researchers.
