Advanced Time Series Analysis In Geosciences
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Advanced Time Series Analysis In Geosciences
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Author : Flavio Cannavo’
language : en
Publisher: Frontiers Media SA
Release Date : 2021-05-12
Advanced Time Series Analysis In Geosciences written by Flavio Cannavo’ and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-12 with Science categories.
Advances In Nonlinear Geosciences
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Author : Anastasios A. Tsonis
language : en
Publisher: Springer
Release Date : 2017-10-13
Advances In Nonlinear Geosciences written by Anastasios A. Tsonis and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-10-13 with Science categories.
Advances in Nonlinear Geosciences is a set of contributions from the participants of “30 Years of Nonlinear Dynamics” held July 3-8, 2016 in Rhodes, Greece as part of the Aegean Conferences, as well as from several other experts in the field who could not attend the meeting. The volume brings together up-to-date research from the atmospheric sciences, hydrology, geology, and other areas of geosciences and presents the new advances made in the last 10 years. Topics include chaos synchronization, topological data analysis, new insights on fractals, multifractals and stochasticity, climate dynamics, extreme events, complexity, and causality, among other topics.
Time Series Modelling In Earth Sciences
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Author : B.K. Sahu
language : en
Publisher: CRC Press
Release Date : 2021-07-01
Time Series Modelling In Earth Sciences written by B.K. Sahu and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-01 with Technology & Engineering categories.
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.
A Primer On Fourier Analysis For The Geosciences
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Author : Robin Crockett
language : en
Publisher: Cambridge University Press
Release Date : 2019-02-14
A Primer On Fourier Analysis For The Geosciences written by Robin Crockett and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-14 with Mathematics categories.
An intuitive introduction to basic Fourier theory, with numerous practical applications from the geosciences and worked examples in R.
Matlab Recipes For Earth Sciences
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Author : Martin H. Trauth
language : en
Publisher: Springer
Release Date : 2015-02-17
Matlab Recipes For Earth Sciences written by Martin H. Trauth and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-02-17 with Science categories.
MATLAB® is used for a wide range of applications in geosciences, such as image processing in remote sensing, the generation and processing of digital elevation models and the analysis of time series. This book introduces methods of data analysis in geosciences using MATLAB, such as basic statistics for univariate, bivariate and multivariate datasets, time-series analysis, signal processing, the analysis of spatial and directional data and image analysis. The revised and updated Fourth Edition includes sixteen new sections and most chapters have greatly been expanded so that they now include a step by step discussion of all methods before demonstrating the methods with MATLAB functions. New sections include: Array Manipulation; Control Flow; Creating Graphical User Interfaces; Hypothesis Testing; Kolmogorov-Smirnov Test; Mann-Whitney Test; Ansari-Bradley Test; Detecting Abrupt Transitions in Time Series; Exporting 3D Graphics to Create Interactive Documents; Importing, Processing and Exporting LANDSAT Images; Importing and Georeferencing TERRA ASTER Images; Processing and Exporting EO-1 Hyperion Images; Image Enhancement; Correction and Rectification; Shape-Based Object Detection in Images; Discriminant Analysis; and Multiple Linear Regression. The text includes numerous examples demonstrating how MATLAB can be used on data sets from earth sciences. The book’s supplementary electronic material (available online through Springer Link) includes recipes that include all the MATLAB commands featured in the book and the example data.
Python Recipes For Earth Sciences
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Author : Martin H. Trauth
language : en
Publisher: Springer Nature
Release Date : 2024-10-07
Python Recipes For Earth Sciences written by Martin H. Trauth and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-07 with Science categories.
Python is used in a wide range of geoscientific applications, such as in processing images for remote sensing, in generating and processing digital elevation models, and in analyzing time series. This book introduces methods of data analysis in the geosciences using Python that include basic statistics for univariate, bivariate, and multivariate data sets, time series analysis, and signal processing; the analysis of spatial and directional data; and image analysis. The text includes numerous examples that demonstrate how Python can be used on data sets from the earth sciences. Codes are available online through GitHub.
Knowledge Discovery In Big Data From Astronomy And Earth Observation
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Author : Petr Skoda
language : en
Publisher: Elsevier
Release Date : 2020-04-09
Knowledge Discovery In Big Data From Astronomy And Earth Observation written by Petr Skoda and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-09 with Computers categories.
Knowledge Discovery in Big Data from Astronomy and Earth Observation: Astrogeoinformatics bridges the gap between astronomy and geoscience in the context of applications, techniques and key principles of big data. Machine learning and parallel computing are increasingly becoming cross-disciplinary as the phenomena of Big Data is becoming common place. This book provides insight into the common workflows and data science tools used for big data in astronomy and geoscience. After establishing similarity in data gathering, pre-processing and handling, the data science aspects are illustrated in the context of both fields. Software, hardware and algorithms of big data are addressed. Finally, the book offers insight into the emerging science which combines data and expertise from both fields in studying the effect of cosmos on the earth and its inhabitants.
Multitemporal Earth Observation Image Analysis
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Author : Clément Mallet
language : en
Publisher: John Wiley & Sons
Release Date : 2024-08-20
Multitemporal Earth Observation Image Analysis written by Clément Mallet and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-20 with Technology & Engineering categories.
Earth observation has witnessed a unique paradigm change in the last decade with a diverse and ever-growing number of data sources. Among them, time series of remote sensing images has proven to be invaluable for numerous environmental and climate studies. Multitemporal Earth Observation Image Analysis provides illustrations of recent methodological advances in data processing and information extraction from imagery, with an emphasis on the temporal dimension uncovered either by recent satellite constellations (in particular the Sentinels from the European Copernicus programme) or archival aerial images available in national archives. The book shows how complementary data sources can be efficiently used, how spatial and temporal information can be leveraged for biophysical parameter estimation, classification of land surfaces and object tracking, as well as how standard machine learning and state-of-the-art deep learning solutions can solve complex problems with real-world applications.
Dictionary Of Mathematical Geosciences
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Author : Richard J. Howarth
language : en
Publisher: Springer
Release Date : 2017-05-27
Dictionary Of Mathematical Geosciences written by Richard J. Howarth and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-05-27 with Science categories.
This dictionary includes a number of mathematical, statistical and computing terms and their definitions to assist geoscientists and provide guidance on the methods and terminology encountered in the literature. Each technical term used in the explanations can be found in the dictionary which also includes explanations of basics, such as trigonometric functions and logarithms. There are also citations from the relevant literature to show the term’s first use in mathematics, statistics, etc. and its subsequent usage in geosciences.
Multi Scale Spectral Analysis In Hydrology
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Author : Adarsh S
language : en
Publisher: CRC Press
Release Date : 2021-02-28
Multi Scale Spectral Analysis In Hydrology written by Adarsh S and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-28 with Mathematics categories.
Accurate prediction of hydrological variables is essential for efficient water resources planning and management. Proper understanding of the characteristics of the time series may help in improving the simulation and forecasting accuracy of hydrological variables. This book presents a detailed description and application of multiscale time-frequency characterization tool for the spectral analysis of hydrological time series. It presents spectral analysis methods for hydrological applications through a wide variety of illustrative case studies including Wavelet transforms, Hilbert Huang Transform and their extensions.