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MATLAB® Recipes for Earth Sciences

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Author :
Release : 2007
Genre : Computers
Kind : eBook
Book Rating : 485/5 ( reviews)

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Book Synopsis MATLAB® Recipes for Earth Sciences by : Martin H. Trauth

Download or read book MATLAB® Recipes for Earth Sciences written by Martin H. Trauth. This book was released on 2007. Available in PDF, EPUB and Kindle. Book excerpt: 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.

MATLAB® Recipes for Earth Sciences

Download MATLAB® Recipes for Earth Sciences PDF Online Free

Author :
Release : 2007-10-13
Genre : Science
Kind : eBook
Book Rating : 493/5 ( reviews)

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Book Synopsis MATLAB® Recipes for Earth Sciences by : Martin Trauth

Download or read book MATLAB® Recipes for Earth Sciences written by Martin Trauth. This book was released on 2007-10-13. Available in PDF, EPUB and Kindle. Book excerpt: MATLAB® is used in a wide range of applications in geosciences, such as image processing in remote sensing, 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, 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. The revised and updated Second Edition includes new subchapters on windowed Blackman-Tukey, Lomb-Scargle and Wavelet powerspectral analysis, statistical analysis of point distributions and digital elevation models, and a full new chapter on the statistical analysis of directional data. The text includes a brief description of each method and numerous examples demonstrating how MATLAB can be used on data sets from earth sciences. All MATLAB recipes can be easily modified in order to analyse the reader's own data sets.

MATLAB® Recipes for Earth Sciences

Download MATLAB® Recipes for Earth Sciences PDF Online Free

Author :
Release : 2006-02-13
Genre : Science
Kind : eBook
Book Rating : 830/5 ( reviews)

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Book Synopsis MATLAB® Recipes for Earth Sciences by : Martin Trauth

Download or read book MATLAB® Recipes for Earth Sciences written by Martin Trauth. This book was released on 2006-02-13. Available in PDF, EPUB and Kindle. Book excerpt: MATLAB is used in a wide range of applications in geosciences, such as image processing in remote sensing, generation and processing of digital elevation models and the analysis of time series. This book introduces basic methods of data analysis in geosciences using MATLAB. The text includes a brief description of each method and numerous examples demonstrating how MATLAB can be used on data sets from earth sciences. All MATLAB recipes can be easily modified in order to analyse the reader's own data sets.

Collecting, Processing and Presenting Geoscientific Information

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Author :
Release : 2018-03-26
Genre : Science
Kind : eBook
Book Rating : 030/5 ( reviews)

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Book Synopsis Collecting, Processing and Presenting Geoscientific Information by : Martin H. Trauth

Download or read book Collecting, Processing and Presenting Geoscientific Information written by Martin H. Trauth. This book was released on 2018-03-26. Available in PDF, EPUB and Kindle. Book excerpt: This second edition is an intensively revised and updated version of the book MATLAB® and Design Recipes for Earth Sciences. It aims to introduce students to the typical course followed by a data analysis project in earth sciences. A project usually involves searching relevant literature, reviewing and ranking published books and journal articles, extracting relevant information from the literature in the form of text, data, or graphs, searching and processing the relevant original data using MATLAB, and compiling and presenting the results as posters, abstracts, and oral presentations using graphics design software. The text of this book includes numerous examples on the use of internet resources, on the visualization of data with MATLAB, and on preparing scientific presentations. As with the book MATLAB Recipes for Earth Sciences–4rd Edition (2015), which demonstrates the use of statistical and numerical methods on earth science data, this book uses state-of-the art software packages, including MATLAB and the Adobe Creative Suite, to process and present geoscientific information collected during the course of an earth science project. The book's supplementary electronic material (available online through the publisher's website) includes color versions of all figures, recipes with all the MATLAB commands featured in the book, the example data, exported MATLAB graphics, and screenshots of the most important steps involved in processing the graphics.

Signal and Noise in Geosciences

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Author :
Release : 2021-11-06
Genre : Science
Kind : eBook
Book Rating : 134/5 ( reviews)

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Book Synopsis Signal and Noise in Geosciences by : Martin H. Trauth

Download or read book Signal and Noise in Geosciences written by Martin H. Trauth. This book was released on 2021-11-06. Available in PDF, EPUB and Kindle. Book excerpt: This textbook introduces methods of geoscientific data acquisition using MATLAB in combination with inexpensive data acquisition hardware such as sensors in smartphones, sensors that come with the LEGO MINDSTORMS set, webcams with stereo microphones, and affordable spectral and thermal cameras. The text includes 35 exercises in data acquisition, such as using a smartphone to acquire stereo images of rock specimens from which to calculate point clouds, using visible and near-infrared spectral cameras to classify the minerals in rocks, using thermal cameras to differentiate between different types of surface such as between soil and vegetation, localizing a sound source using travel time differences between pairs of microphones to localize a sound source, quantifying the total harmonic distortion and signal-to-noise ratio of acoustic and elastic signals, acquiring and streaming meteorological data using application programming interfaces, wireless networks, and internet of things platforms, determining the spatial resolution of ultrasonic and optical sensors, and detecting magnetic anomalies using a smartphone magnetometer mounted on a LEGO MINDSTORMS scanner. The book’s electronic supplementary material (available online through Springer Link) contains recipes that include all the MATLAB commands featured in the book, the example data, the LEGO construction plans, photos and videos of the measurement procedures.

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