MATLAB® Recipes for Earth Sciences

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Author :
Publisher : Springer Science & Business Media
ISBN 13 : 3540727485
Total Pages : 294 pages
Book Rating : 4.84/5 ( download)

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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 and published by Springer Science & Business Media. This book was released on 2007 with total page 294 pages. 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

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Author :
Publisher : Springer Science & Business Media
ISBN 13 : 3540727493
Total Pages : 293 pages
Book Rating : 4.91/5 ( download)

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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 and published by Springer Science & Business Media. This book was released on 2007-10-13 with total page 293 pages. 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

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Author :
Publisher : Springer Science & Business Media
ISBN 13 : 3540279830
Total Pages : 241 pages
Book Rating : 4.39/5 ( download)

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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 and published by Springer Science & Business Media. This book was released on 2006-02-13 with total page 241 pages. 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 :
Publisher : Springer
ISBN 13 : 3662562030
Total Pages : 274 pages
Book Rating : 4.31/5 ( download)

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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 and published by Springer. This book was released on 2018-03-26 with total page 274 pages. 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 :
Publisher : Springer Nature
ISBN 13 : 3030749134
Total Pages : 349 pages
Book Rating : 4.32/5 ( download)

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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 and published by Springer Nature. This book was released on 2021-11-06 with total page 349 pages. 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.

MATLAB® and Design Recipes for Earth Sciences

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Author :
Publisher : Springer Science & Business Media
ISBN 13 : 3642325432
Total Pages : 301 pages
Book Rating : 4.34/5 ( download)

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

Download or read book MATLAB® and Design Recipes for Earth Sciences written by Martin H. Trauth and published by Springer Science & Business Media. This book was released on 2012-09-14 with total page 301 pages. Available in PDF, EPUB and Kindle. Book excerpt: The overall aim of the book is 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 its sister book MATLAB Recipes for Earth Sciences–3rd Edition (2010), 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.

MATLAB® Recipes for Earth Sciences

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Author :
Publisher : Springer Science & Business Media
ISBN 13 : 3642127622
Total Pages : 343 pages
Book Rating : 4.25/5 ( download)

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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 and published by Springer Science & Business Media. This book was released on 2010-06-26 with total page 343 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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, 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 Third Edition includes ten new sections and has greatly expanded on most chapters from the previous edition, including a step by step discussion of all methods before demonstrating the methods with MATLAB functions. New sections include: Data Storage and Handling, Data Structures and Classes of Objects, Generating M-Files to Regenerate Graphs, Publishing M-Files, Distribution Fitting, Nonlinear and Weighted Regression, Color-Intensity Transects of Varved Sediments, and Grain Size Analysis from Microscope Images. The text includes 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

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Author :
Publisher : Springer
ISBN 13 : 3662462443
Total Pages : 427 pages
Book Rating : 4.47/5 ( download)

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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 and published by Springer. This book was released on 2015-02-17 with total page 427 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 for MATLAB Development

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Author :
Publisher : Apress
ISBN 13 : 9781484272220
Total Pages : 700 pages
Book Rating : 4.26/5 ( download)

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Book Synopsis Python for MATLAB Development by : Albert Danial

Download or read book Python for MATLAB Development written by Albert Danial and published by Apress. This book was released on 2022-03-26 with total page 700 pages. Available in PDF, EPUB and Kindle. Book excerpt: MATLAB can run Python code! Python for MATLAB Development shows you how to enhance MATLAB with Python solutions to a vast array of computational problems in science, engineering, optimization, statistics, finance, and simulation. It is three books in one: A thorough Python tutorial that leverages your existing MATLAB knowledge with a comprehensive collection of MATLAB/Python equivalent expressions A reference guide to setting up and managing a Python environment that integrates cleanly with MATLAB A collection of recipes that demonstrate Python solutions invoked directly from MATLAB This book shows how to call Python functions to enhance MATLAB's capabilities. Specifically, you'll see how Python helps MATLAB: Run faster with numba Distribute work to a compute cluster with dask Find symbolic solutions to integrals, derivatives, and series summations with SymPy Overlay data on maps with Cartopy Solve mixed-integer linear programming problems with PuLP Interact with Redis via pyredis, PostgreSQL via psycopg2, and MongoDB via pymongo Read and write file formats that are not natively understood by MATLAB, such as SQLite, YAML, and ini Who This Book Is For MATLAB developers who are new to Python and other developers with some prior experience with MATLAB, R, IDL, or Mathematica.

Geostatistics Explained

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Author :
Publisher : Cambridge University Press
ISBN 13 : 1139486691
Total Pages : 413 pages
Book Rating : 4.99/5 ( download)

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Book Synopsis Geostatistics Explained by : Steve McKillup

Download or read book Geostatistics Explained written by Steve McKillup and published by Cambridge University Press. This book was released on 2010-03-25 with total page 413 pages. Available in PDF, EPUB and Kindle. Book excerpt: A reader-friendly introduction to geostatistics for students and researchers struggling with statistics. Using simple, clear explanations for introductory and advanced material, it demystifies complex concepts and makes formulas and statistical tests easy to apply. Beginning with a critical evaluation of experimental and sampling design, the book moves on to explain essential concepts of probability, statistical significance and type 1 and type 2 error. An accessible graphical explanation of analysis of variance (ANOVA) leads onto advanced ANOVA designs, correlation and regression, and non-parametric tests including chi-square. Finally, it introduces the essentials of multivariate techniques, multi-dimensional scaling and cluster analysis, analysis of sequences and concepts of spatial analysis. Illustrated with wide-ranging examples from topics across the Earth and environmental sciences, Geostatistics Explained can be used for undergraduate courses or for self-study and reference. Worked examples at the end of each chapter reinforce a clear understanding of the statistical tests and their applications.