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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.

Forms, Modular. --- Earth sciences --- Geography --- Geology --- Earth & Environmental Sciences --- Geology - General --- Physical Geography --- Data processing --- Data processing. --- MATLAB. --- MATLAB (Computer program) --- Matrix laboratory --- Earth sciences. --- Computer graphics. --- Statistics. --- Earth Sciences. --- Earth Sciences, general. --- Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. --- Computer Graphics. --- Geography. --- Automatic drafting --- Graphic data processing --- Graphics, Computer --- Computer art --- Graphic arts --- Electronic data processing --- Engineering graphics --- Image processing --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Mathematics --- Econometrics --- Cosmography --- World history --- Digital techniques --- Statistics . --- Geosciences --- Environmental sciences --- Physical sciences --- MATLAB (Computer file)

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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, oral presentations and multimedia publications 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–4th 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 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. System requirements Users of this book will require the MATLAB® software, which is available for Windows, Mac OS X and Linux. The M-files and example data available online through Springer Extras should run on all platforms without requiring any modification. For this edition we have used MATLAB Version 9 (Release 2017a), the Image Processing Toolbox Version 10.0, the Mapping Toolbox Version 4.5 and the Simulink 3D Animation Toolbox Version 7.7. Furthermore, we used the Adobe Creative Cloud 2017 including Acrobat, Illustrator, Photoshop and Audition. MATLAB® and Simulink® are registered trademarks of The MathWorks, Inc. For MATLAB and Simulink product information, please contact: The MathWorks, Inc. 3 Apple Hill Drive Natick, MA, 01760-2098 USA Tel: 508-647-7000 Fax: 508-647-7001 E-mail: info@mathworks.com Web: http://www.mathworks.com How to buy: www.mathworks.com/store.

Earth sciences. --- Computer graphics. --- Computer software. --- Statistics. --- Earth Sciences. --- Earth Sciences, general. --- Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. --- Computer Graphics. --- Mathematical Software. --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Mathematics --- Econometrics --- Software, Computer --- Computer systems --- Automatic drafting --- Graphic data processing --- Graphics, Computer --- Computer art --- Graphic arts --- Electronic data processing --- Engineering graphics --- Image processing --- Geosciences --- Environmental sciences --- Physical sciences --- Digital techniques --- Geography. --- Cosmography --- Earth sciences --- World history --- MATLAB. --- Data processing. --- Statistics .

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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.

Earth sciences --- Sciences de la terre --- Mathematics --- Data processing --- Mathématiques --- Informatique --- MATLAB --- Earth sciences -- Data processing. --- Earth sciences -- Mathematics. --- MATLAB. --- Geology --- Earth & Environmental Sciences --- Geology - General --- Mathematics. --- Data processing. --- Mathématiques --- EPUB-LIV-FT LIVTERRE SPRINGER-B --- Geosciences --- MATLAB (Computer program) --- Matrix laboratory --- Earth sciences. --- Geology. --- Geographical information systems. --- Earth Sciences. --- Geographical Information Systems/Cartography. --- Earth Sciences, general. --- Quantitative Geology. --- Statistical methods. --- Environmental sciences --- Physical sciences --- Geography. --- GeologyxMathematics. --- Cosmography --- World history --- Geographical information systems --- GIS (Information systems) --- Information storage and retrieval systems --- Geognosy --- Geoscience --- Natural history --- Geography --- Geomathematics --- Mathematical geology --- Geology—Statistical methods. --- MATLAB (Computer file) --- Earth sciences - Mathematics --- Earth sciences - Data processing