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.
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Martin Trauth, born in Landau/Pfalz in 1963, studied geophysics and geology at the University of Karlsruhe. He obtained a doctoral degree at Kiel University in 1995 and then became a permanent staff scientist and lecturer at the University of Potsdam. After his habilitation in 2003, he became an external lecturer at this university. Since 1990, he has worked on various aspects of past climate changes in East Africa and South America. His projects aim to understand the role of the tropics in terminating ice ages, the relationship between climate changes and human evolution, and the influence of climate anomalies on mass movements in the Central Andes. All these projects include the application of numerical and statistical methods using MATLAB®, such as time-series analysis and signal processing on paleoclimate time series, lake-balance modeling, stochastic modeling of bioturbation and image processing on laminated sediments. For more than ten years, Martin Trauth has taught various courses on data analysis in earth sciences at the University of Potsdam and other European universities.
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