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. The Online Files Accompanying The Book Contain Exemplary Data Sets And A Digital Version Of The Matlab Recipes. Contents -- Preface -- 1. Data Analysis In Earth Sciences -- 2. Introduction To Matlab -- 3. Univariate Statistics -- 4. Bivariate Statistics -- 5. Time-series Analysis -- 6. Signal Processing -- 7. Spatial Data -- 8. Image Processing -- 9. Multivariate Statistics -- 10. Statistics On Directional Data -- General Index. Martin H. Trauth With Contributions By Robin Gebbers And Norbert Marwan And Illustrations By Elisabeth Sillmann. Includes Bibliographical References And Index. MATLAB[registered] 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 Front Matter....Pages i-xi Data Analysis in Earth Sciences....Pages 1-9 Introduction to MATLAB....Pages 11-36 Univariate Statistics....Pages 37-77 Bivariate Statistics....Pages 79-106 Time-Series Analysis....Pages 107-159 Signal Processing....Pages 161-192 Spatial Data....Pages 193-254 Image Processing....Pages 255-290 Multivariate Statistics....Pages 291-309 Statistics on Directional Data....Pages 311-326 Back Matter....Pages 327-336 Here is a time-tested guide to data analysis in geosciences using MATLAB. Beyond updating and expanding existing chapters, this Third Edition offers ten new sections. Coverage includes a step by step discussion of each method followed by MATLAB functions.
