MATLAB® Recipes for Earth Sciences

  • Martin H. Trauth

Table of contents

  1. Front Matter
    Pages I-XII
  2. Martin H. Trauth
    Pages 1-9
  3. Martin H. Trauth
    Pages 11-28
  4. Martin H. Trauth
    Pages 29-59
  5. Martin H. Trauth
    Pages 61-82
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    Pages 83-132
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    Pages 133-163
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    Pages 165-224
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    Pages 225-243
  10. Martin H. Trauth
    Pages 245-261
  11. Martin H. Trauth
    Pages 263-277
  12. Back Matter
    Pages 279-288

About this book


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.


Data analysis Geosciences Kriging MATLAB digital elevation model directional data geoscience

Authors and affiliations

  • Martin H. Trauth
    • 1
  1. 1.Department of GeosciencesUniversity of PotsdamGermany

Bibliographic information