MATLAB® Recipes for Earth Sciences

  • Martin H. Trauth

Table of contents

  1. Front Matter
    Pages i-xi
  2. Martin H. Trauth
    Pages 1-9
  3. Martin H. Trauth
    Pages 11-36
  4. Martin H. Trauth
    Pages 37-77
  5. Martin H. Trauth
    Pages 79-106
  6. Martin H. Trauth
    Pages 107-159
  7. Martin H. Trauth
    Pages 161-192
  8. Martin H. Trauth
    Pages 193-254
  9. Martin H. Trauth
    Pages 255-290
  10. Martin H. Trauth
    Pages 291-309
  11. Martin H. Trauth
    Pages 311-326
  12. Back Matter
    Pages 327-336

About this book


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.


Kriging digital elevation model directional data evolution geoscience geostatistics satellite sediment statistics

Authors and affiliations

  • Martin H. Trauth
    • 1
  1. 1.Inst. GeowissenschaftenUniversität PotsdamPotsdamGermany

Bibliographic information