Skip to main content
SpringerLink
Log in
Book cover

MATLAB® Recipes for Earth Sciences

  • Book
  • © 2010

Overview

Authors:
  1. Martin H. Trauth

    1. Inst. Geowissenschaften, Universität Potsdam, Potsdam, Germany

    View author publications

    You can also search for this author in PubMed   Google Scholar

  • Contains 10 new sections and has greatly expanded on most chapters from the previous edition Contains exercises and fully worked-out solutions Many detailed illustrations
  • Includes supplementary material: sn.pub/extras

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 69.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 89.95
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (10 chapters)

  1. Front Matter

    Pages i-xi
    Download chapter PDF

  2. Data Analysis in Earth Sciences

    • Martin H. Trauth
    Pages 1-9

  3. Introduction to MATLAB

    • Martin H. Trauth
    Pages 11-36

  4. Univariate Statistics

    • Martin H. Trauth
    Pages 37-77

  5. Bivariate Statistics

    • Martin H. Trauth
    Pages 79-106

  6. Time-Series Analysis

    • Martin H. Trauth
    Pages 107-159

  7. Signal Processing

    • Martin H. Trauth
    Pages 161-192

  8. Spatial Data

    • Martin H. Trauth
    Pages 193-254

  9. Image Processing

    • Martin H. Trauth
    Pages 255-290

  10. Multivariate Statistics

    • Martin H. Trauth
    Pages 291-309

  11. Statistics on Directional Data

    • Martin H. Trauth
    Pages 311-326

  12. Back Matter

    Pages 327-336
    Download chapter PDF
Back to top

Keywords

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.

Reviews

From the reviews of the third edition:

“The book introduces methods of data analysis in geosciences using MATLAB. … If you are tied to MATLAB, I don’t think you will be disappointed. If you have some familiarity with python then you will also be able to glean allot from the content. … The mathematical element flows nicely with the subject matter and I suspect that even an individual without a mathematics background could gain an appreciation for the math based on the context … .” (Amazon.com, February, 2013)

Authors and Affiliations

  • Inst. Geowissenschaften, Universität Potsdam, Potsdam, Germany

    Martin H. Trauth

About the author

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.

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation