
Data Analysis in the Earth Sciences Using MATLAB
Gerard V. Middleton(Author)
Pearson (Publisher)
Published on 21. July 1999
Book
Paperback/Softback
260 pages
978-0-13-393505-9 (ISBN)
Description
For courses in Data Analysis found in departments of geology, geography, or geographics.
This is the first text to explore the application of MATLAB to the various Earth sciences. Combining theory with computer implementation-and many ready-to-use scripts useful in data analysis-it first introduces MATLAB and then discusses in detail its use for displaying and analyzing typical data sets encountered in Earth sciences such as geology, geochemistry, geophysics, or physical geography.
This is the first text to explore the application of MATLAB to the various Earth sciences. Combining theory with computer implementation-and many ready-to-use scripts useful in data analysis-it first introduces MATLAB and then discusses in detail its use for displaying and analyzing typical data sets encountered in Earth sciences such as geology, geochemistry, geophysics, or physical geography.
More details
Language
English
Place of publication
United States
Publishing group
Pearson Education (US)
Target group
Professional and scholarly
Dimensions
Height: 234 mm
Width: 180 mm
Thickness: 11 mm
Weight
412 gr
ISBN-13
978-0-13-393505-9 (9780133935059)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Content
1. Introduction.
2. Fundamentals of Statistics.
3. Algorithms and Computing.
4. Data as Matrices.
5. Regression and Curve Fitting.
6. Classification.
7. Time Series.
8. Spatial Data.
9. Directional and Compositional Data.
10. Fractals.
References.
Appendix A. Introduction to MATLAB.
Appendix B. List of Scripts, Functions, and Data Files.
Index.
2. Fundamentals of Statistics.
3. Algorithms and Computing.
4. Data as Matrices.
5. Regression and Curve Fitting.
6. Classification.
7. Time Series.
8. Spatial Data.
9. Directional and Compositional Data.
10. Fractals.
References.
Appendix A. Introduction to MATLAB.
Appendix B. List of Scripts, Functions, and Data Files.
Index.