MATLAB(R) 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,
time-series analysis, signal processing, the analysis of spatial and
directional data and image analysis. The revised and updated Fourth
Edition includes sixteen new sections and most chapters have greatly
been expanded so that they now include a step by step discussion of all
methods before demonstrating the methods with MATLAB functions. New
sections include: Array Manipulation; Control Flow; Creating Graphical
User Interfaces; Hypothesis Testing; Kolmogorov-Smirnov Test;
Mann-Whitney Test; Ansari-Bradley Test; Detecting Abrupt Transitions in
Time Series; Exporting 3D Graphics to Create Interactive Documents;
Importing, Processing and Exporting LANDSAT Images; Importing and
Georeferencing TERRA ASTER Images; Processing and Exporting EO-1
Hyperion Images; Image Enhancement; Correction and Rectification;
Shape-Based Object Detection in Images; Discriminant Analysis; and
Multiple Linear Regression. The text includes numerous examples
demonstrating how MATLAB can be used on data sets from earth sciences.
The book's supplementary electronic material (available online through
Springer Link) includes recipes that include all the MATLAB commands
featured in the book and the example data.