Data analysis using MATLAB in the earth sciences is a much-explored area for geological scientists. For more than two decades, geological scientists have been using MATLAB to analyze most of the earth science data. This book uses MATLAB for the representation of, analysis of, and other operations on earth science datasets.

The author emphasizes using MATLAB scripts and graphical user interface (GUI) models for either creating one’s own scripts, based on the available input data, or modifying existing scripts and built-in models. This book consists of ten chapters including a dedicated chapter introducing MATLAB. Trauth further explains the statistical properties of the (uni-, bi-, and multi-) variate parameters with their descriptions and differences. The author also improvises on techniques, like time-series analysis and signal and image processing for earth science data analysis. He further introduces and classifies earth science data into two types: standard data--such as nominal, ordinal, ratio, and internal--and special data--such as closed, spatial, and directional data.

This is the fourth edition of the title, and each chapter contains some additions to the previous editions. The book chapters cover a description of the data, an introduction to MATLAB, the concepts of uni- and bi-variate parameters, working with time-series and signal processing, using methods for spatial data and images, the application of multi-variate data, and methods to analyze circular and spherical data. This book describes MATLAB scripts, GUIs, and their real-time implementation over earth sciences datasets. Further, the examples in the book are self-explanatory and can be easily understood by those working in the field. Another, similar title, targeted at undergraduate and graduate students, focuses on data analysis schemes using MATLAB scripts [1].

The author uses his own datasets, MATLAB scripts, and models in this book and precisely explains each of them. The 3D visualization of the earth science data is the main highlight of the book. Trauth considers undergraduates, post-graduates, doctoral students, scientists, and researchers as the possible audience of this book. He adds that advanced learners can directly move on to using the MATLAB scripts and models with their own datasets.