Shortcourse on MATLAB Recipes for Earth Sciences
I will again teach several shortcourses on the use of MATLAB in earth sciences, environmental sciences and related disciplines. 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. These courses introduce 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 next courses are on 7-11 March 2011 at the U Amsterdam (English), 21-25 March 2011 at the University of Potsdam (German), 11-13 April 2011 at the Natural History Museum in Vienna (German), 19-23 September 2011 at the University of Nairobi (English). Please send me an email if you interested to participate. Please download the flyer for the course in Potsdam including the registration information:
The shortcourses more less follow the contents of the book “MATLAB Recipes for Earth Sciences”. The third edition has just been released and can be viewed here:
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 book comes with a CD containing exemplary data sets and a digital version of the MATLAB recipes.
Kind regards, Martin Trauth