This book introduces methods of data analysis in science using MATLAB, such as basic statistics for univariate, bivariate and multivariate, multiple datasets and bootstrap resampling schemes, processing of digital elevation models, gridding and contouring, geostatistics and kriging, processing and Georeferencing satellite imagery, digitization of screen, linear and nonlinear time-series analysis, and application of linear time invariant and adaptive filters. Revised and updated third edition includes ten new sections and chapters mostly been greatly expanded from previous editions, including step-by-step discussions of all methods before the show method with MATLAB functions. New sections include: Storage and Handling of Data, Data Structures and Class Objects, Generating M-Files to grow Graphics, Publishing M-Files, Distribution Fitting, and Nonlinear Weighted Regression, Color-Intensity Transects Varved Sediment, and Grain Size of Image Analysis Microscope .