MATLAB® recipes for earth sciences

MATLAB® recipes for earth sciences

Trauth, Martin H.

62,35 €(IVA inc.)

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. This book introduces 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 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 numerousexamples 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. Contains 10 new sections and has greatlyexpanded on most chapters from the previous edition Contains exercises and fully worked-out solutions Many detailed illustrations Digital version of MATLABrecipes on CD-ROM INDICE: Contents.- Preface.- 1. Data Analysis in Earth Sciences.- 2. Introduction to MATLAB.- 3. Univariate Statistics.- 4. Bivariate Statistics.- 5. Time-Series Analysis.- 6. Signal Processing.- 7. Spatial Data.- 8. Image Processing.- 9. Multivariate Statistics.- 10. Statistics on Directional Data.- General Index.

  • ISBN: 978-3-642-12761-8
  • Editorial: Springer
  • Encuadernacion: Cartoné
  • Páginas: 336
  • Fecha Publicación: 01/08/2010
  • Nº Volúmenes: 1
  • Idioma: Inglés