MATLAB Recipes for Earth Sciences 5th edition by Martin Trauth ISBN 3030384438 9783030384432

Chapter 1: Introduction to MATLAB

• Introduction to MATLAB Environment
• MATLAB Commands and Syntax
• Variables, Operators, and Expressions
• Basic Plotting and Visualization in MATLAB

Chapter 2: Data Input and Output

• Reading and Writing Data Files
• Working with Different Data Formats (e.g., CSV, NetCDF, HDF5)
• Importing Data from External Sources
• Data Structures: Arrays, Cell Arrays, and Structures

Chapter 3: Basic Data Visualization

• Creating 2D Plots: Line, Scatter, Bar, and Histogram Plots
• Customizing Plots (Axes, Titles, Labels, Legends)
• Plotting Multiple Data Sets
• 3D Plotting: Surface Plots, Mesh Plots, and Contour Plots

Chapter 4: Data Analysis and Manipulation

• Data Cleaning and Preprocessing
• Interpolation and Curve Fitting
• Statistical Analysis: Descriptive Statistics, Correlation, Regression
• Fourier Transforms and Signal Processing

Chapter 5: Mathematical Functions and Solvers

• Solving Linear and Nonlinear Equations
• Numerical Differentiation and Integration
• Optimization Techniques: Minimization, Root Finding
• Solving Ordinary Differential Equations (ODEs)

Chapter 6: Working with Geospatial Data

• Working with Geographical Coordinates
• Mapping Data on Geographic Maps
• Using GIS Data: Shapefiles, GeoTIFF, KML, and NetCDF
• Geospatial Plotting: Contour Maps, 3D Surface Plots

Chapter 7: Time Series Analysis

• Handling Time Series Data in MATLAB
• Fourier and Wavelet Analysis for Time Series
• Spectral Analysis and Power Spectra
• Time Series Forecasting and Modeling

Chapter 8: Earth Science Simulations

• Numerical Models in Geophysics
• Heat Transfer and Fluid Flow Modeling
• Modeling Earthquake Propagation and Waveforms
• Climate and Atmospheric Modeling

Chapter 9: Advanced MATLAB Techniques

• Advanced Plotting and Custom Plot Types
• User-Defined Functions and Scripts
• Optimization of MATLAB Code for Performance
• Parallel Computing and Handling Large Data Sets

Chapter 10: Earth Science Applications

• Applications in Geophysics, Seismology, and Geodesy
• Climate Modeling and Analysis
• Environmental Science Applications: Air and Water Quality Models
• Remote Sensing and Satellite Data Processing