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Table of Contents
Intro
Preface
Contents
1 Data Analysis in the Earth Sciences
1.1 Introduction
1.2 Data Collection
1.3 Types of Data
1.4 Methods of Data Analysis
Recommended Reading
2 Introduction to Python
2.1 Introduction
2.2 Getting Started
2.3 Python Syntax
2.4 Array Manipulation
2.5 Data Types in Python
2.6 Data Storage and Handling
2.7 Control Flow
2.8 Scripts and Functions
2.9 Basic Visualization Tools
2.10 Generating Code to Recreate Graphics
2.11 Publishing and Sharing MATLAB Code
2.12 Creating Graphical User Interfaces
4.4 Analyzing the Residuals
4.5 Bootstrap Estimates of the Regression Coefficients
4.6 Jackknife Estimates of the Regression Coefficients
4.7 Cross-Validation
4.8 Reduced Major Axis Regression
4.9 Curvilinear Regression
4.10 Nonlinear and Weighted Regression
4.11 Classical Linear Regression of Log-Transformed Data
Recommended Reading
5 Time Series Analysis
5.1 Introduction
5.2 Generating Signals
5.3 Auto-Spectral and Cross-Spectral Analysis
5.4 Examples of Auto-Spectral and Cross-Spectral Analysis
5.5 Interpolating and Analyzing Unevenly Spaced Data
5.6 Evolutionary Power Spectrum
5.7 Lomb-Scargle Power Spectrum
5.8 Wavelet Power Spectrum
5.9 Detecting Abrupt Transitions in Time Series
5.10 Aligning Stratigraphic Sequences
5.11 Nonlinear Time Series Analysis (by N. Marwan)
Phase Space Portrait
Recurrence Plots
Recurrence Quantification
Anchor 16
Recommended Reading
6 Signal Processing
6.1 Introduction
6.2 Generating Signals
6.3 Linear Time-Invariant Systems
6.4 Convolution, Deconvolution, and Filtering
6.5 Comparing Functions for Filtering Data Series
6.6 Recursive and Nonrecursive Filters
6.7 Impulse Response
6.8 Frequency Response
6.9 Filter Design
6.10 Adaptive Filtering
Recommended Reading
7 Spatial Data
7.1 Introduction
7.2 The Global Geography Database GSHHG
7.3 The 1 Arc-Minute Gridded Global Relief Data ETOPO1
7.4 The 30 Arc-Second Elevation Model GTOPO30
7.5 The Shuttle Radar Topography Mission SRTM
7.6 Exporting 3D Graphics to Create Interactive Documents
7.7 Gridding and Contouring
7.8 Comparison of Methods and Potential Artifacts
7.9 Statistics of Point Distributions
7.10 Analysis of Digital Elevation Models (by R. Gebbers)
Preface
Contents
1 Data Analysis in the Earth Sciences
1.1 Introduction
1.2 Data Collection
1.3 Types of Data
1.4 Methods of Data Analysis
Recommended Reading
2 Introduction to Python
2.1 Introduction
2.2 Getting Started
2.3 Python Syntax
2.4 Array Manipulation
2.5 Data Types in Python
2.6 Data Storage and Handling
2.7 Control Flow
2.8 Scripts and Functions
2.9 Basic Visualization Tools
2.10 Generating Code to Recreate Graphics
2.11 Publishing and Sharing MATLAB Code
2.12 Creating Graphical User Interfaces
4.4 Analyzing the Residuals
4.5 Bootstrap Estimates of the Regression Coefficients
4.6 Jackknife Estimates of the Regression Coefficients
4.7 Cross-Validation
4.8 Reduced Major Axis Regression
4.9 Curvilinear Regression
4.10 Nonlinear and Weighted Regression
4.11 Classical Linear Regression of Log-Transformed Data
Recommended Reading
5 Time Series Analysis
5.1 Introduction
5.2 Generating Signals
5.3 Auto-Spectral and Cross-Spectral Analysis
5.4 Examples of Auto-Spectral and Cross-Spectral Analysis
5.5 Interpolating and Analyzing Unevenly Spaced Data
5.6 Evolutionary Power Spectrum
5.7 Lomb-Scargle Power Spectrum
5.8 Wavelet Power Spectrum
5.9 Detecting Abrupt Transitions in Time Series
5.10 Aligning Stratigraphic Sequences
5.11 Nonlinear Time Series Analysis (by N. Marwan)
Phase Space Portrait
Recurrence Plots
Recurrence Quantification
Anchor 16
Recommended Reading
6 Signal Processing
6.1 Introduction
6.2 Generating Signals
6.3 Linear Time-Invariant Systems
6.4 Convolution, Deconvolution, and Filtering
6.5 Comparing Functions for Filtering Data Series
6.6 Recursive and Nonrecursive Filters
6.7 Impulse Response
6.8 Frequency Response
6.9 Filter Design
6.10 Adaptive Filtering
Recommended Reading
7 Spatial Data
7.1 Introduction
7.2 The Global Geography Database GSHHG
7.3 The 1 Arc-Minute Gridded Global Relief Data ETOPO1
7.4 The 30 Arc-Second Elevation Model GTOPO30
7.5 The Shuttle Radar Topography Mission SRTM
7.6 Exporting 3D Graphics to Create Interactive Documents
7.7 Gridding and Contouring
7.8 Comparison of Methods and Potential Artifacts
7.9 Statistics of Point Distributions
7.10 Analysis of Digital Elevation Models (by R. Gebbers)