R and Python for Oceanographers

R and Python for Oceanographers: A Practical Guide with Applications describes the uses of scientific Python packages and R in oceanographic data analysis, including both script codes and graphic outputs. Each chapter begins with theoretical background that is followed by step-by-step examples of software applications, including scripts, graphics, tables and practical exercises for better understanding of the subject. Examples include frequently used data analysis approaches in physical and chemical oceanography, but also contain topics on data import/export and GIS mapping. The examples seen in book provide uses of the latest versions of Python and R libraries.

• Presents much needed oceanographic data analysis approaches to chemical and physical oceanography
• Includes examples with software applications (based on Python and R), including free software for the analysis of oceanographic data
• Provides guidance on how to get started, along with guidance on example code and output

Academic staff and students at oceanographic institutions. The book could be used as supplementary material in oceanography courses. The secondary market includes environmental scientists, geologists, Earth Scientists, Climatologists

1. Introduction to R and Python
2. Data Import and Export
2.1 Using Oceanographic Database & Satellite Database Files
3. Plotting
4. Mapping and Spatial Analysis
5. Physical Oceanography Examples
5.1 Air-Sea interactions
5.1.1 Bulk formulas
5.2 CTD data analysis
5.2.1 T-S diagrams
5.2.2 T/S profiles
5.2.3 T/S transects
5.3 Statistics
5.3.1 Empirical Orthogonal Functions (EOF)
5.3.2 Canonical Correlation Analysis (CCA)
6. Chemical Oceanography Examples
6.1 Nutrient Chemistry (Nitrite, Nitrate, Phosphate, Silica, Ammonium)
6.2 Gas Chemistry (Oxygen, Carbondioxide)
6.3 Statistics
6.3.1 Principal Component Analysis
6.3.2 Factor Analysis