
R and Python for Oceanographers
A Practical Guide with Applications
Resources
Description
Key Features
- 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
Readership
The book could be used as a supplementary material in oceanography and marine science courses by academic staff and students as well as by environmental scientists, geologists, earth scientists and climatologists.
Table of Contents
1. Introduction to R and Python
1.1 Introduction to R
1.2 R environment
1.3 Installation of R
1.4 Integrated development environments (IDEs) and editors for R
1.5 Useful R commands
1.6 Getting help for R
1.7 Introduction to Python
1.8 Modules and packages in Python
1.9 Python IDEs
1.10 Installing Python and scientific Python distributions
1.11 Getting help for Python
1.12 Some useful packages and libraries in R and Python for oceanography2. Data import and export in R and Python
2.1 Object types in R
2.2 Data import in R
2.3 Data export in R
2.4 Object types in Python
2.5 Data import in Python
2.6 Data export in Python3. Plotting
3.1 Plots in R
3.2 Plotting in Python4. Physical oceanography examples
4.1 Vertical profiling plots in R
4.2 Time-series plots in R
4.3 Temperature-salinity diagrams in R
4.4 Maps in R
4.5 Transect plots in R
4.6 Surface plots in R
4.7 Vertical profiling plots in Python
4.8 Time series plots in Python
4.9 Temperature-salinity diagrams in Python
4.10 Maps in Python
4.11 Transect plots in Python
4.12 Surface plots in Python
4.13 Animations in R and Python5. Chemical oceanography examples
5.1 Vertical profiling plots in R
5.2 Time-series plots in R
5.3 Barplots in R
5.4 Boxplots in R
5.5 Pie charts in R
5.6 3D plots in R
5.7 Ternary plots in R
5.8 Vertical profiling plots in Python
5.9 Time-series plots in Python
5.10 Barplots in Python
5.11 Boxplots in Python
5.12 Pie charts in Python
5.13 3D plots in Python
5.14 Ternary plots in Python
Product details
- No. of pages: 186
- Language: English
- Copyright: © Elsevier 2019
- Published: June 9, 2019
- Imprint: Elsevier
- Paperback ISBN: 9780128134917
- eBook ISBN: 9780128134924
About the Author
Hakan Alyuruk
Affiliations and Expertise
Ratings and Reviews
There are currently no reviews for "R and Python for Oceanographers"