R and Python for Oceanographers
A Practical Guide with Applications
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...
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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.
Bibliographische Angaben
- Autor: Hakan Alyuruk
- Verlag: Elsevier Science & Technology
- EAN: 9780128134917
Autoren-Porträt von Hakan Alyuruk
Hakan Alyuruk is a research assistant (PhD) at the Institute of Marine Sciences and Technology, Dokuz Eylül University. His doctoral studies centered on characterization and determination of dissolved organic matter in seawater samples. His current research interests are mainly based on the in-depth chemical analyses and biogeochemical cycles of organic matter in the water column.
Inhaltsverzeichnis zu „R and Python for Oceanographers “
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
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