R and Python for Oceanographers

A Practical Guide with Applications
Erscheinungsjahr 2019
ISBN: 978-0-12-813491-7
Verlag: Elsevier Science Publishing Co Inc

Buch, Englisch, 186 Seiten, Format (B × H): 228 mm x 155 mm, Gewicht: 320 g

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.

Zielgruppe

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

Autoren/Hrsg.

Alyuruk, Hakan

Fachgebiete

• Mathematik | Informatik EDV | Informatik Business Application Mathematische & Statistische Software
• Geowissenschaften Geologie Marine Geologie, Ozeanographie (Meereskunde)

Inhaltsverzeichnis

1. Introduction to R and Python1.1 Introduction to R1.2 R environment 1.3 Installation of R 1.4 Integrated development environments (IDEs) and editors for R1.5 Useful R commands1.6 Getting help for R1.7 Introduction to Python 1.8 Modules and packages in Python1.9 Python IDEs1.10 Installing Python and scientific Python distributions1.11 Getting help for Python1.12 Some useful packages and libraries in R and Python for oceanography

2. Data import and export in R and Python2.1 Object types in R2.2 Data import in R2.3 Data export in R2.4 Object types in Python2.5 Data import in Python2.6 Data export in Python

3. Plotting 3.1 Plots in R3.2 Plotting in Python

4. Physical oceanography examples4.1 Vertical profiling plots in R 4.2 Time-series plots in R 4.3 Temperature-salinity diagrams in R4.4 Maps in R4.5 Transect plots in R4.6 Surface plots in R4.7 Vertical profiling plots in Python 4.8 Time series plots in Python4.9 Temperature-salinity diagrams in Python4.10 Maps in Python 4.11 Transect plots in Python 4.12 Surface plots in Python 4.13 Animations in R and Python

5. Chemical oceanography examples5.1 Vertical profiling plots in R5.2 Time-series plots in R5.3 Barplots in R5.4 Boxplots in R5.5 Pie charts in R5.6 3D plots in R5.7 Ternary plots in R5.8 Vertical profiling plots in Python 5.9 Time-series plots in Python5.10 Barplots in Python5.11 Boxplots in Python5.12 Pie charts in Python5.13 3D plots in Python5.14 Ternary plots in Python

Über Autor(innen)

Alyuruk, Hakan
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.