Material to support teaching in Environmental Science at The University of Western Australia

Units ENVT3361, ENVT4461, and ENVT5503

R for Environmental Science

Data analysis and visualization

Contents

Contents are only provided on this page. To navigate from other pages use the menu at the top.

1. Contents

2. For beginners

3. Intro

• Introduction to R
• Intro to R with ggplot

4. Plots

• Plots with base-R
• Plots with ggplot
• Enhanced boxplots
• Depth profiles
• More depth profiles

5. Comparisons

• Compare means (parametric)
• Non-parametric comparisons

6. Relationships

• Correlation
• Simple linear regression
• Grouped linear regression
• Multiple linear regression
  • Making use of unusual regression residuals
• Time series analysis

7. Multivariate analyses

• Principal components analysis
• Ordinations of species presence-absence data
• Linear discriminant analysis
• Cluster analysis

8. Maps

• Map data with tile backgrounds
• Spatial statistics
• Spatial interpolation
• Using Google Earth objects
• Using georeferenced images
• Using shapefiles

9. Utilities and other R goodies

• Distribution checking
• Regression residuals to identify contamination
• HYDRUS-1D basics and usage with R

10. Reporting tools

• Resources for reporting
• Tables to count & identify over-guideline samples
• Maps of Locality and Site Plan
• Brief essentials of R markdown
• Modifying output with R markdown chunk options

11. UWA School of Agriculture and Environment

 

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