• Sam Langton
• Monsuru Adepeju
• Mathew Ashby
• Wouter Steenbeek
• Christophe Vandeviver

09.30-11.00

• What is R?
  
• RStudio interface
  
• Introducing the tidyverse
  
• Importing and handling data

11.00-11.15

• Coffee break

11.15-12.00

• Data visualisation

12.00-13.00

• Lunch

13.00-15.00

• Spatial data in R
• Visualising spatial data
• Basic geometry operations

All slides and worksheets are available online

Partridge, H., Solymosi, R. & Langton, S.H. (2019, July). Getting Started in R: an introduction to data analysis and visualisation (Version v1.0). Zenodo. http://doi.org/10.5281/zenodo.3349635

Wickham, H., & Grolemund, G. (2016). R for data science: import, tidy, transform, visualize, and model data. " O’Reilly Media, Inc.".

Lovelace, R., Nowosad, J., & Muenchow, J. (2019). Geocomputation with R. CRC Press.