An Introduction to Spatial Data Analysis and Visualisation in R
Guy Lansley and James Cheshire
This tutorial series is designed to provide an accessible introduction to techniques for handling, analysing and visualising spatial data in R. R is an open source software environment for statistical computing and graphics. It has a range of bespoke packages which provide additional functionality for handling spatial data and performing complex spatial analysis operations. The practical series uses open data which has been made readily available for each tutorial and demonstrates a range of techniques that are useful for social science research including multivariate analysis, mapping and spatial interpolation.
The tutorials and their associated data are freely available, although users are required to register for an account on this website to access them. For any questions or concerns please email Guy at firstname.lastname@example.org.
- Practical 1: An Introduction to R
- Practical 2: Data exploration in R
- Practical 3: Bivariate Plots in R
- Practical 4: Finding Relationships in R
- Practical 5: Making maps in R
- Practical 6: Mapping Point Data in R
- Practical 7: Using R as a GIS
- Practical 8: Representing Densities in R
- Practical 9: Measuring Spatial Autocorrelation in R
- Practical 10: Geographically Weighted Regression in R
- Practical 11: Interpolating Point Data in R
- Practical 12: Functions and Loops in R