Spatial Data Analysis with R
As spatial data sets get larger, more sophisticated software needs to be harnessed for their analysis. R is now a widely used open source software platform for working with spatial data thanks to its powerful analysis and visualisation packages.
This training course provides an introduction to sf, a popular package for handling geographic data in R. Participants will learn how to load, manipulate and visualise spatial data, creating both static and interactive maps. The focus is on the principles rather than the specific methods, providing participants with the understanding needed to apply R's powerful suite of geographical tools to their own problems.
Online | October 19, 2020
This course will be structured as follows:
- Introducing R as a GIS
- The structure of spatial objects in R
- Loading and interrogating spatial data with sf
- Visualising spatial data sets with tmap
- Data manipulation with spatial data using dplyr
- Spatial operations such as intersections
- Interactive maps with leaflet
It is expected that participants have basic R experience, e.g. attending the Introduction to R and Introduction to Programming courses or having a similar level of knowledge. The course will be hands-on and applied with short introductory lectures to each of the topics, followed by practical sessions loading and analysing real spatial datasets.