- Certificate of Attendance - Free
- Tutor is available to students
As spatial datasets get larger and 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 course will be held over 2 afternoons, on 21 & 22 May 2024
Digital certificate - Included
As spatial datasets get larger and 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 geographic vector 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.
Topics Covered
Participants with spatial data problems who are not making use of R and are falling behind in the ever changing world of data science.
A basic understanding of the R software is assumed.
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