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Statistics - Spatial Data Analysis in R
Royal Statistical Society

19 & 20 May 2026 - Certificate of attendance included

Summary

Price
£486 - £642 inc VAT
Study method
Online + live classes
Duration
2 days · Part-time
Qualification
No formal qualification
Certificates
  • Certificate of Attendance - Free
Additional info
  • Tutor is available to students

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Dates

Start date
End date
19/05/2026
20/05/2026

Overview

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 19 & 20 May 2026

Certificates

Certificate of Attendance

Digital certificate - Included

Description

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

  • Introducing R as a GIS
  • The structure of spatial objects in R
  • Loading and interrogating spatial data
  • Visualisaing spatial datasets with tmap
  • Data manipulation with spatial data using dplyr
  • Spatial operations such as intersections
  • Interactive maps with leaflet

Who is this course for?

Participants with spatial data problems who are not making use of R and are falling behind in the ever changing world of data science.

Requirements

A basic understanding of the R software is assumed.

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