UBDC Summer Training 2017: Using R - Mapping Spatial Data

Tuesday 8 August 2017
10:00 – 16:30 BST
Jura Teaching Lab, Level 4 Annexe, University of Glasgow Library, Hillhead Street, Glasgow G12 8QE

Course instructor: Jing Yao, UBDC, University of Glasgow

Course duration: 1 day (Tuesday 8th August 2017, 10:00am – 4:30pm)

Course location: Jura teaching lab, Level 4 Annexe, Glasgow University Library

Audience: Social scientists, students, practitioners


  • £35 - For UK registered students
  • £60 - For staff at UK academic institutions, Research Council UK funded researchers, UK public sector staff and staff at UK registered charity organisations
  • £100 - For all other participants

Pre-requisite knowledge: Introduction to R or equivalent knowledge, and previous experience with GIS and spatial data manipulation is preferred.

Course summary:

Spatial data have been increasingly used in various applications to under spatially explicit problems, such as changes in real estate market, urban segregation and inequities in access to public services (e.g. public transport and public health) and so on. Desktop mapping is a straightforward way and powerful tool to explore spatial phenomena. There are many packages in R supporting visualizing/mapping spatial data. The purpose of this course is to introduce some common functions in R in relation to spatial data visualization and mapping, ranging from basic data manipulation to choropleth mapping. By the end of the course, you will be able to load geographic data into R, manipulate those data and generate various maps.

Course content:

  • Read spatial data from a variety of data files
  • Organize spatial data in various spatial data structures
  • Spatial data manipulation: join & merge
  • Classification of attribute/non-spatial data
  • Create maps using vector and raster data

Payment and registration:

Places are limited and registration is required.

Payment and registration information is available on Eventbrite.

Lunch will be provided in the break room adjacent to the IT lab - please specify any dietary or access requirements when registering.


Related 2017 courses:

Introduction to R
Principles of Visualising Data with R and ggplot
Getting started with Data Management
Introduction to Areal Data Modelling using R
Measuring Segregation and Scale in R