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Introduction to Spatial Data & Using R as a GIS – London

20th July 2017 @ 10:00 am - 4:30 pm

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We are pleased to offer you this short course jointly organised by the Administrative Data Research Centre for England (ADRC-E) and the Consumer Data Research Centre (CDRC).

Please note this course can be taken as a one-day course, or can also be taken in conjunction with other two one-day courses on 19 July and 21 July 2017.

The course will cover an introduction to R, how to load and manage spatial data and how to create maps using R and RStudio. We will show you appropriate ways of using classifications for choropleth maps, using loops in R to create multiple maps and some basic spatial analysis.

We will be using RStudio to work with the R environment. By the end of the course you will be able to load data into R, represent it effectively and be able to prepare an output quality map.

This course is ideal for anyone who wishes to use spatial data in their role. This includes academics, commercial users, government & other public sector researchers who have data with some spatial information (e.g. address, postcode, etc.) which they wish to show on a map. This course is also suitable for those who wish to have an overview of what spatial data can be used for. No previous experience of spatial data is required.

No experience of spatial data, GIS or scripting required. Some basic experience of using Google Earth / Maps would be beneficial.


Course Contents:

• The basic theories behind spatial data, such as projections and coordinate systems
• Different types of spatial data, including vector, raster and point, line and polygon
• How to create a choropleth map, and why colours and classifications are important
• Working with spatial data in R & Rstudio
• Reprojecting data in R
• Some basic spatial analysis in R

Learning Outcomes:

• Use R to read in CSV data
• Use R to read in spatial data
• Know how to plot spatial data using R
• Join spatial data to attribute data
• Customize colour and classification methods
• Understand how to use loops to make multiple maps
• Know how to reproject spatial data
• Be able to perform point in polygon operations
• Know how to write shape files
• Know how create a ‘heat-map’ style map using point data


Further course details can be found here.

Please email for more information.

Course Fee:

£30 – For UK registered postgraduate students
£60 – For staff at UK academic institutions, Research Council UK funded researchers, UK public sector staff and staff at UK registered charity organisations
£220 – For all other participants
Free place for ADRC/ADRN/ADS staff

All fees include event materials, lunch, morning and afternoon tea. They do not include travel and accommodation costs.

Refreshments and lunch are provided, and numbers on the course are limited and allocated on a first come, first served basis.
Registration by 12th July 2017 is strongly recommended.

Further courses:

Introduction to QGIS: Understanding and Presenting Spatial Data – UCL London – 19th July 2017

Confident Spatial Analysis – UCL London – 21st July 2017



20th July 2017
10:00 am - 4:30 pm
Event Category:


University College London
Room 110A, Pearson Building, Gower Street
London, WC1E6BT United Kingdom
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