Introduction to Spatial Data and Using R as a GIS - Online (few places remaining)
27/09/2022 - 28/09/2022
NCRM, University of Southampton
Dr Nick Bearman
Entry (no or almost no prior knowledge)
Training and Capacity Building Coordinator, National Centre for Research Methods, University of Southampton
View in Google Maps (SO17 1BJ)
Run online by University of Southampton
In this online one day course (taught over two mornings) we will explore how to use R to import, manage and process spatial data. We will also cover the process of making choropleth maps, as well as some basic spatial analysis. Finally, we will cover the use of loops to make multiple maps quickly and easily, one of the major benefits of using a scripting language to make maps, rather than traditional graphic point-and-click interface.
The course covers:
- Using R to import, manage and process spatial data
- Design and creation of choropleth maps
- Basic spatial analysis
- Working with loops in R to create multiple maps
By the end of the course participants will:
- Use R to read in CSV data & 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 shapefiles
This course is ideal for anyone who wishes to use spatial data in their role. This includes 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 previous experience of coding is required, although participants would benefit from some experience of using spatial data (e.g. Google Maps).
This course will be taught over two mornings (10:00 – 13:00, including a mid morning break) and equates to one teaching day for payment purposes.
The fee per teaching day is: • £30 per day for registered students • £60 per day for staff at academic institutions, Research Councils researchers, public sector staff, staff at registered charity organisations and recognised research institutions. • £100 per day for all other participants In the event of cancellation by the delegate a full refund of the course fee is available up to two weeks prior to the course. No refunds are available after this date. If it is no longer possible to run a course due to circumstances beyond its control, NCRM reserves the right to cancel the course at its sole discretion at any time prior to the event. In this event every effort will be made to reschedule the course. If this is not possible or the new date is inconvenient a full refund of the course fee will be given. NCRM shall not be liable for any costs, losses or expenses that may be incurred as a result of the cancellation of a course. The University of Southampton’s Online Store T&Cs also continue to apply.
Website and registration:
Spatial Data Analysis, Quantitative Software, Geographical Information System (GIS), R / RStudio, Area-based analysis, Loops
Related publications and presentations: