Training and Events


Introduction to Spatial Data and Using R as a GIS - Online
Course Code	HUB-03-20/21-P-R
Organised by	NCRM, University of Southampton
Presenter	Dr Nick Bearman
Date	02/02/2021 - 05/02/2021
Venue	Online run by University of Southampton
Map	View in Google Maps (SO17 1BJ)
Contact	Jacqui Thorp Training and Capacity Building Co-Ordinator National Centre for Research Methods University of Southampton Email: jmh6@soton.ac.uk
Description	In this one day online course (taught over 2 mornings on the 2nd and 5th February) 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 participant will: Use R to reas CSV data and spatial data Know how to plot spatial data using R Join spatial data to attribute data Customise colour and classification methods Understand to use loops to make multtiple 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 and other public sector researchers who have data with some spatial information (eg: adress, 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 (eg: Google maps). The course will run from 10:00-13:00 both days and will include a mid-morning break.
Level	Entry (no or almost no prior knowledge)
Cost	The fee per teaching day is: • £30 per day for UK/EU registered students • £60 per day for staff at UK/EU academic institutions, UK/EU Research Councils researchers, UK/EU public sector staff, staff at UK/EU registered charity organisations and recognised UK/EU 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	https://go.soton.ac.uk/cyg
Region	South West
Keywords	Spatial Data Analysis, Area-based analysis, Geographical Information System (GIS), R, Area-based analysis , , , Loops
Related publications and presentations	Spatial Data Analysis Area-based analysis Geographical Information System (GIS) R
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Training and Events

Introduction to Spatial Data and Using R as a GIS - Online