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Using Spatial Data from Social Media – London

16th November 2018 @ 10:00 am - 4:30 pm

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Course description

In this one-day course we will consider how data from different social media platforms could be used for spatial analysis. With social media now generating significant volumes of data it is a great resource for research in a wide range of different social science areas. We will primarily focus on Twitter data explore what spatial elements there are within the data and discuss how best to show and analyse these in a GIS. We will also cover a quick recap on spatial data.

Some experience of working with spatial data is needed for this course.

No experience of coding is needed for this course, but some experience would be beneficial.

Learning Outcomes

  • Understand the range of spatial information available within social media.
  • Be aware of what the limitations are of using social media data in our research.
  • Know how to extract tweet data from Twitter and import it into a GIS.
  • Understand how to perform simple spatial analysis on Twitter data.

Outline of the day

  • 9:50am – 10:00am – Registration and Refreshments
  • 10:00am – 10:20am – What is Spatial data?
  • 10:20am – 10:45am – What is Social Media data?
  • 10:45am – 11:30am – Practical 1 : Accessing Twitter data
  •  11:30am – 11:40am – How useful is Social Media data?
  • 11:40am – 12:30pm – Practical 2: Working with Twitter data in QGIS
  • 12:30pm – 1:30pm – Lunch
  • 1:30pm – 1:45pm – Recap and other social media data
  • 1:45pm – 3:00pm – Practical 3: Spatial Analysis of Twitter data
  • 3:00pm – 3:15pm – Tea/Coffee
  • 3:15pm – 4:00pm/4:30pm – Practical 4: Extracting data with your own search terms

Please note this course can be taken as a one-day course, or can also be taken in conjunction with another one-day course on 15th November 2018 (Web mapping).

Please email claudia.seiler@sbs.ox.ac.uk for more information.

Course Fee

£60 – UK registered students
£100 – staff at UK academic institutions and research centres, UK-registered charity and voluntary organisations, staff in public sector and government
£300 – all other participants including staff from commercial organisations

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

Numbers on the course are limited and allocated on a first come, first served basis.

Computer Software

Participants will need to bring their own laptops. You will need a web browser (Chrome or Firefox) and a working installation of QGIS (http://www.qgis.org). You will also find a mouse very useful for working with some of the spatial data.

 

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Details

Date:
16th November 2018
Time:
10:00 am - 4:30 pm
Event Category:
Event Tags:
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Venue

University of Liverpool (London Campus)
33 Finsbury Square
London, EC2A 1AG United Kingdom
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