UBDC Summer Training 2017: Measuring Segregation and Scale in R
- Wednesday 6 September 2017
- 10:00 – 13:00 BST
- Jura Teaching Lab, Level 4 Annexe, University of Glasgow Library, Hillhead Street, Glasgow G12 8QE get directions
Course instructor: Richard Harris, School of Geographical Science, University of Bristol
Course duration: half day (Wednesday 6th September, 2017, 10:00am – 1:00pm)
Course location: Jura teaching lab, Level 4 Annexe, Glasgow University Library
Audience: Anyone interested in the measurement of ethnic and social segregation
- £25 - For UK registered students
- £35 - For staff at UK academic institutions, Research Council UK funded researchers, UK public sector staff and staff at UK registered charity organisations
- £50 - For all other participants
Pre-requisite knowledge: Prior experience of using R would be useful but is not essential
The course will introduce the MLID package in R, which offers tools and functions for studying ethnic and social segregation with a multilevel index of dissimilarity. The advantage of the multilevel approach it is it allows a well-known and easily interpretable index to be extended to measure the two principal dimensions of segregation simultaneously: spatial unevenness and spatial clustering. Scale differences can be examined to explore how much of the segregation is occurring at local, sub-regional or regional scales. A ‘hands on’ study using ethnicity data from the 2011 UK Census will be undertaken.
- How to fit the index of dissimilarity (and other indices) within a regression framework in R
- How to examine the residuals to identify the places contributing most to the index score
- How to extend the model to look for scale effects
- How to use visual tools and other diagnostics to interpret the results
Harris R (2017) Measuring the scales of segregation: looking at the residential separation of White British and other school children in England using a multilevel index of dissimilarity, Transactions of the Institute of British Geographers, in press.
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.
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