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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

Course summary:

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.

Course content:

  • 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

Background reading:

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.



Related 2017 courses:

Introduction to R

Using R: Mapping Spatial Data

Principles of Visualising Data with R and ggplot

Getting started with Data Management

Introduction to Areal Data Modelling using R

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