I’m a Lecturer at the University of Leeds. I work in Social and Geographic Data Science.

My research demonstrates how new, passively-collected datasets can be repurposed for social research. As well as technical and statistical issues, I consider the consequences of these data for knowledge production. This spans several disciplinary areas: spatial data analysis, information visualization, geography, transport planning, crime science and market research. My teaching is focussed around introducing computational data analysis techniques for Geographers (examples here and here).

Prior to September 2017 I worked as a PostDoc at the giCentre, City, University of London. I have a PhD in Geographic Information Science (City University London), a BA in Geography (Durham University, Robin Mills Award) and a professional background in market research, previously working as a Senior Researcher at YouGov and Researcher at Leicestershire County Council.

Selected Publications

A complete publications list can be found in my CV.

1. Guidelines and recommendations for mapping Covid-19 prevalence

   Roger Beecham, Jason Dykes and Layik Hama and Nik Lomax

   • in review
   • code
   • pre-print
   • BibTeX

2. Using position, angle and thickness to expose the shifting geographies of the 2019 UK General Election

   Roger Beecham

   • epa 2020
   • code
   • paper
   • press
   • BibTeX

3. Regionally-structured explanations behind area-level populism: An update to recent ecological analyses

   Roger Beecham, Nick Williams and Lex Comber

   • plos-one 2020
   • code
   • paper
   • training
   • BibTeX

4. Design Exposition Discussion Documents for Rich Design Discourse in Applied Visualization

   Roger Beecham, Chris Rooney, Jason Dykes and William Wong

   • tvcg 2020
   • code
   • paper
   • BibTeX

5. Characterising labour market self-containment in London with geographically arranged small multiples

   Roger Beecham and Aidan Slingsby

   • epa 2019
   • code
   • paper
   • tweet-abstract
   • BibTeX

6. Locally-varying explanations behind the United Kingdom's vote to leave the European Union

   Roger Beecham, Aidan Slingsby and Chris Brunsdon

   • josis 2018
   • code
   • talk
   • paper
   • training
   • BibTeX

7. Map line-ups: effects of spatial structure on graphical inference

   Roger Beecham, Jason Dykes, Wouter Meulemans, Aidan Slingsby, Cagatay Turkay and Jo Wood

   • tvcg 2017
   • best paper honorable mention
   • website
   • code
   • talk
   • paper
   • BibTeX

8. Faceted Views of Varying Emphasis (FaVVEs): a framework for visualising multi-perspective small multiples

   Roger Beecham, Chris Rooney, Sebastian Meier, Jason Dykes, Aidan Slingsby, Cagatay Turkay, Jo Wood and William Wong

   • cgf 2016
   • website
   • code
   • talk
   • paper
   • BibTeX

9. Moving beyond sequential design: Reflections on a rich multi-channel approach to data visualization

   Jo Wood, Roger Beecham and Jason Dykes

   • tvcg 2014
   • paper
   • BibTeX

10. Characterising group-cycling journeys using interactive graphics

    Roger Beecham and Jo Wood

    • trc 2014
    • paper
    • BibTeX

11. Studying commuting behaviours using collaborative visual analytics

    Roger Beecham, Jo Wood and Audrey Bowerman

    • ceus 2014
    • paper
    • BibTeX

12. Exploring gendered cycling behaviours within a large-scale behavioural dataset

    Roger Beecham and Jo Wood

    • tpt 2014
    • smeed prize (1st place)
    • paper
    • BibTeX

13. Towards confirmatory data analysis? Deriving and analysing routing information for an origin-destination bikeshare dataset

    Roger Beecham and Jo Wood

    • utsg 2014
    • paper
    • BibTeX

14. Visual analysis of social networks in space and time using smartphone logs

    Aidan Slingsby, Roger Beecham and Jo Wood

    • pervasive 2013
    • Nokia Data Challenge (3rd place)
    • paper
    • BibTeX