I’m a Lecturer at the Leeds Institute for Data Analysis. 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.

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. Statistical Process Control charts for decision-making under uncertainty: a visualization make-over for crime analysis

   Chris Rooney, Roger Beecham, Jason Dykes and William Wong

   • under review: tvcg ##
   • code

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

   Roger Beecham, Aidan Slingsby and Chris Brunsdon

   • under review: josis ##
   • code
   • talk
   • paper

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

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

   • infovis 2016
   • best paper honorable mention
   • website
   • code
   • talk
   • paper
   • BibTeX

4. 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

   • eurovis 2016
   • website
   • code
   • talk
   • paper
   • BibTeX

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

   Jo Wood, Roger Beecham and Jason Dykes

   • infovis 2014
   • paper
   • BibTeX

6. Characterising group-cycling journeys using interactive graphics

   Roger Beecham and Jo Wood

   • trc 2014
   • paper
   • BibTeX

7. Studying commuting behaviours using collaborative visual analytics

   Roger Beecham, Jo Wood and Audrey Bowerman

   • ceus 2014
   • paper
   • BibTeX

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

   Roger Beecham and Jo Wood

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

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

   Roger Beecham and Jo Wood

   • utsg 2014
   • paper
   • BibTeX

10. 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