Roger Beecham

Research Fellow
giCentre, Department of Computer Science
Room A304
City University London
EC1V 0HB United Kingdom

T: +44 (0)20 7040 3914
: rjbeecham

Roger is interested in using and developing visualization techniques in the analysis of large, social science datasets. Roger completed his PhD at the giCentre and successfully defended his thesis in October 2014. Prior to this, he worked as a market research analyst at YouGov and Leicestershire County Council. He holds a BA in Geography (Durham University, First Class Honours, Robin Mills Prize 2006).

As well as continuing with transport research, Roger is primarily working on VALCRI: a four-year research project that aims to create new visual analytics systems to support crime analysis. 

PhD Thesis

Beecham, R. (2014). Understanding cycling behaviour through visual analysis of a large-scale observational dataset. PhD Thesis. Awarded October 2014.

Journal papers

Beecham, R., Dykes, J., Meulemans, W., Slingsby, A., Turkay, C., and Wood, J. (in press), Map LineUps: effects of spatial structure on graphical inferenceIEEE Transactions on Visualisation and Computer GraphicsBest Paper Honorable Mention.

Beecham, R., Rooney, C., Meier, S., Dykes, J., Slingsby, A., Turkay, C., and Wong, W. (2016), Faceted Views of Varying Emphasis (FaVVEs): a framework for visualising multi-perspective small multiples, Computer Graphics Forum, 35(3), pp. 241-249.  

Wood, J., Beecham, R. and Dykes, J. (2014). Moving beyond sequential design: Reflections on a rich multi-channel approach to data visualizationIEEE Transactions on Visualization and Computer Graphics, 20(12).

Beecham, R. and Wood, J. (2014). Characterising group-cycling journeys using interactive graphicsTransportation Research Part C: Emerging Technologies, 47(2), pp. 194-206. 

Beecham, R., Wood, J. and Bowman, A. (2014). Studying commuting behaviours using collaborative visual analyticsComputers, Environment and Urban Systems, 27, pp. 5-15.

Beecham, R. and Wood, J. (2014). Exploring gendered cycling behaviours within a large-scale behavioural datasetTransportation Planning and Technology, 37(1), pp. 83-97. Smeed Prize (first place).

Slingsby, A., Beecham, R. and  Wood, J. (2013). Visual analysis of social networks in space and time using smartphone logsPervasive and Mobile Computing, 9(6), pp. 848-864.

Book chapters

Beecham, R. (2015). Using bikeshare datasets to improve urban cycling experience and research urban cycling behaviour. In Gerike, R., Cox, P., de Geus, B. and Parkin, J. (2015) Cycling Futures: From Research into Practice, (pp 267-283) Ashgate, Farnham, UK. 

Conference and workshop papers (selected)

Beecham, R.,  Dykes, J., Slingsby, A. and Turkay, C. (2015) Supporting crime analysis through visual design. Poster presented at the VIS 2015, 25-30th October 2015, Chicago, USA.

Beecham, R. and Wood, J. (2014) Towards confirmatory data analysis? Deriving and analysing routing information for an origin-destination bike share dataset. Paper presented at the The 46th Annual Universities’ Transport Study Group (UTSG) Conference, 6th - 8th January 2014, Newcastle, UK.