Dr Roger Beecham
Roger is undertaking a 4-year Research Fellowship at the giCentre. He is interested in using 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 for five years as a market research analyst at YouGov and Leicestershire County Council.
PhD Visual Data Analytics, City University London (2011-2014)
BA Geography, Durham University (2003-2006)
Aug 2014 - Present: City University London, Research Fellow
Oct 2011 - Jul 2014: City University London, PhD Research Student
Aug 2010 - Oct 2011: Senior Researcher, YouGov
Aug 2008 - Aug 2010: Research Officer, Leicestershire County Council
Aug 2006 - Aug 2008: Research Executive: QA Research
- Beecham, R. (2015). Using Bikeshare Datasets to Improve Urban Cycling Experience and Research Urban Cycling Behaviour. In Gerike, R. and Parkin, J. (Eds.), Cycling Futures: From Research into Practice (pp. 267–283). Ashgate ISBN 978-1-4724-5361-7.
- Beecham, R., Dykes, J., Turkay, C., Slingsby, A. and Wood, J.D. (2014). Map Line Ups: Using Graphical Inference to Study Spatial Structure. IEEE VIS 2014 9-14 November, Paris, France.
- Beecham, R. and Wood, J. (2014). Towards confirmatory data analysis? Deriving and analysing routing information for an origin-destination bike share dataset. 46th Annual Universities Transport Study Group Conference 6-8 January, Newcastle.
- Beecham, R., Wood, J. and Bowerman, A. (2012). A visual analytics approach to understanding cycling behaviour. .
- Beecham, R., Dykes, J., Meulemans, W., Slingsby, A., Turkay, C. and Wood, J. (2017). Map LineUps: Effects of spatial structure on graphical inference. IEEE Transactions on Visualization and Computer Graphics, 23(1), pp. 391–400. doi:10.1109/TVCG.2016.2598862.
- Beecham, R., Rooney, C., Meier, S., Dykes, J., Slingsby, A., Turkay, C., Wood, J. and Wong, B.L.W. (2016). Faceted Views of Varying Emphasis (FaVVEs): a framework for visualising multi-perspective small multiples. Computer Graphics Forum, 35(3), pp. 241–249. doi:10.1111/cgf.12900.
- Wood, J., Beecham, R. and Dykes, J. (2014). Moving beyond sequential design: Reflections on a rich multi-channel approach to data visualization. IEEE Transactions on Visualization and Computer Graphics, 20(12), pp. 2171–2180. doi:10.1109/TVCG.2014.2346323.
- Beecham, R., Wood, J. and Bowerman, A. (2014). Studying commuting behaviours using collaborative visual analytics. Computers, Environment and Urban Systems, 47, pp. 5–15. doi:10.1016/j.compenvurbsys.2013.10.007.
- Beecham, R. and Wood, J. (2014). Exploring gendered cycling behaviours within a large-scale behavioural data-set. Transportation Planning and Technology, 37(1), pp. 83–97. doi:10.1080/03081060.2013.844903.
- Slingsby, A., Beecham, R. and Wood, J. (2013). Visual analysis of social networks in space and time using smartphone logs. Pervasive and Mobile Computing, 9(6), pp. 848–864. doi:10.1016/j.pmcj.2013.07.002.
- Dykes, J.A., Rooney, C., Beecham, R., Turkay, C., Slingsby, A., Wood, J. and Wong, W. Multi-Perspective Synopsis with Faceted Views of Varying Emphasis. , 2015.
- Beecham, R., Dykes, J.A., Slingsby, A. and Turkay, C. Supporting crime analysis through visual design. , 2015.