City Research Online

Items where City Author is "Beecham, Roger"

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Number of items: 23.

Article

Beecham, R., Dykes, J. ORCID: 0000-0002-8096-5763, Rooney, C. & Wong, W. (2021). Design Exposition Discussion Documents for Rich Design Discourse in Applied Visualization. IEEE Transactions on Visualization and Computer Graphics, 27(8), pp. 3451-3462. doi: 10.1109/tvcg.2020.2979433

Beecham, R. & Slingsby, A. ORCID: 0000-0003-3941-553X (2019). Characterising labour market self-containment in London with geographically arranged small multiples. Environment and Planning A: Economy and Space, 51(6), pp. 1217-1224. doi: 10.1177/0308518x19850580

Beecham, R., Slingsby, A. & Brunsdon, C. (2018). Locally-varying explanations behind the United Kingdom’s vote to the Leave the European Union. Journal of Spatial Information Science, 16(16), pp. 117-136. doi: 10.5311/josis.2018.16.377

Beecham, R., Dykes, J., Meulemans, W. , Slingsby, A., Turkay, C. & 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. & Wong, B.L.W. (2016). Faceted Views of Varying Emphasis (FaVVEs): a framework for visualising multi-perspective small multiples. Computer Graphics Forum: the international journal of the Eurographics Association, 35(3), pp. 241-249. doi: 10.1111/cgf.12900

Beecham, R., Wood, J. & 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. & 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

Beecham, R. & Wood, J. (2014). Characterising group-cycling journeys using interactive graphics. Transportation Research Part C: Emerging Technologies, 47(2), pp. 194-206. doi: 10.1016/j.trc.2014.03.007

Wood, J., Beecham, R. & 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

Slingsby, A., Beecham, R. & Wood, J. (2013). Visual analysis of social networks in space and time using smartphone logs. Pervasive and Mobile Computing, pp. 848-864. doi: 10.1016/j.pmcj.2013.07.002

Slingsby, A., Beecham, R. & 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

Book Section

Beecham, R. (2015). Using Bikeshare Datasets to Improve Urban Cycling Experience and Research Urban Cycling Behaviour. In: Gerike, R. & Parkin, J. (Eds.), Cycling Futures: From Research into Practice. (pp. 267-283). Farnham: Ashgate.

Conference or Workshop Item

Rooney, C., Beecham, R., Dykes, J. ORCID: 0000-0002-8096-5763 & Wong, W. (2017). Dynamic Design Documents for supporting applied visualization. Poster presented at the IEEE VIS 2017, 01 - 06 Oct 2017, Phoenix, USA.

Beecham, R., Slingsby, A., Brunsdon, C. & Radburn, R. (2017). Spatially varying explanations behind the UKs vote to leave the EU. In: GISRUK 2017 Proceedings. 25th Geographical Information Science (GIS) Research UK Conference, 18 Apr 2017 - 21 Apr 2017, Manchester, UK.

Dykes, J., Rooney, C., Beecham, R. , Turkay, C., Slingsby, A., Wood, J. & Wong, W. (2015). Multi-Perspective Synopsis with Faceted Views of Varying Emphasis. Paper presented at the VIS 2015, 25-10-2015 - 30-10-2015, Chicago, USA.

Beecham, R., Dykes, J., Slingsby, A. & Turkay, C. (2015). Supporting crime analysis through visual design. Paper presented at the VIS 2015, 25-10-2015 - 30-10-2015, Chicago, USA.

Beecham, R., Dykes, J., Turkay, C. , Slingsby, A. & Wood, J. (2014). Map Line Ups: Using Graphical Inference to Study Spatial Structure. Paper presented at the DECISIVe: Dealing with Cognitive Biases in Visualizations, a workshop at IEEE VIS 2014, 09-11-2014 - 14-11-2014, Paris, France.

Beecham, R. & 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, 06-01-2014 - 08-01-2014, Newcastle, UK.

Kachkaev, A., Dillingham, I., Beecham, R. , Goodwin, S., Ahmed, N. & Slingsby, A. (2013). Monitoring the Health of Computer Networks with Visualization - VAST 2012 Mini Challenge 1 Award: "Efficient Use of Visualization". In: 2012 IEEE Conference on Visual Analytics Science and Technology (VAST). IEEE Conference on Visual Analytics Science and Technology, 14 - 19 Oct 2012, Seattle, Washington, USA. doi: 10.1109/VAST.2012.6400522

Beecham, R., Wood, J. & Bowerman, A. (2012). Identifying and explaining inter-peak cycling behaviours within the London Cycle Hire Scheme Conference. Paper presented at the Workshop on Progress in Movement Analysis: Experiences with Real Data, 15 - 16 Nov 2012, Zurich, Switzerland.

Beecham, R., Wood, J. & Bowerman, A. (2012). A visual analytics approach to understanding cycling behaviour. Poster presented at the IEEE Conference on Visual Analytics Science and Technology (VAST), 14 - 19 October 2012, Seattle, Washington, USA.

Radburn, R., Beecham, R., Dykes, J. , Wood, J. & Slingsby, A. (2010). Discovery exhibition: using spatial treemaps in local authority decision making and reporting. Paper presented at the IEEE Conference on Information Visualization (InfoVis), Discovery Exhibition, 24 - 29 October 2012, Salt Lake City, Utah, USA.

Thesis

Beecham, R. (2014). Understanding cycling behaviour through visual analysis of a large-scale observational dataset. (Unpublished Doctoral thesis, City University London)

This list was generated on Tue Mar 19 03:06:27 2024 UTC.