Items where Author is "Beecham, R."
Article
Beecham, R., Tennekes, M. & Wood, J.
ORCID: 0000-0001-9270-247X (2026).
gridmappr: An R package for creating small multiple gridmap layouts.
Environment and Planning B: Urban Analytics and City Science, 53(3),
pp. 487-493.
doi: 10.1177/23998083251374737
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., Dykes, J.
ORCID: 0000-0002-8096-5763, Hama, L. & Lomax, N. (2021).
On the Use of 'Glyphmaps' for Analysing the Scale and Temporal Spread of COVID-19 Reported Cases.
International Journal of Geo-Information, 10(4),
article number 213.
doi: 10.3390/ijgi10040213
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.
ORCID: 0000-0003-3941-553X & 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.
ORCID: 0000-0003-3941-553X, 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.
ORCID: 0000-0003-3941-553X, 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
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
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
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
Slingsby, A.
ORCID: 0000-0003-3941-553X, 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
Slingsby, A.
ORCID: 0000-0003-3941-553X, 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
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
Haider, J., Pohl, M., Beecham, R. & Dykes, J.
ORCID: 0000-0002-8096-5763 (2021).
Strategies for Detecting Difference in Map Line-up Tasks.
In:
INTERACT 2021: Human-Computer Interaction – INTERACT 2021.
INTERACT 2021, 30 Aug- 3 Sep 2021, Bari, Italy.
doi: 10.1007/978-3-030-85613-7_36
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.
ORCID: 0000-0003-3941-553X, 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.
ORCID: 0000-0003-3941-553X, 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.
ORCID: 0000-0003-3941-553X & 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.
ORCID: 0000-0003-3941-553X & 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.
ORCID: 0000-0003-3941-553X (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.
ORCID: 0000-0003-3941-553X (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)
Up a level