Roger Beecham
Roger Beecham
Associate Professor in Visual Data Science, University of Leeds
Verified email at - Homepage
Cited by
Cited by
Exploring gendered cycling behaviours within a large-scale behavioural dataset
R Beecham, J Wood
Transportation Planning and Technology 37 (1), 83-97, 2014
Studying commuting behaviours using collaborative visual analytics
R Beecham, J Wood, A Bowerman
Computers, Environment and Urban Systems 47 (September 2014), 5-15, 2014
Moving beyond sequential design: Reflections on a rich multi-channel approach to data visualization
J Wood, R Beecham, J Dykes
IEEE transactions on visualization and computer graphics 20 (12), 2171-2180, 2014
Map LineUps: effects of spatial structure on graphical inference
R Beecham, J Dykes, W Meulemans, A Slingsby, C Turkay, J Wood
IEEE Transactions on Visualization and Computer Graphics 23 (1), 391-400, 2017
Characterising group-cycling journeys using interactive graphics
R Beecham, J Wood
Transportation Research Part C: Emerging Technologies 47, 194-206, 2014
Visual analysis of social networks in space and time using smartphone logs
A Slingsby, R Beecham, J Wood
Pervasive and Mobile Computing 9 (6), 848-864, 2013
Locally-varying explanations behind the United Kingdom's vote to leave the European Union
R Beecham, A Slingsby, C Brunsdon
Journal of Spatial Information Science 16, 117-136, 2018
Is the London cycle hire scheme becoming more inclusive? An evaluation of the shifting spatial distribution of uptake based on 70 million trips
R Lovelace, R Beecham, E Heinen, EV Tortosa, Y Yang, C Slade, ...
Transportation Research Part A: Policy and Practice 140, 1-15, 2020
Faceted Views of Varying Emphasis (FaVVEs): a framework for visualising multi‐perspective small multiples
R Beecham, C Rooney, S Meier, J Dykes, A Slingsby, C Turkay, J Wood, ...
Computer Graphics Forum 35 (3), 241-249, 2016
Regionally-structured explanations behind area-level populism: An update to recent ecological analyses
R Beecham, N Williams, A Comber
Plos one 15 (3), e0229974, 2020
A visual analytics approach to understanding cycling behaviour
R Beecham, J Wood, A Bowerman
Science and Technology (VAST) 14, 19, 2012
Design exposition discussion documents for rich design discourse in applied visualization
R Beecham, J Dykes, C Rooney, W Wong
IEEE transactions on visualization and computer graphics 27 (8), 3451-3462, 2020
Understanding the impacts of public transit disruptions on bikeshare schemes and cycling behaviours using spatiotemporal and graph-based analysis: A case study of four London …
Y Yang, R Beecham, A Heppenstall, A Turner, A Comber
Journal of Transport Geography 98, 103255, 2022
On the use of ‘glyphmaps’ for analysing the scale and temporal spread of covid-19 reported cases
R Beecham, J Dykes, L Hama, N Lomax
ISPRS International Journal of Geo-Information 10 (4), 213, 2021
Using bikeshare datasets to improve urban cycling experience and research urban cycling behaviour
R Beecham
Cycling Futures, 267-283, 2016
Connected bikeability in London: which localities are better connected by bike and does this matter?
R Beecham, Y Yang, C Tait, R Lovelace
Environment and Planning B: Urban Analytics and City Science, 2023
Is cycling infrastructure in London safe and equitable? Evidence from the cycling infrastructure database
C Tait, R Beecham, R Lovelace, S Barber
Journal of Transport & Health 26, 101369, 2022
Contraflows and cycling safety: Evidence from 22 years of data involving 508 one-way streets
C Tait, R Beecham, R Lovelace, S Barber
Accident Analysis & Prevention 179, 106895, 2023
Characterising labour market self-containment in London with geographically arranged small multiples
R Beecham, A Slingsby
Environment and Planning A: Economy and Space 51 (6), 1217-1224, 2019
Supporting crime analysis through visual design
R Beecham, J Dykes, A Slingsby, C Turkay
IEEE VIS 2015, 2015
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