Roger Beecham
Roger Beecham
Associate Professor in Visual Data Science, University of Leeds
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Zitiert von
Zitiert von
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
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
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
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
A visual analytics approach to understanding cycling behaviour
R Beecham, J Wood, A Bowerman
Science and Technology (VAST) 14, 19, 2012
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
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
Using bikeshare datasets to improve urban cycling experience and research urban cycling behaviour
R Beecham
Cycling Futures: From Research into Practice, 267-283, 2015
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
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
Monitoring the health of computer networks with visualization: VAST 2012 Mini Challenge 1 award:“Efficient use of visualization”
A Kachkaev, I Dillingham, R Beecham, S Goodwin, N Ahmed, A Slingsby
2012 IEEE Conference on Visual Analytics Science and Technology (VAST), 269-270, 2012
Connected bikeability in London: which localities are better connected by bike and does this matter?
R Beecham, C Tait, R Lovelace, Y Yang
OSF Preprints, 2022
A framework for inserting visually-supported inferences into geographical analysis workflow: application to road safety research
R Beecham, R Lovelace
OSF Preprints, 2022
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
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