City Research Online

Article

Andrienko, G. and Andrienko, N. (2005). Blending aggregation and selection: Adapting parallel coordinates for the visualization of large datasets. The Cartographic Journal, 42(1), pp. 49-60. doi: 10.1179/000870405X57284

Andrienko, G. and Andrienko, N. (2010). A general framework for using aggregation in visual exploration of movement data. The Cartographic Journal, 47(1), pp. 22-40. doi: 10.1179/000870409X12525737905042

Andrienko, G., Andrienko, N., Bak, P., Bremm, S., Keim, D., Von Landesberger, T., Pölitz, C. and Schreck, T. (2010). A framework for using self-organising maps to analyse spatiotemporal patterns, exemplified by analysis of mobile phone usage. Journal of Location Based Services, 4(3), pp. 200-221. doi: 10.1080/17489725.2010.532816

Andrienko, G., Andrienko, N., Bak, P., Keim, D., Kisilevich, S. and Wrobel, S. (2011). A conceptual framework and taxonomy of techniques for analyzing movement. Journal of Visual Languages and Computing, 22(3), pp. 213-232. doi: 10.1016/j.jvlc.2011.02.003

Andrienko, G., Andrienko, N. and Bartling, U. (2008). Visual analytics approach to user-controlled evacuation scheduling. Information Visualization, 7(1), pp. 89-103. doi: 10.1057/palgrave.ivs.9500174

Andrienko, G., Andrienko, N., Bremm, S., Schreck, T., Von Landesberger, T., Bak, P. and Keim, D. (2010). Space-in-time and time-in-space self-organizing maps for exploring spatiotemporal patterns. Computer Graphics Forum, 29(3), pp. 913-922. doi: 10.1111/j.1467-8659.2009.01664.x

Andrienko, G., Andrienko, N., Budziak, G., Dykes, J., Fuchs, G., Von Landesberger, T. and Weber, H. (2017). Visual Analysis of Pressure in Football. Data Mining and Knowledge Discovery, 31(6), pp. 1793-1839. doi: 10.1007/s10618-017-0513-2

Andrienko, G., Andrienko, N., Budziak, G., Von Landesberger, T. and Weber, H. (2016). Coordinate transformations for characterization and cluster analysis of spatial configurations in football. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9853, pp. 27-31. doi: 10.1007/978-3-319-46131-1_6

Andrienko, G., Andrienko, N., Burch, M and Weiskopf, D (2012). Visual analytics methodology for eye movement studies. IEEE Transactions on Visualization and Computer Graphics, 18(12), pp. 2889-2898. doi: 10.1109/TVCG.2012.276

Andrienko, G., Andrienko, N., Demsar, U., Dransch, D., Dykes, J., Fabrikant, S. I., Jern, M., Kraak, M.-J., Schumann, H. and Tominski, C. (2010). Space, time and visual analytics. International Journal of Geographical Information Science, 24(10), pp. 1577-1600. doi: 10.1080/13658816.2010.508043

Andrienko, G., Andrienko, N., Dykes, J., Fabrikant, S. I. and Wachowicz, M. (2008). Geovisualization of dynamics, movement and change: key issues and developing approaches in visualization research. Information Visualization, 7(3-4), pp. 173-180. doi: 10.1057/ivs.2008.23

Andrienko, G., Andrienko, N., Dykes, J., Kraak, M. J., Robinson, A. and Schumann, H. (2016). GeoVisual analytics: interactivity, dynamics, and scale. Cartography and Geographic Information Science, 43(1), pp. 1-2. doi: 10.1080/15230406.2016.1095006

Andrienko, G., Andrienko, N., Fischer, R., Mues, V. and Schuck, A. (2006). Reactions to geovisualization: An experience from a European project. International Journal of Geographical Information Science, 20(10), pp. 1149-1171. doi: 10.1080/13658810600816524

Andrienko, G., Andrienko, N., Fuchs, G. and Wood, J. (2016). Revealing Patterns and Trends of Mass Mobility through Spatial and Temporal Abstraction of Origin-Destination Movement Data. IEEE Transactions on Visualization and Computer Graphics, doi: 10.1109/TVCG.2016.2616404

Andrienko, G., Andrienko, N. and Heurich, M. (2011). An event-based conceptual model for context-aware movement analysis. International Journal of Geographical Information Science, 25(9), pp. 1347-1370. doi: 10.1080/13658816.2011.556120

Andrienko, G., Andrienko, N., Hurter, C., Rinzivillo, S. and Wrobel, S. (2013). Scalable analysis of movement data for extracting and exploring significant places. IEEE Transactions on Visualization and Computer Graphics, 19(7), pp. 1078-1094. doi: 10.1109/TVCG.2012.311

Andrienko, G., Andrienko, N., Jankowski, P., Keim, D., Kraak, M. J., MacEachren, A. and Wrobel, S. (2007). Geovisual analytics for spatial decision support: Setting the research agenda. International Journal of Geographical Information Science, 21(8), pp. 839-857. doi: 10.1080/13658810701349011

Andrienko, G., Andrienko, N., Keim, D., MacEachren, A. and Wrobel, S. (2011). Challenging problems of geospatial visual analytics. Journal of Visual Languages and Computing, 22(4), pp. 251-256. doi: 10.1016/j.jvlc.2011.04.001

Andrienko, G., Andrienko, N. and Weibel, R. (2017). Geographic data science. IEEE Computer Graphics and Applications, 37(5), pp. 15-17. doi: 10.1109/MCG.2017.3621219

Andrienko, N. and Andrienko, G. (2007). Designing visual analytics methods for massive collections of movement data. Cartographica, 42(2), pp. 117-138. doi: 10.3138/carto.42.2.117

Andrienko, N. and Andrienko, G. (2007). Intelligent visualisation and information presentation for civil crisis management. Transactions In Gis, 11(6), pp. 889-909. doi: 10.1111/j.1467-9671.2007.01078.x

Andrienko, N. and Andrienko, G. (2013). Visual analytics of movement: An overview of methods, tools and procedures. Information Visualization, 12(1), pp. 3-24. doi: 10.1177/1473871612457601

Andrienko, N. and Andrienko, G. (2013). A visual analytics framework for spatio-temporal analysis and modelling. Data Mining and Knowledge Discovery, 27(1), pp. 55-83. doi: 10.1007/s10618-012-0285-7

Andrienko, N., Andrienko, G., Barrett, L., Dostie, M. and Henzi, P. (2013). Space transformation for understanding group movement. IEEE Transactions on Visualization and Computer Graphics, 19(12), pp. 2169-2178. doi: 10.1109/TVCG.2013.193

Andrienko, N., Andrienko, G., Camossi, E., Claramunt, C., Cordero Garcia, J. M., Fuchs, G., Hadzagic, M., Jousselme, A-L., Ray, C., Scarlatti, D. and Vouros, G. (2017). Visual exploration of movement and event data with interactive time masks. Visual Informatics, 1(1), pp. 25-39. doi: 10.1016/j.visinf.2017.01.004

Andrienko, N., Andrienko, G. and Rinzivillo, S. (2016). Leveraging spatial abstraction in traffic analysis and forecasting with visual analytics. Lecture Notes in Computer Science, 9853 L, pp. 32-35. doi: 10.1007/978-3-319-46131-1_7

Andrienko, N., Lammarsch, T., Andrienko, G., Fuchs, G., Keim, D., Miksch, S. and Rind, A. (2018). Viewing Visual Analytics as Model Building. Computer Graphics Forum, doi: 10.1111/cgf.13324

Arrell, K., Wise, S., Wood, J. and Donoghue, D. (2008). Spectral filtering as a method of visualising and removing striped artefacts in digital elevation data. Earth Surface Processes and Landforms, 33(6), pp. 943-961. doi: 10.1002/esp.1597

Beecham, R., Dykes, J., Meulemans, W., Slingsby, A., Turkay, C. and Wood, J. (2016). Map LineUps: effects of spatial structure on graphical inference. IEEE Transactions on Visualization and Computer Graphics, 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: the international journal of the Eurographics Association, 35(3), pp. 241-249. doi: 10.1111/cgf.12900

Beecham, R. and 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, doi: 10.1177/0308518x19850580

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

Beecham, R. and 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. 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

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

Bleisch, S., Dykes, J. and Nebiker, S (2008). Evaluating the effectiveness of representing numeric information through abstract graphics in 3D desktop virtual environments. Cartographic Journal, The, 45(3), pp. 216-226.

Bouts, Q. W., Dwyer, T., Dykes, J., Speckmann, B., Goodwin, S., Henry-Riche, N., Carpendale, S. and Liebman, A. (2016). Visual Encoding of Dissimilarity Data via Topology-Preserving Map Deformation. IEEE Transactions on Visualization and Computer Graphics, 22(9), pp. 2200-2213. doi: 10.1109/TVCG.2015.2500225

Buchin, K., Buchin, M., van Leusden, R., Meulemans, W. and Mulzer, W. (2016). Computing the Fréchet Distance with a Retractable Leash. Discrete and Computational Geometry, 56(2), pp. 315-336. doi: 10.1007/s00454-016-9800-8

Chertov, O., Komarov, A., Mikhailov, A., Andrienko, G., Andrienko, N. and Gatalsky, P. (2005). Geovisualization of forest simulation modelling results: A case study of carbon sequestration and biodiversity. Computers and Electronics in Agriculture, 49(1), pp. 175-191. doi: 10.1016/j.compag.2005.02.010

Demsar, U., Slingsby, A. ORCID: 0000-0003-3941-553X and Weibel, R. (2019). Introduction to the special section on Visual Movement Analytics. Information Visualization, 18(1), pp. 133-137. doi: 10.1177/1473871618810849

Duckham, M., van Kreveld, M., Purves, R., Speckmann, B., Tao, Y., Verbeek, K. and Wood, J. (2016). Modeling Checkpoint-Based Movement with the Earth Mover's Distance. Geographic Information Science. GIScience 2016. Lecture Notes in Computer Science, 9927, doi: 10.1007/978-3-319-45738-3_15

Dykes, J., Wood, J. and Slingsby, A. (2010). Rethinking Map Legends with Visualization. IEEE Transactions on Visualization and Computer Graphics, 16(6), pp. 890-899. doi: 10.1109/TVCG.2010.191

Goodwin, S., Dykes, J., Jones, S., Dillingham, I., Dove, G., Duffy, A., Kachkaev, A., Slingsby, A. and Wood, J. (2013). Creative User-Centered Visualization Design for Energy Analysts and Modelers. IEEE Transactions on Visualization and Computer Graphics, 19(12), pp. 2516-2525. doi: 10.1109/TVCG.2013.145

Kachkaev, A., Wood, J. and Dykes, J. (2014). Glyphs for exploring crowd-sourced subjective survey classification. Computer Graphics Forum, 33(3), pp. 311-320. doi: 10.1111/cgf.12387

Lee, B., Isaacs, K., Szafir, D. A., Marai, G. E., Turkay, C. ORCID: 0000-0001-6788-251X, Tory, M., Carpendale, S. and Endert, A. (2019). Broadening Intellectual Diversity in Visualization Research Papers. IEEE Computer Graphics and Applications, pp. 78-85. doi: 10.1109/MCG.2019.2914844

Lloyd, D. and Dykes, J. (2011). Human-Centered Approaches in Geovisualization Design: Investigating Multiple Methods Through a Long-Term Case Study. Transactions in Visualization and Computer Graphics, 17(12), pp. 2498-2507. doi: 10.1109/TVCG.2011.209

Mason, J. S., Klippel, A., Bleisch, S., Slingsby, A. and Deitrick, S. (2016). Special issue introduction: Approaching spatial uncertainty visualization to support reasoning and decision making. Spatial Cognition and Computation, 16(2), pp. 97-105. doi: 10.1080/13875868.2016.1138117

Meulemans, W., Dykes, J., Slingsby, A., Turkay, C. and Wood, J. (2017). Small Multiples with Gaps. IEEE Transactions on Visualization and Computer Graphics, 23(1), pp. 381-390. doi: 10.1109/TVCG.2016.2598542

Meulemans, W. and Haunert, J-H. (2016). Partitioning Polygons via Graph Augmentation. Lecture Notes in Computer Science, 9927, pp. 18-33. doi: 10.1007/978-3-319-45738-3

Meyer, M. and Dykes, J. ORCID: 0000-0002-8096-5763 (2019). Criteria for Rigor in Visualization Design Study. IEEE Transactions on Visualization and Computer Graphics,

Meyer, M. and Dykes, J. ORCID: 0000-0002-8096-5763 (2018). Reflection on Reflection in Applied Visualization Research Generating Knowledge From Practice. IEEE Computer Graphics and Applications, 38(6), pp. 9-16. doi: 10.1109/MCG.2018.2874523

Nguyen, P. ORCID: 0000-0001-5643-0585, Henkin, R. ORCID: 0000-0002-5511-5230, Chen, S., Andrienko, N. ORCID: 0000-0003-3313-1560, Andrienko, G. ORCID: 0000-0002-8574-6295, Thonnard, O. and Turkay, C. ORCID: 0000-0001-6788-251X (2019). VASABI: Hierarchical User Profiles for Interactive Visual User Behaviour Analytics. IEEE Transactions on Visualization and Computer Graphics, doi: 10.1109/TVCG.2019.2934609

Perin, C. ORCID: 0000-0002-7324-9363, Vuillemot, R., Stolper, C., Stasko, J., Wood, J. ORCID: 0000-0001-9270-247X and Carpendale, S. (2018). State of the Art of Sports Data Visualization. Computer Graphics Forum, 37(3), pp. 663-686. doi: 10.1111/cgf.13447

Purves, R., Edwardes, A. and Wood, J. (2011). Describing place through user generated content. First Monday, 16(9),

Rinzivillo, S., Pedreschi, D., Nanni, M., Giannotti, F., Andrienko, N. and Andrienko, G. (2008). Visually driven analysis of movement data by progressive clustering. Information Visualization, 7(3-4), pp. 225-239. doi: 10.1057/palgrave.ivs.9500183

Slingsby, A., Beecham, R. and 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. 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

Slingsby, A., Dykes, J. and Wood, J. (2009). Configuring Hierarchical Layouts to Address Research Questions. IEEE Transactions on Visualization and Computer Graphics, 15(6), pp. 977-984. doi: 10.1109/TVCG.2009.128

Slingsby, A., Dykes, J. and Wood, J. (2011). Exploring Uncertainty in Geodemographics with Interactive Graphics. IEEE Transactions on Visualization and Computer Graphics, 17(12), pp. 2545-2554. doi: 10.1109/TVCG.2011.197

Slingsby, A., Dykes, J. and Wood, J. (2010). Rectangular Hierarchical Cartograms for Socio-Economic Data. Journal of Maps, pp. 330-345. doi: 10.4113/jom.2010.1090

Slingsby, A., Dykes, J. and Wood, J. (2008). Using treemaps for variable selection in spatio-temporal visualisation. Information Visualization, 7(3-4), pp. 210-224. doi: 10.1057/palgrave.ivs.9500185

Slingsby, A., Dykes, J., Wood, J. and Radburn, R. (2014). Designing an Exploratory Visual Interface to the Results of Citizen Surveys. International Journal of Geographical Information Science, doi: 10.1080/13658816.2014.920845

Slingsby, A., Kelly, M. and Dykes, J. (2014). Featured graphic. OD maps for showing changes in Irish female migration between 1851 and 1911. Environment and Planning A, 46(12), pp. 2795-2797. doi: 10.1068/a140112g

Slingsby, A., Wood, J. and Dykes, J. (2010). Treemap Cartography for showing Spatial and Temporal Traffic Patterns. Journal of Maps, pp. 135-146. doi: 10.4113/jom.2010.1071

Slingsby, A. and van Loon, E. (2016). Exploratory Visual Analysis for Animal Movement Ecology. Computer Graphics Forum, 35(3), pp. 471-480. doi: 10.1111/cgf.12923

Stein, M., Janetzko, H., Lamprecht, A., Breitkreutz, T., Zimmermann, P., Goldlucke, B., Schreck, T., Andrienko, G., Grossniklaus, M. and Keim, D. (2017). Bring it to the Pitch: Combining Video and Movement Data to Enhance Team Sport Analysis. IEEE Transactions on Visualization and Computer Graphics, doi: 10.1109/TVCG.2017.2745181

Tominski, C., Schumann, H., Andrienko, G. and Andrienko, N. (2012). Stacking-based visualization of trajectory attribute data. IEEE Transactions on Visualization and Computer Graphics, 18(12), pp. 2565-2574.

Turkay, C., Kaya, E., Balcisoy, S. and Hauser, H. (2017). Designing Progressive and Interactive Analytics Processes for High-Dimensional Data Analysis. IEEE Transactions on Visualization and Computer Graphics, 23(1), pp. 131-140. doi: 10.1109/TVCG.2016.2598470

Turkay, C., Slingsby, A., Hauser, H., Wood, J. and Dykes, J. (2014). Attribute Signatures: Dynamic Visual Summaries for Analyzing Multivariate Geographical Data. IEEE Transactions on Visualization and Computer Graphics, 20(12), pp. 2033-2042. doi: 10.1109/TVCG.2014.2346265

Turkay, C., Slingsby, A., Lahtinen, K., Butt, S. and Dykes, J. (2017). Supporting Theoretically-grounded Model Building in the Social Sciences through Interactive Visualisation. Neurocomputing, 268, pp. 153-163. doi: 10.1016/j.neucom.2016.11.087

Van Goethem, A., Meulemans, W., Speckmann, B. and Wood, J. (2014). Exploring curved schematization. IEEE Pacific Visualization Symposium, pp. 1-8. doi: 10.1109/PacificVis.2014.11

Van Goethem, A., Reimer, A., Speckmann, B. and Wood, J. (2014). Stenomaps: Shorthand for shapes. IEEE Transactions on Visualization and Computer Graphics, 20(12), pp. 2053-2062. doi: 10.1109/TVCG.2014.2346274

Van Goethem, A., Staals, F., Loffler, M., Dykes, J. and Speckmann, B. (2017). Multi-Granular Trend Detection for Time-Series Analysis. IEEE Transactions on Visualization and Computer Graphics, 23(1), pp. 661-670. doi: 10.1109/TVCG.2016.2598619

Vrotsou, K., Janetzko, H., Navarra, C., Fuchs, G., Spretke, D., Mansmann, F., Andrienko, N. and Andrienko, G. (2015). SimpliFly: A Methodology for Simplification and Thematic Enhancement of Trajectories.. IEEE Transactions on Visualization and Computer Graphics, 21(1), pp. 107-121. doi: 10.1109/TVCG.2014.2337333

Walker, R., Slingsby, A., Dykes, J., Xu, K., Wood, J., Nguyen, P., Stephens, D., Wong, W. and Zheng, Y. (2013). An Extensible Framework for Provenance in Human Terrain Visual Analytics. IEEE Transactions on Visualization and Computer Graphics, 19(12), pp. 2139-2148. doi: 10.1109/TVCG.2013.132

Wood, J., Badawood, D., Dykes, J. and Slingsby, A. (2011). BallotMaps: Detecting name bias in alphabetically ordered ballot papers. IEEE Transactions on Visualization and Computer Graphics, 17(12), pp. 2384-2391.

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

Wood, J. and Dykes, J. (2008). Spatially Ordered Treemaps. IEEE Transactions on Visualization and Computer Graphics, 14(6), pp. 1348-1355. doi: 10.1109/TVCG.2008.165

Wood, J., Dykes, J. and Slingsby, A. (2010). Visualisation of Origins, Destinations and Flows with OD Maps. Cartographic Journal, The, 47(2), pp. 117-129. doi: 10.1179/000870410X12658023467367

Wood, J., Dykes, J., Slingsby, A. and Clarke, K. (2007). Interactive visual exploration of a large spatio-temporal dataset: Reflections on a geovisualization mashup. IEEE Transactions on Visualization and Computer Graphics, 13(6), pp. 1176-1183. doi: 10.1109/TVCG.2007.70570

Wood, J., Isenberg, P., Isenberg, T., Dykes, J., Boukhelifa, N. and Slingsby, A. (2012). Sketchy rendering for information visualization. IEEE Transactions on Visualization and Computer Graphics, 18(12), pp. 2749-2758. doi: 10.1109/TVCG.2012.262

Wood, J. ORCID: 0000-0001-9270-247X, Kachkaev, A. and Dykes, J. ORCID: 0000-0002-8096-5763 (2018). Design Exposition with Literate Visualization. IEEE Transactions on Visualization and Computer Graphics, 25(1), doi: 10.1109/TVCG.2018.2864836

Wood, J., Slingsby, A. and Dykes, J. (2011). Visualizing the dynamics of London's bicycle hire scheme. Cartographica, 46(4), pp. 239-251.

Zhang, Q. C., Slingsby, A., Dykes, J., Wood, J., Kraak, M. J., Blok, C. A. and Ahas, R. (2013). Visual analysis design to support research into movement and use of space in Tallinn: A case study. Information Visualization, doi: 10.1177/1473871613480062

van Goethem, D.A., Haverkort, H., Meulemans, W., Reimer, A., Speckmann, B. and Wood, J. (2014). Automatic schematization with curved lines. Geo-Info, 2014(2), pp. 10-13.

Book Section

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). Farnham: Ashgate. ISBN 978-1-4724-5361-7

Kornfeld, A., Schiewe, J. and Dykes, J. (2011). Audio Cartography: Visual Encoding of Acoustic Parameters. In: Advances in Cartography and GIScience. Lecture Notes in Geoinformation and Cartography, 1. (pp. 13-31). Amsterdam, the Netherlands: Springer.

McCurdy, N., Dykes, J. and Meyer, M. (2016). Action Design Research and Visualization Design. In: Proceedings of the Sixth Workshop on Beyond Time and Errors on Novel Evaluation Methods for Visualization. (pp. 10-18). New York, USA: ACM. ISBN 978-1-4503-4818-8

Slingsby, A. and Raper, J. (2008). Navigable Space in 3D City Models for Pedestrians. In: VanOosterom, P., Zlatanova, S., Penninga, F. and Fendel, E. (Eds.), Advances in 3D Geoinformation Systems. Lecture Notes in Geoinformation and Cartography. (pp. 49-64). London, UK: Springer. ISBN 9783540721352

Monograph

Badawood, D. (2012). Evaluation of storytelling in information visualization (MPhil to PhD Transfer Report). London, UK: City University London.

Slingsby, A. (2011). Supporting the visual analysis of the behaviour of gulls (COST-STSM-IC0903-7590). European Cooperation in Science and Technology.

Conference or Workshop Item

Ali, R. and Dykes, J. (2011). ESRI vs BREWER: An Evaluation of Map Use with Alternative Colour Schemes amongst the General Public. Paper presented at the 19th annual GIS Research UK (GISRUK), 27 - 29 Apr 2011, Portsmouth, UK.

Ali, R., Dykes, J. and Wood, J. (2013). Framework for Studying Spatially Ordered Treemaps. Paper presented at the 26th International Cartographic Conference: From Pole to Pole, 25 - 30 August 2013, Dresden, Germany.

Allain, K., Turkay, C. ORCID: 0000-0001-6788-251X and Dykes, J. ORCID: 0000-0002-8096-5763 (2019). Towards a WHAT-WHY-HOW Taxonomy of Trajectories in Visualization Research. Poster presented at the EuroVis 2019, 3-7 Jun 2019, Porto, Portugal.

Andrienko, G. and Andrienko, N. (2013). Exploring Trajectory Attributes in Brest Harbor. Paper presented at the COST MOVE Workshop on Moving Objects at Sea, 27 - 28 Jun 2013, Brest, France.

Andrienko, G. and Andrienko, N. (2013). Spatio-temporal analysis of flows in CDC 2013 data. Paper presented at the Understanding Urban Cycling: A Data Challenge, 14 Nov 2013, Leuven, Belgium.

Andrienko, G., Andrienko, N., Fuchs, G., Olteanu Raimond, A. M., Symanzik, J. and Ziemlicki, C. (2013). Extracting Semantics of Individual Places from Movement Data by Analyzing Temporal Patterns of Visits. Paper presented at the 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL GIS 2013), 5 - 8 Nov 2013, Orlando, FL, US.

Andrienko, N. and Andrienko, G. (2013). Exploring Traffic in Brest Harbor by Trajectory Aggregation. Paper presented at the COST MOVE Workshop on Moving Objects at Sea, 27 - 28 Jun 2013, Brest, France.

Andrienko, N., Andrienko, G. and Fuchs, G. (2013). Towards Privacy-Preserving Semantic Mobility Analysis. Paper presented at the EuroVis 2013, 17 - 21 Jun 2013, Leipzig, Germany.

Badawood, D. and Wood, J. (2012). Effects of candidate position on ballot papers: Exploratory visualization of voter choice in the London local council elections 2010. Paper presented at the Geographic Information Science Research UK 19th Annual Conference (GISRUK 2011), 27 - 29 Apr 2011, University of Portsmouth, Portsmouth, UK.

Badawood, D. and Wood, J. (2012). The effect of information visualization delivery on narrative construction and development. Poster presented at the IEEE Conference on Information Visualization (InfoVis), 14 - 19 Oct 2012, Seattle, Washington, US.

Badawood, D. and Wood, J. (2013). A visual language to characterise transitions in narrative visualization. Poster presented at the IEEE Conference on Information Visualization (InfoVis), 13-18 October 2013, Atlanta, Georgia, USA.

Beecham, R., Dykes, J., Slingsby, A. and 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. and 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., Slingsby, A., Brunsdon, C. and Radburn, R. (2017). Spatially varying explanations behind the UKs vote to leave the EU. Paper presented at the 25th Geographical Information Science (GIS) Research UK Conference, 18 Apr 2017 - 21 Apr 2017, Manchester, UK.

Beecham, R. and 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.

Beecham, R., Wood, J. and 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. and 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.

Bleisch, S., Dykes, J. and Nebiker, S. (2009). Building bridges between methodological approaches: a meta-framework linking experiments and applied studies in 3D geovisualization research. Paper presented at the GIS Research UK 17th Annual Conference (GISRUK 2009), 1 - 3 Apr 2009, University of Durham, Durham, UK.

Bouts, Q. W., Kostitsyna, I., van Kreveld, M., Meulemans, W., Sonke, W. and Verbeek, K. (2016). Mapping polygons to the grid with small Hausdorff and Fréchet distance. In: Sankowski, P. and Zaroliagis, C. (Eds.), 24rd Annual European Symposium on Algorithms (ESA 2016). (197:1-197:15). Germany: Dagstuhl Publishing. ISBN 978-3-95977-015-6

Clarke, J., Dykes, J., Hemsley-Flint, F., Medyckyj-Scott, D., Sietinsone, L., Slingsby, A., Urwin, T. and Wood, J. (2010). vizLegends : Re-Imagining Map Legends with Visualization. Paper presented at the GIS Research UK 18th Annual Conference (GISRUK 2010), 14 - 16 Apr 2010, University College London, London, UK.

Dillingham, I., Dykes, J. and Wood, J. (2012). Characterising Locality Descriptions in Crowdsourced Crisis Information. Paper presented at the GIS Research UK 20th Annual Conference (GISRUK 2012), 11 - 13 Apr 2012, Lancaster University, Lancaster, UK.

Dillingham, I., Dykes, J. and Wood, J. (2012). A Design, Analysis and Evaluation Model to Support the Visualization Designer-User. Poster presented at the IEEE Conference on Information Visualization (InfoVis), 14 - 19 Oct 2012, Seattle, Washington, US.

Dillingham, I., Dykes, J. and Wood, J. (2012). Exploring Patterns of Uncertainty in Crowdsourced Crisis Information. Poster presented at the EuroVA 2012, 4 - 5 Jun 2012, Vienna, Austria.

Dillingham, I., Dykes, J. and Wood, J. (2011). Visual Analytical Approaches to Evaluating Uncertainty and Bias in Crowdsourced Crisis Information. Poster presented at the IEEE Conference on Visual Analytics Science and Technology, 23 - 28 Oct 2011, Providence, Rhode Island, USA.

Dillingham, I., Dykes, J. and Wood, J. (2013). Visualizing the Geographies of the Haiti Crisis Map. Paper presented at the GeoViz Hamburg: Interactive Maps that Help People Think, 6 - 8 Mar 2013, HafenCity University, Hamburg, Germany.

Dillingham, I., Mills, B. and Dykes, J. (2011). Exploring Road Incident Data with Heat Maps. Poster presented at the Geographic Information Science Research UK 19th Annual Conference (GISRUK 2011), 27 - 29 Apr 2011, University of Portsmouth, Portsmouth, UK.

Dillingham, I., Wood, J. and Dykes, J. (2013). Types, Granularities and Combinations of Geographic Objects in the Haiti Crisis Map. Paper presented at the GIS Research UK 21st Annual Conference (GISRUK 2013), 3 - 5 Apr 2013, University of Liverpool, Liverpool, UK.

Dove, G., Jones, S., Dykes, J., Brown, A. E. and Duffy, A. (2013). Using data visualization in creativity workshops: a new tool in the designer's kit. Paper presented at the 9th ACM Conference on Creativity & Cognition, 17 - 20 Jun 2013, Sydney, Australia.

Dykes, J. and Bleisch, S. (2006). Planning Hikes Virtually: How Useful are Web-based 3D Visualizations?. Paper presented at the GIS Research UK 14th Annual Conference (GISRUK 2006), 5 - 7 Apr 2006, University of Nottingham, Nottingham, UK.

Dykes, J., Lloyd, D. and Radburn, R. (2007). Understanding geovisualization users and their requirements: a user-centred approach. Paper presented at the GIS Research UK 15th Annual Conference (GISRUK 2007), Maynooth, Ireland.

Dykes, J., Lloyd, D. and Radburn, R. (2009). Using the Analytic Hierarchy Process to prioritise candidate improvements to a geovisualization application. Paper presented at the GIS Research UK 17th Annual Conference (GISRUK 2009), 1 - 3 Apr 2009, University of Durham, Durham, UK.

Dykes, J. and Mountain, D. (2002). What I did on my vacation: spatio-temporal log analysis with interactive graphics and morphometric surface derivative. Paper presented at the GIS Research UK 10th Annual Conference (GISRUK 2002), 3 - 5 Apr 2002, Sheffield, UK.

Dykes, J., Rooney, C., Beecham, R., Turkay, C., Slingsby, A., Wood, J. and 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.

Fekete, J., Hemery, P., Baudel, T. and Wood, J. (2011). Obvious: a meta-toolkit to encapsulate information visualization toolkits. One toolkit to bind them all. Paper presented at the IEEE Conference on Visual Analytics Science and Technology, 23 - 28 Oct 2011, Providence, Rhode Island, USA.

Fuchs, G., Andrienko, G., Andrienko, N. and Jankowski, P. (2013). Extracting Personal Behavioral Patterns from Geo-Referenced Tweets. Paper presented at the 16th AGILE Conference on Geographic Information Science, 14 - 17 May 2013, Leuven, Belgium.

Fuchs, G., Andrienko, N., Andrienko, G., Bothe, S. and Stange, H. (2013). Tracing the German Centennial Flood in the Stream of Tweets: First Lessons Learned. Paper presented at the 2nd ACM SIGSPATIAL International Workshop on Crowdsourced and Volunteered Geographic Information (GEOCROWD) 2013, 5 Nov 2013, Orlando, FL, US.

Goodwin, S. and Dykes, J. (2008). Do Local Information Systems Hide the Bigger Picture? An analytical approach to measuring the strength of local boundaries. Paper presented at the GIS Research UK 16th Annual Conference (GISRUK 2008), 2 - 4 Aug 2008, Manchester Metropolitan University, Manchester, UK.

Goodwin, S. and Dykes, J. (2012). Geovisualization of household energy consumption characteristics. Poster presented at the GIS Research UK 20th Annual Conference (GISRUK 2012), 11 - 13 Apr 2012, Lancaster University, Lancaster UK.

Goodwin, S. and Dykes, J. (2012). Visualising Variations in Household Energy Consumption. Poster presented at the IEEE Conference on Visual Analytics Science and Technology (VAST), 14 - 19 Oct 2012, Seattle, Washington, US.

Goodwin, S., Dykes, J. and Slingsby, A. (2014). Visualizing the Effects of Scale and Geography in Multivariate Comparison. Poster presented at the IEEE Conference on Visual Analytics Science and Technology, 09-11-2014 - 14-11-2014, Paris, France.

Henkin, R., Kachkaev, A. and Slingsby, A. (2014). Summarising the structure of an organisation and reconstructing a chain of events - VAST 2014 Mini-Challenge 1 Submission Honourable Mention for Novelty in Visualization. Paper presented at the IEEE Conference on Visual Analytics Science and Technology, 09-11-2014 - 14-11-2014, Paris, France.

Kachkaev, A., Dillingham, I., Beecham, R., Goodwin, S., Ahmed, N. and 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). (pp. 269-270). IEEE. ISBN 978-1-4673-4752-5

Kachkaev, A. and Wood, J. (2014). Automated planning of leisure walks based on crowd-sourced photographic content. Paper presented at the 46th Annual Universities’ Transport Study Group Conference, 06-01-2014 - 08-01-2014, Newcastle, UK.

Kachkaev, A. and Wood, J. (2013). Crowd-sourced Photographic Content for Urban Recreational Route Planning. Paper presented at the University Transport Study Group UK Annual Conference, 2 - 4 Jan 2013, Oxford, UK.

Kachkaev, A. and Wood, J. (2013). Exploring Subjective Survey Classification of a Photographic Archive using Visual Analytics. Poster presented at the IEEE Conference on Information Visualization (IEEE VIS 2013), 13 - 18 Oct 2013, Atlanta, Georgia, US.

Kachkaev, A. and Wood, J. (2013). Investigating Spatial Patterns in User-Generated Photographic Datasets by Means of Interactive Visual Analytics. Paper presented at the GeoViz Hamburg: Interactive Maps that Help People Think, 6 - 8 Mar 2013, HafenCity University, Hamburg, Germany.

Kachkaev, A. and Wood, J. (2012). Using Visual Analytics to Detect Problems in Datasets Collected From Photo-Sharing Services. Poster presented at the IEEE Conference on Information Visualization (InfoVis), 14 - 19 Oct 2012, Seattle, Washington, US.

Katner, K. and Jianu, R. ORCID: 0000-0002-5834-2658 (2019). The Effectiveness of Nudging in Commercial Settings and Impact on User Trust. In: CHI EA '19 Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems. (LBW2716.). New York, USA: ACM. ISBN 978-1-4503-5971-9

Kelly, M., Slingsby, A., Dykes, J. and Wood, J. (2013). Historical Internal Migration in Ireland. Paper presented at the GIS Research UK (GISRUK), Apr 2013, Liverpool, UK.

Khalili, N., Wood, J. and Dykes, J. (2009). Mapping the geography of social networks. Paper presented at the GIS Research UK, 17th Annual Conference, 1 - 3 Apr 2009, University of Durham, Durham, UK.

Koh, L. C., Slingsby, A., Dykes, J. and Kam, T. S. (2011). Developing and applying a user-centered model for the design and implementation of information visualization tools. Proceedings of the International Conference on Information Visualisation, pp. 90-95. ISSN 1093-9547

Kölzsch, A., Slingsby, A., Wood, J., Nolet, B. A. and Dykes, J. (2013). Visualisation design for representing bird migration tracks in time and space. Paper presented at the Workshop on Visualisation in Environmental Sciences (EnvirVis), Jul 2013, Leipzig, Germany.

Lloyd, D. and Dykes, J. (2006). Investigating Catchment Area Anomalies for a North England Store. Paper presented at the GIS Research UK 14th Annual Conference (GISRUK 2006), 5 - 7 Apr 2006, University of Nottingham, Nottingham, UK.

Lloyd, D., Dykes, J. and Radburn, R. (2008). Mediating geovisualization to potential users and prototyping a geovisualization application. Paper presented at the GIS Research UK 16th Annual Conference GISRUK 2008, 2 - 4 Aug 2008, Manchester Metropolitan University, Manchester, UK.

Nguyen, P., Turkay, C., Andrienko, G., Andrienko, N. and Thonnard, O. (2017). A Visual Analytics Approach for User Behaviour Understanding through Action Sequence Analysis. Paper presented at the EuroVis Workshop on Visual Analytics, 12-13 Jun 2017, Barcelona, Spain.

Radburn, R., Beecham, R., Dykes, J., Wood, J. and 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.

Sevastjanova, R., Becker, F., Ell, B., Turkay, C. ORCID: 0000-0001-6788-251X, Henkin, R. ORCID: 0000-0002-5511-5230, Butt, M., Keim, D. and Mennatallah, E-A. (2018). Going beyond Visualization. Verbalization as Complementary Medium to Explain Machine Learning Models. Paper presented at the VIS Workshop on Visualization for AI Explainability (VISxAI), 22 October 2018, Berlin, Germany.

Silva, N., Blascheck, T., Jianu, R., Rodriguez, N., Raubal, M., Schreck, T. and Weiskopf, D. (2019). Eye Tracking Support for Visual Analytics Systems. In: Krejtz, K. and Sharif, B. (Eds.), ETRA '19 Proceedings of the 11th ACM Symposium on Eye Tracking Research & Applications. (11.). New York, USA: ACM. ISBN 978-1-4503-6709-7

Slingsby, A. (2007). A Layer-Based Data Model as a Basis for Structuring 3D Geometrical Built-Environment Data with Poorly-Specified heights, in a GIS Context. Paper presented at the 10th AGILE International Conference on Geographic Information Science, Apr 2007, Aalborg, Denmark.

Slingsby, A. (2003). An Object-Orientated Approach to Hydrological Modelling using Triangular Irregular Networks. Paper presented at the GISRUK03, Apr 2003, London, UK.

Slingsby, A. ORCID: 0000-0003-3941-553X (2018). Tilemaps for Summarising Multivariate Geographical Variation. Paper presented at the VIS 2018, 21-26 Oct 2018, Berlin, Germany.

Slingsby, A. and Dykes, J. (2012). Experiences in involving analysts in visualisation design. Paper presented at the BELIV '12: Beyond Time and Errors - Novel Evaluation Methods for Visualization, 14 - 15 Oct 2012, Seattle, USA.

Slingsby, A., Dykes, J., Wood, J. and Clarke, K. (2007). Interactive tag maps and tag clouds for the multiscale exploration of large spatio-temporal datasets. Information Visualization, 2007. IV '07. 11th International Conference, pp. 497-504. ISSN 1550-6037

Slingsby, A., Dykes, J., Wood, J. and Clarke, K. (2007). Mashup cartography: cartographic issues of using Google Earth for tag maps. Paper presented at the ICA Commission on Maps and the Internet, 31 Jul - 2 Aug 2007, Warsaw, Poland.

Slingsby, A., Dykes, J., Wood, J., Foote, M. and Blom, M. (2008). The Visual Exploration of Insurance Data in Google Earth. Paper presented at the GISRUK08, 2 - 4 Apr 2008, Manchester Metropolitan University, Manchester, UK.

Slingsby, A., Dykes, J., Wood, J. and Radburn, R. (2010). OAC Explorer: Interactive exploration and comparison of multivariate socioeconomic population characteristics. Paper presented at the GIS Research UK 18th Annual Conference, 14 - 16 Apr 2010, University College London, London, UK.

Slingsby, A. ORCID: 0000-0003-3941-553X, Hyde, J. and Turkay, C. ORCID: 0000-0001-6788-251X (2019). Visual Analysis of Reactionary Train Delay from an Agent Based Model. Poster presented at the EuroVis 2019, 3-7 Jun 2019, Porto, Portugal.

Slingsby, A., Kelly, M., Dykes, J. and Wood, J. (2012). OD Maps for Studying Historical Internal Migration in Ireland. Poster presented at the IEEE Conference on Information Visualization (InfoVis), 14 - 19 Oct 2012, Seattle, Washington, US.

Slingsby, A. and Longley, P. A. (2006). A Conceptual Framework for Describing Microscale Pedestrian Access in the Built Environment. Paper presented at the GISRUK06, 5 - 7 Apr 2006, University of Nottingham, Nottingham, UK.

Slingsby, A., Longley, P. A. and Parker, C. A. (2004). Aspects of the Design of a Three-Dimensional National Mapping Data Framework. Paper presented at the GISRUK04, 28 - 30 Apr 2004, University of East Anglia, Norwich, UK.

Slingsby, A., Lowe, R., Dykes, J., Stephenson, D., Wood, J. and Jupp, T. (2009). A pilot study for the collaborative development of new ways of visualising seasonal climate forecasts. Paper presented at the GIS Research UK, 17th Annual Conference, 1 - 3 Apr 2009, University of Durham, Durham, UK.

Slingsby, A. ORCID: 0000-0003-3941-553X, Paterson, A., Rigby, M., Grace, K., Nguyen, P. ORCID: 0000-0001-5643-0585, Perin, C. ORCID: 0000-0002-7324-9363, Turkay, C. ORCID: 0000-0001-6788-251X and Aljasem, D. (2018). Characterising Farms by the Movement of Animals through Them. Paper presented at the VIS 2018, 21-26 Oct 2018, Berlin, Germany.

Slingsby, A. and Radburn, R. (2013). Green Spaces: Interactively Mapping the Results of a Public Consultation. Paper presented at the GeoViz Hamburg: Interactive Maps that Help People Think, Mar 2013, HafenCity University, Hamburg, Germany.

Slingsby, A., Strachan, J., Dykes, J., Wood, J. and Vidale, P. (2011). Designing Interactive Graphics for Validating and Interpreting Storm Track Model Outputs. Paper presented at the GeoViz workshop, Mar 2011, Hamburg, Germany.

Slingsby, A., Strachan, J., Vidale, P., Dykes, J. and Wood, J. (2010). Making hurricane track data accessible. Paper presented at the Discovery Exhibition at Visweek 2010, 24 - 29 October 2010, Salt Lake City, USA.

Slingsby, A., Tate, N. and Fisher, P. (2014). Visualisation of Uncertainty in a Geodemographic Classifier. Paper presented at the GIScience 2014: Uncertainty Workshop, 23 September 2014, Vienna.

Slingsby, A., Wood, J. and Dykes, J. (2011). Visualizing Bicycle Hire Model Distributions. Paper presented at the GeoViz workshop, Mar 2011, Hamburg, Germany.

Slingsby, A., Wood, J., Dykes, J., Clouston, D. and Foote, M. (2010). Visual analysis of sensitivity in CAT models: interactive visualisation for CAT model sensitivity analysis. Paper presented at the Accuracy 2010 Symposium, 20 - 23 Jul 2010, Leicester, UK.

Slingsby, A. and van Loon, E. (2013). Visual Analytics for Exploring Changes in Biodiversity. Paper presented at the Workshop on Visualisation in Environmental Sciences (EnvirVis), Jul 2013, Leipzig, Germany.

Slingsby, A. and van Loon, E. (2017). Visual Characterisation of Temporal Occupancy for Movement Ecology. Paper presented at the Workshop on Visualisation in Environmental Sciences (EnvirVis), 12-13 Jun 2017, Barcelona, Spain.

Turkay, C., Slingsby, A., Hauser, H., Wood, J. and Dykes, J. (2014). Interactive Generation of Visual Summaries for Multivariate Geographical Data Analysis. Paper presented at the GIScience 2014: Eighth International Conference on Geographic Information Science, 23-26 September 2014, Vienna.

Turkay, C., Slingsby, A., Lahtinen, K., Butt, S. and Dykes, J. (2016). Enhancing a Social Science Model-building Workflow with Interactive Visualisation. Paper presented at the The European Symposium on Artificial Neural Networks (ESANN 2016), 27-29 Apr 2016, Bruges, Belgium.

Wood, J. ORCID: 0000-0001-9270-247X (2017). Visual Analytic Design for Detecting Airborne Pollution Sources. Paper presented at the IEEE VIS, VAST Workshop, 1-6 Oct 2017, Phoenix, USA.

Wood, J. (2014). Visual analytics of GPS tracks: From location to place to behaviour. Paper presented at the 2014 IEEE Conference on Visual Analytics Science and Technology, 9-14 October 2014, Paris, France.

Wood, J. and Badawood, D. (2014). The Effect of Information Visualization Delivery on Narrative Construction and Development. Paper presented at the Eurographics Conference on Visualization (EuroVis), 09 June - 13 June 2014, Swansea, UK.

Wood, J., Dykes, J., Slingsby, A. and Radburn, R. (2009). Flow trees for exploring spatial trajectories. Paper presented at the GIS Research UK, 17th Annual Conference, 1 - 3 Apr 2009, University of Durham, Durham, UK.

Wood, J., Radburn, R. and Dykes, J. (2010). vizLib: Using The Seven Stages of Visualization to Explore Population Trends and Processes in Local Authority Research. Paper presented at the GIS Research UK 18th Annual Conference, 14 - 16 Apr 2010, University College London, London, UK.

Wood, J., Slingsby, A. and Dykes, J. (2010). Designing visual analytics systems for disease spread and evolution: VAST 2010 mini challenge 2 and 3 award: Good overall design and analysis. Paper presented at the Visual Analytics Science and Technology (VAST), 2010 IEEE Symposium on, 25 - 26 Oct 2010, Salt Lake City, Utah, US.

Wood, J., Slingsby, A. and Dykes, J. (2010). Layout and colour transformations for visualizing OAC data. Paper presented at the GIS Research UK 18th Annual Conference, 14 - 16 Apr 2010, University College London, London, UK.

Wood, J., Slingsby, A., Khalili-Shavarini, N., Dykes, J. and Mountain, D. (2009). Visualization of uncertainty and analysis of geographical data. Paper presented at the Visual Analytics Science and Technology, 2009. VAST 2009. IEEE Symposium on, 12 - 13 Oct 2009, Atlantic City, NJ, USA.

Thesis

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

Dillingham, I. (2013). Exploring the geographic uncertainty associated with crowdsourced crisis information: a geovisualisation approach. (Unpublished Doctoral thesis, City University London)

Goodwin, S. (2015). Visualisation for household energy analysis: techniques for exploring multiple variables across scale and geography. (Unpublished Doctoral thesis, City University London)

Kachkaev, A. (2014). Visual Analytic Extraction of Meaning from Photo-Sharing Services for Leisure Pedestrian Routing. (Unpublished Doctoral thesis, City University London)

Report

Dillingham, I. (2012). Visual Analytical Approaches to Evaluate Uncertainty and Bias in Crowdsourced Crisis Information (MPhil to PhD transfer). London, UK: City University London.