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What is TfL

Handbook of Research on Big Data Storage and Visualization Techniques
Transport for London, the local government organization responsible for most aspects of London's transport system.
Published in Chapter:
Visualization of Big Data Sets Using Computer Graphics
Anna Ursyn (University of Northern Colorado, USA) and Edoardo L'Astorina (Blu Frame, UK)
DOI: 10.4018/978-1-5225-3142-5.ch020
This chapter discusses some possible ways of how professionals, researchers and users representing various knowledge domains are collecting and visualizing big data sets. First it describes communication through senses as a basis for visualization techniques, computational solutions for enhancing senses and ways of enhancing senses by technology. The next part discusses ideas behind visualization of data sets and ponders what is and what not visualization is. Further discussion relates to data visualization through art as visual solutions of science and mathematics related problems, documentation objects and events, and a testimony to thoughts, knowledge and meaning. Learning and teaching through data visualization is the concluding theme of the chapter. Edoardo L'Astorina provides visual analysis of best practices in visualization: An overlay of Google Maps that showed all the arrival times - in real time - of all the buses in your area based on your location and visual representation of all the Tweets in the world about TfL (Transport for London) tube lines to predict disruptions.
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