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Depicting spatial and temporal aspects of traffic flows of different types is challenging. We use a treemap based
technique that is able to show multiple aspects of large quantities of spatial and temporal traffic data simultaneously. Treemaps present multivariate data as a hierarchy of rectangles that are nested within each other. Each level of the hierarchy is used to carry information about one variable, with rectangle size, arrangement and colour being potential information-carrying ‘channels’ for reflecting properties of the data.
We show information about the vehicles operated by eCourier (UK) Ltd. by location, vehicle type, day of the week and hour of the day. Our two maps use colour to show the volumes and speeds of traffic at each of 82,320 combinations of location, vehicle type, day of week and hour of day, concurrently. Crucially, we use a regular grid to represent location, give all the treemap nodes a constant size and order them spatially. This cartographic representation allows multiple aspects of large traffic datasets to be viewed concurrently, such that spatial and temporal patterns can be identified.
|Uncontrolled Keywords:||VISUALIZATION, MAPS|
|Subjects:||G Geography. Anthropology. Recreation > GA Mathematical geography. Cartography|
|Divisions:||School of Informatics > Department of Information Science
School of Informatics > giCentre
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