Visualizing n-dimensional virtual worlds with n-vision
I3D '90 Proceedings of the 1990 symposium on Interactive 3D graphics
Tree visualization with tree-maps: 2-d space-filling approach
ACM Transactions on Graphics (TOG)
Information Visualization and Visual Data Mining
IEEE Transactions on Visualization and Computer Graphics
Auto Visual: Rule-Based Design of Interactive Multivariate Visualizations
IEEE Computer Graphics and Applications
The Eyes Have It: A Task by Data Type Taxonomy for Information Visualizations
VL '96 Proceedings of the 1996 IEEE Symposium on Visual Languages
INFOVIS '01 Proceedings of the IEEE Symposium on Information Visualization 2001 (INFOVIS'01)
Exploring N-dimensional databases
VIS '90 Proceedings of the 1st conference on Visualization '90
The Effect of Aesthetic on the Usability of Data Visualization
IV '07 Proceedings of the 11th International Conference Information Visualization
IV '07 Proceedings of the 11th International Conference Information Visualization
Browsing Zoomable Treemaps: Structure-Aware Multi-Scale Navigation Techniques
IEEE Transactions on Visualization and Computer Graphics
Geovisual analytics for spatial decision support: Setting the research agenda
International Journal of Geographical Information Science - Geovisual Analytics for Spatial Decision Support
IEEE Transactions on Visualization and Computer Graphics
A chorem-based approach for visually analyzing spatial data
Journal of Visual Languages and Computing
Visualization with a new visual metaphor for hierarchical and stratified temporal domain
W2GIS'12 Proceedings of the 11th international conference on Web and Wireless Geographical Information Systems
Space-in-time and time-in-space self-organizing maps for exploring spatiotemporal patterns
EuroVis'10 Proceedings of the 12th Eurographics / IEEE - VGTC conference on Visualization
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We demonstrate and reflect upon the use of enhanced treemaps that incorporate spatial and temporal ordering for exploring a large multivariate spatio-temporal data set. The resulting data-dense views summarise and simultaneously present hundreds of space-, time-, and variable-constrained subsets of a large multivariate data set in a structure that facilitates their meaningful comparison and supports visual analysis. Interactive techniques allow localised patterns to be explored and subsets of interest selected and compared with the spatial aggregate. Spatial variation is considered through interactive raster maps and high-resolution local road maps. The techniques are developed in the context of 42.2 million records of vehicular activity in a 98 km2 area of central London and informally evaluated through a design used in the exploratory visualisation of this data set. The main advantages of our technique are the means to simultaneously display hundreds of summaries of the data and to interactively browse hundreds of variable combinations with ordering and symbolism that are consistent and appropriate for space- and time-based variables. These capabilities are difficult to achieve in the case of spatio-temporal data with categorical attributes using existing geovisualisation methods. We acknowledge limitations in the treemap representation but enhance the cognitive plausibility of this popular layout through our two-dimensional ordering algorithm and interactions. Patterns that are expected (e.g. more traffic in central London), interesting (e.g. the spatial and temporal distribution of particular vehicle types) and anomalous (e.g. low speeds on particular road sections) are detected at various scales and locations using the approach. In many cases, anomalies identify biases that may have implications for future use of the data set for analyses and applications. Ordered treemaps appear to have potential as interactive interfaces for variable selection in spatio-temporal visualisation.