Visualizing time-oriented data-A systematic view
Computers and Graphics
Legible Cities: Focus-Dependent Multi-Resolution Visualization of Urban Relationships
IEEE Transactions on Visualization and Computer Graphics
Conjoint Analysis to Measure the Perceived Quality in Volume Rendering
IEEE Transactions on Visualization and Computer Graphics
PhotoScope: visualizing spatiotemporal coverage of photos for construction management
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Heuristic search and information visualization methods for school redistricting
IAAI'06 Proceedings of the 18th conference on Innovative applications of artificial intelligence - Volume 2
ViCA: a voronoi interface for visualizing collaborative annotations
CDVE'07 Proceedings of the 4th international conference on Cooperative design, visualization, and engineering
Analyzing statistical relationships between global indicators through visualization
ICTD'09 Proceedings of the 3rd international conference on Information and communication technologies and development
Visualisation interactive de données temporelles: un aperçu de l'état de l'art
Conference Internationale Francophone sur I'Interaction Homme-Machine
Human-centered visualization environments
Human-centered visualization environments
Neighborhood relation diagrams for local comparison of carbon footprints in urban planning
Information Visualization
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Partitioning of geo-spatial data for efficient allocation of resources such as schools and emergency health care services is driven by a need to provide better and more effective services. Partitioning of spatial data is a complex process that depends on numerous factors such as population, costs incurred in deploying or utilizing resources and target capacity of a resource. Moreover, complex data such as population distributions are dynamic i.e. they may change over time. Simple animation may not effectively show temporal changes in spatial data. We propose the use of three temporal visualization techniques - wedges, rings and time slices - to display the nature of change in temporal data in a single view. Along with maximizing resource utilization and minimizing utilization costs, a partition should also ensure the long-term effectiveness of the plan. We use multi-attribute visualization techniques to highlight the strengths and identify the weaknesses of a partition. Comparative visualization techniques allow multiple partitions to be viewed simultaneously. Users can make informed decisions about how to partition geo-spatial data by using a combination of our techniques for multi-attribute visualization, temporal visualization and comparative visualization.