Visualizing Informationon a Sphere
INFOVIS '97 Proceedings of the 1997 IEEE Symposium on Information Visualization (InfoVis '97)
dg.o '04 Proceedings of the 2004 annual national conference on Digital government research
Exploratory spatio-temporal data mining and visualization
Journal of Visual Languages and Computing
nSpace and GeoTime: A VAST 2006 Case Study
IEEE Computer Graphics and Applications
Visual analytics of spatial interaction patterns for pandemic decision support
International Journal of Geographical Information Science - Geovisual Analytics for Spatial Decision Support
Communications of the ACM
From visual data exploration to visual data mining: a survey
IEEE Transactions on Visualization and Computer Graphics
Hi-index | 0.00 |
Geographic Information Systems GISs, which map spatiotemporal event data on geographical maps, have proven to be useful in many applications. Time-based Geographic Information Systems GISs allow practitioners to visualize collected data in an intuitive way. However, while current GIS systems have proven to be useful in post hoc analysis and provide simple two-dimensional geographic visualizations, their design typically lacks the features necessary for highly targeted real-time surveillance with the goal of spread prevention. This paper outlines the design, implementation, and usage of a 3D framework for real-time geospatial temporal visualization. In this case study, using livestock movements, the authors show that the framework is capable of tracking and simulating the spread of epidemic diseases. Although the application discussed in this paper relates to livestock disease, the proposed framework can be used to manage and visualize other types of high-dimensional multimedia data as well.