Information Visualization and Visual Data Mining
IEEE Transactions on Visualization and Computer Graphics
The Eyes Have It: A Task by Data Type Taxonomy for Information Visualizations
VL '96 Proceedings of the 1996 IEEE Symposium on Visual Languages
Generating summaries and visualization for large collections of geo-referenced photographs
MIR '06 Proceedings of the 8th ACM international workshop on Multimedia information retrieval
Framy-visualising geographic data on mobile interfaces
Journal of Location Based Services
Participatory Visualization with Wordle
IEEE Transactions on Visualization and Computer Graphics
LINK2U: connecting social network users through mobile interfaces
PCM'10 Proceedings of the Advances in multimedia information processing, and 11th Pacific Rim conference on Multimedia: Part II
A chorem-based approach for visually analyzing spatial data
Journal of Visual Languages and Computing
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In their activities of monitoring a territory and its spatio-temporal phenomena, decision makers often face problems which require rapid solutions in spite of the complexity of scenarios under investigation. Researchers from the Geographic Information domain support their activities by providing them with highly interactive visualization tools able both to synthesize information from large datasets and perform complex analytical tasks. The goal of this paper is to present a Web-based application for on-line GeoVisual Analytics which exploits the visualization capability of the Tag Cloud technique, the interaction ability of visual environments, and the Web-based data querying and accessing. The application elaborates an interactive simplified map containing a georeferenced cloud of tags, placed where the associated information is appropriate and significant. By applying semantic and geographic operators on the map tags, users are allowed to acquire information about the underlying data, useful for a better comprehension of the described phenomena. A system prototype has been realized which builds an overview of data distribution and classification expressed as a georeferenced tag cloud. It also allows users to navigate and analyze maps through zooming and filtering operations defined in agreement with Visual Analytics guidelines.