Data Visualization

At CCOM/JHC, data visualization research is conducted by the Data Visualization Research Lab. The lab has the goal of carrying out research into advanced interactive visualization with a special interest in techniques that can be applied to ocean mapping and ocean technologies in general. Currently, three broad strategies of research are the focus of the lab: the science of data visualization (experimental semiotics), tool building, and visualizations for education and outreach

Please visit the main VisLab website here.

Selected Publications

An Improved Method for Portraying CATZOC in ECDIS

C. Kastrisios, Ware, C., Calder, B. R., Butkiewicz, T., and Alexander, L., “An Improved Method for Portraying CATZOC in ECDIS”, 2020 Mariners' Workshop. Shipping Federation of Canada, Montreal, Canada, 2020.

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Nautical Chart Data Uncertainty Visualization as the Means for Integrating Bathymetric, Meteorological, and Oceanographic Information in Support of Coastal Navigation

C. Kastrisios, Ware, C., Calder, B. R., Butkiewicz, T., Alexander, L., and Hauser, O., “Nautical Chart Data Uncertainty Visualization as the Means for Integrating Bathymetric, Meteorological, and Oceanographic Information in Support of Coastal Navigation”, American Meteorological Society 100th Meeting. p. Boston, MA, 2020.

Attachment

Kastrisios_etal_AMS2020_Abstract_ChartDataUncertaintyVisualizationAndIntegration.pdf

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An alternative methodology (to the star symbols).

C. Kastrisios, Ware, C., Calder, B. R., Butkiewicz, T., and Alexander, L., “An alternative methodology (to the star symbols).”, International Hydrogarphic Organization, Monaco, 2020.

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Information Visualization: Perception for Design. Edition III

C. Ware, Information Visualization: Perception for Design. Edition III, 3rdrd ed. Boston, MA, United States: Morgan Kaufman, 2012, p. 512.

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Quantitative Texton Sequences for Legible Bivariate Maps

C. Ware, “Quantitative Texton Sequences for Legible Bivariate Maps”, IEEE Transactions on Visualization and Computer Graphics, vol. 15. IEEE, Washington DC, Washington DC, USA, pp. 1523-1529, 2009.

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Neural Modeling of Flow Rendering Effectiveness

D. Pineo and Ware, C., “Neural Modeling of Flow Rendering Effectiveness”, Symposium on Applied Perception in Graphics and Visualization. Los Angeles, CA, USA, pp. 171-178, 2008.

Attachment

Pineo_08_Neural.pdf

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Visual Thinking for Design

C. Ware, Visual Thinking for Design. Boca Raton, FL, USA: CRC Press, LLC, 2008.

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Visual Thinking with Interactive Diagram

C. Ware and Gilman, A. T., “Visual Thinking with Interactive Diagram”, Lecture Notes on Artificial Intelligence, vol. 5223. Springer Publisher, New York, NY, USA, pp. 118-126, 2008.

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Visualizing Graphs in Three Dimensions

P. Mitchell and Ware, C., “Visualizing Graphs in Three Dimensions”, ACM Transactions on Applied Perception (TAP), vol. 5. Association for Computing Machinery (ACM), New York, NY, USA, pp. 1-15, 2008.

Attachment

Ware_08_TAP_Visualizing_graphs_in_3D.pdf

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Towards a perceptual theory of flow visualization

C. Ware, “Towards a perceptual theory of flow visualization”, IEEE Computer Graphics and Application, vol. 28. IEEE, Washington DC, Washington DC, USA, pp. 6-11, 2008.

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