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Issue No.08 - Aug. (2013 vol.19)
pp: 1331-1341
D. H. F. Pilar , Center for Coastal & Ocean Mapping, Univ. of New Hampshire, Durham, NH, USA
C. Ware , Center for Coastal & Ocean Mapping, Univ. of New Hampshire, Durham, NH, USA
ABSTRACT
Most professional wind visualizations show wind speed and direction using a glyph called a wind barb in a grid pattern. Research into flow visualization has suggested that streamlines better represent flow patterns but these methods lack a key property - unlike the wind barb, they do not accurately convey the wind speed. With the goal of improving the perception of wind patterns, and at least equaling the quantitative quality of wind barbs, we designed two variations on the wind barb and designed a new quantitative glyph. All of our new designs space glyph elements along equally spaced streamlines. To evaluate these designs, we used a North American mesoscale forecast model. We tested the ability of subjects to determine direction and speed using two different densities each of three new designs as well as the classic wind barb. A second experiment evaluated how effectively each of the designs represented wind patterns. The results showed that the new design is superior to the classic, but they also showed that the classic barb can be redesigned and substantially improved. We suggest that flow patterns with integrated glyphs may have widespread application in flow visualization.
INDEX TERMS
Wind speed, Visualization, Wind forecasting, Shafts, Encoding, Bars, multivariate visualization, Streamline placement, wind barb, glyph, flow visualization, weather maps
CITATION
D. H. F. Pilar, C. Ware, "Representing Flow Patterns by Using Streamlines with Glyphs", IEEE Transactions on Visualization & Computer Graphics, vol.19, no. 8, pp. 1331-1341, Aug. 2013, doi:10.1109/TVCG.2013.10
REFERENCES
[1] J. Bertin, Semiology of Graphics. Univ. of Wisconsin Press, 1983.
[2] D. Fowler and C. Ware, "Strokes for Representing Univariate Vector Field Maps," Proc. Graphics Interface, pp. 249-253, 1989.
[3] C.G. Healey and J.T. Enns, "Large Datasets at a Glance: Combining Textures and Colors in Scientific Visualization," IEEE Trans. Visualization and Computer Graphics, vol. 5, no. 2, pp. 145-167, Apr.-June 1999.
[4] G. Jobard and W. Lefer, "Creating Evenly-Spaced Streamlines of Arbitrary Density," Proc. Eurographics Workshop Visualization in Scientific Computing, pp. 45-55, 1997.
[5] J.P. Martin, J.E. Swan, R.J. Moorhead, Z. Liu, and S. Cai, "Results of a User Study 2D Hurricane Visualization," Proc. 10th Joint Eurographics/IEEE-VGTC Conf. Visualization (EuroVis), vol. 27, no. 3, pp. 991-998, 2008.
[6] D. Laidlaw et al., "Comparing 2D Vector Field Visualization Methods: A User Study," IEEE Trans. Visualization and Computer Graphics, vol. 11, no. 1, pp. 59-70, Jan./Feb. 2005.
[7] Z. Lui, R. Moorhead, and J. Groner, "An Advanced Evenly Spaced Streamline Placement Algorithm," IEEE Trans. Visualization and Computer Graphics, vol. 12, no. 5, pp. 965-972, Sep./Oct. 2006.
[8] P. Mitchell, C. Ware, and J. Kelley, "Designing Flow Visualizations for Oceanography and Meteorology Using Interactive Design Space Hill Climbing," Proc. IEEE Int'l Conf. Systems, Man and Cybernetics, pp. 355-361, 2009.
[9] D. Pineo and C. Ware, "Neural Modeling of Flow Rendering Effectiveness," ACM Trans. Applied Perception, vol. 7, no. 3, pp. 1-14, 2010.
[10] G. Turk and D. Banks, "Image-Guided Streamline Placement," Proc. ACM SIGGRAPH, vol. 96, pp. 453-460, 1996.
[11] C. Ware, "Towards a Perceptual Theory of Flow Visualization," IEE Computer Graphics and Applications, vol. 28, no. 2, pp. 6-11, 2008.
[12] C. Ware, Information Visualization Perception for Design, second ed. Morgan Kaufman, 2004.
[13] C. Ware, "Color Sequences for Univariate Maps: Theory, Experiments and Principles," IEEE Computer Graphics and Applications, vol. 8, no. 5, pp. 41-49, Sept. 1988.
[14] Wikipedia, "Station Model," http://en.wikipedia.org/wikiWind_barb#Plotted_winds.W.-K. , Dec. 2009.
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