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Visualizing Sparse Gridded Data Sets
September/October 2000 (vol. 20 no. 5)
pp. 52-57
Data sets with large number of missing values pose a common problem because most standard scientific visualization algorithms fail when presented with incomplete cells. In this article we discuss the pros, cons, and pitfalls of the alternatives and present our experience in dealing with gridded data sets with missing or invalid scalar data. In our study we emphasized visualization methods that exploit the clustering pattern in the data. We applied our findings to data acquired from Nexrad (next generation radars) weather radars, which usually have no more than 3 to 4 percent of all possible cell points filled.

1. D. Long, P. Mantey, C.M. Wittenbrink, T. Haining, and B. Montague, "REINAS the Real-Time Environmental Information Network and Analysis System," Proc. COMPCON, pp. 482-487,San Francisco, IEEE, Mar. 1995.
2. H. Edelsbrunner and N.R. Shah, "Incremental Topological Flipping Works for Regular Triangulations," Proc. 8th Annual ACM Symp. on Computational Geometry, ACM Press, New York, 1992, pp. 43-52.
3. N. Amenta, M. Bern, and M. Kamvysselis, “A New Voronoi-Based Surface Reconstruction Algorithm,” Proc. SIGGRAPH '98, pp. 415-421, 1998.
4. H. Hoppe, T. DeRose, T. Duchamp, J. McDonald, and W. Stuetzle, “Surface Reconstruction from Unorganized Points,” Proc. SIGGRAPH '92, pp. 71-78, 1992.
5. P. Alfeld, "Scattered Data Interpolation in Three or More Variables," Mathematical Methods in CAGD, T. Lyche and L.L. Schumaker, eds., Academic Press, San Diego, 1989, pp. 1-33.
6. R. Franke and G. Nielson, "Scattered Data Interpolation: A Tutorial and Survey," Geometric Modeling: Methods and Applications, H. Hagen and D. Roller, eds., Springer-Verlag, New York, 1991, pp. 131-160.
7. T.A. Foley, "Interpolation and Approximation of 3D and 4D Scattered Data," Computers and Mathematics with Applications, Vol. 13, No. 8, 1987, pp. 711-740.
8. G. Nielson and J. Tvedt,“Comparing methods of interpolation for scattered volumetric data,” State of the Art in Computer Graphics—Aspects of Visualization, D. Rogers and R. Earnshaw, eds., Springer (1994), pp. 67-86.

Index Terms:
isosurface, contouring, volume ren-dering, sparse gridded datasets, NEXRAD.
Suzana Djurcilov, Alex Pang, "Visualizing Sparse Gridded Data Sets," IEEE Computer Graphics and Applications, vol. 20, no. 5, pp. 52-57, Sept.-Oct. 2000, doi:10.1109/38.865880
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