2016 IEEE Pacific Visualization Symposium (PacificVis) (2016)
April 19, 2016 to April 22, 2016
Subhashis Hazarika , The Ohio State University, Columbus, Ohio, USA
Soumya Dutta , The Ohio State University, Columbus, Ohio, USA
Han-Wei Shen , The Ohio State University, Columbus, Ohio, USA
Visualizing the similarities and differences among an ensemble of isosurfaces is a challenging problem mainly because the isosurfaces cannot be displayed together at the same time. For ensemble of isosurfaces, visualizing these spatial differences among the surfaces is essential to get useful insights as to how the individual ensemble simulations affect different isosurfaces. We propose a scheme to visualize the spatial variations of isosurfaces with respect to statistically significant isosurfaces within the ensemble. Understanding such variations among ensemble of isosurfaces at different spatial regions is helpful in analyzing the influence of different ensemble runs over the spatial domain. In this regard, we propose an isosurface-entropy based clustering scheme to divide the spatial domain into regions of high and low isosurface variation. We demonstrate the efficacy of our method by successfully applying it on real-world ensemble data sets from ocean simulation experiments and weather forecasts.
Parallel Coordinates, Ensemble Visualization, Ensemble Isosurface, Isosurface Variation Analysis
S. Hazarika, S. Dutta and H. Shen, "Visualizing the variations of ensemble of isosurfaces," 2016 IEEE Pacific Visualization Symposium (PacificVis)(PACIFICVIS), Taipei, Taiwan, 2016, pp. 209-213.