The visualization of large datasets is invaluable to the advancement of scientific knowledge. N-Body problems produced large dataset that present several challenges to visualization. These challenges include over-plotting and self-obscuring data. Using the general visualization framework, Spiegel, five different visualization techniques are explored to solve these problems: slicing, projection, 3D projection, 3D density shells, and direct volume rendering. Each visualization looks to solve the problem in a slightly different manner while all have kernel density estimation as their starting point. While none of the visualization is ground breaking or perfectly solves the problems they do provide new insight allowing for new knowledge of the data being studied.
Department, Program, or Center
Computer Science (GCCIS)
Gray, Christian, "Study of visualizations for n-body stellar models" (2006). Thesis. Rochester Institute of Technology. Accessed from
RIT – Main Campus