Abstract

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.

Publication Date

2006

Document Type

Master's Project

Student Type

Graduate

Department, Program, or Center

Computer Science (GCCIS)

Advisor

Bischof, Hans-Peter

Advisor/Committee Member

Geigel, Joseph

Advisor/Committee Member

Marshall, Sidney

Comments

Note: imported from RIT’s Digital Media Library running on DSpace to RIT Scholar Works in February 2013.

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CGrayProposal2006.pdf (748 kB)

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