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Improving Scientific Data Analysis Through Multi-touch Enabled Interactive Data Visualization with Applications to Neutron Sc...

by Chad A Steed, Junghoon Chae, John R Goodall, Steven E Hahn
Publication Type
Conference Paper
Book Title
Workshop on Immersive Analytics @ VIS 2017
Publication Date
Page Numbers
1 to 4
Conference Name
Immersive Analytics 2017
Conference Location
Pheonix, Arizona, United States of America
Conference Sponsor
Conference Date

Scientific data analysis is an inherently exploratory process that requires flexible human interaction with data visualization and anal- ysis tools. In this paper, we describe challenges in neutron scattering data analysis and present our approach for allowing more effective human interaction. In addition to multi-touch enabled data visualiza- tion techniques, we describe color scale enhancements, layouts, and visual analytics approaches for 3D volume slicing. Since challenges in neutron science are echoed in most scientific fields, we generalize the project objective and present a case for bridging the gap between the latest advances in interactive data visualization and practical scientific scenarios where new critical knowledge is buried in large volumes of complex data.