- By:
- Steed, Chad A; Chae, Junghoon ; Goodall, John R; Hahn, Steven E
- Page Number:
- 1-4
- Book Title:
- Workshop on Immersive Analytics @ VIS 2017
- Publication Date:
- November 9, 2023
- Conference Name:
- Immersive Analytics 2017
- Conference Location:
- Pheonix, Arizona, United States of America
- Conference Sponsor:
- IEEE
Abstract
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.
