Abstract
As computing capacity increases and data grows in both size and complexity, we are capable of understanding our surroundings with increasing nuance. Visualizing this often-multivariate environmental data presents complex visual scenes to be navigated, parsed, analyzed, and communicated. We draw from both the natural world and artistic color theory to present 1) a new color system, designed to establish an affective connection between big environmental data and its original source material, 2) a tool for extracting these workable palettes from natural imagery, and 3) a selection of pre-made linear colormaps and discrete color sets drawn from natural environments.
| Original language | English (US) |
|---|---|
| Title of host publication | Proceedings - 2021 IEEE VIS Arts Program, VISAP 2021 |
| Editors | Yoon Chung Han, Charles Perin |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 20-34 |
| Number of pages | 15 |
| ISBN (Electronic) | 9781665440219 |
| DOIs | |
| State | Published - 2021 |
| Event | 2021 IEEE VIS Arts Program, VISAP 2021 - Virtual, Online, United States Duration: Oct 24 2021 → Oct 29 2021 |
Publication series
| Name | Proceedings - 2021 IEEE VIS Arts Program, VISAP 2021 |
|---|
Conference
| Conference | 2021 IEEE VIS Arts Program, VISAP 2021 |
|---|---|
| Country/Territory | United States |
| City | Virtual, Online |
| Period | 10/24/21 → 10/29/21 |
Bibliographical note
Funding Information:This work is supported by the National Science Foundation under awards IIS-1704604 & IIS-1704904. We would like to thank the following scientists for sharing their data: Mark Petersen, Phillip Wolfram, and Xylar Asay-Davis (E3SM, LANL), Rod Linn, John Patchett (FIRETEC, LANL), Jiaxu Zhang (UW), Wilbert Wiejer, and William Daughton (LANL).
Publisher Copyright:
© 2021 IEEE.
Keywords
- Affect
- Art
- Color
- Environment
- Nature
- Scientific Visualization