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.|
|Number of pages||15|
|State||Published - 2021|
|Event||2021 IEEE VIS Arts Program, VISAP 2021 - Virtual, Online, United States|
Duration: Oct 24 2021 → Oct 29 2021
|Name||Proceedings - 2021 IEEE VIS Arts Program, VISAP 2021|
|Conference||2021 IEEE VIS Arts Program, VISAP 2021|
|Period||10/24/21 → 10/29/21|
Bibliographical noteFunding 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).
© 2021 IEEE.
- Scientific Visualization