Scientific Visualization Software
ParaView: an open-source tool for general purpose scientific visualization. Colormaps in xml format – examples here or create your own with ColorMoves – can be used in ParaView’s built-in colormap selector.
CinemaViewer: a highly interactive image-based approach to data analysis and exploration that promotes investigation of large scientific datasets. CinemaViewer is compatible with json-type colormaps created by ColorMoves.
MatPlotLib: Python’s plotting tool. Colormaps made by ColorMoves can be made MatPlotLib and MatLab compatible with this conversion script.
MatLab: A very powerful programming tool developed for scientists and engineers. Convert ColorMoves’ colormaps to be MatLab compatible here.
Data Science at Scale Team Sites
- Main Site Directory – DSScale
- SciVisContest 2018
- ECX GitHub page
- Cinema Science new page
- Main Data Science at Scale site
- ColorMoves Paper at IEEE – https://www.computer.org/csdl/mags/cg/2018/01/mcg2018010020-abs.html
- Theresa Marie Rhyne – http://theresamarierhyne.com/Theresa-Marie_Rhynes_Viewpoint/Welcome.html
- Peter Kovesi – http://www.peterkovesi.com/
- Kenneth Mooreland – http://www.kennethmoreland.com/
- Colin Ware – https://ccom.unh.edu/vislab/colin_ware.html
- The Colour & Vision Research laboratory – http://www.cvrl.org/
- Roxana Bujack – https://colormeasures.org/
Visualization Examples and Inspiration
- NASA gallery
- TACC, visualization gallery at University of Texas at Austin
- NSF Vizzies
- NOAA Visualization Gallery (login required)
- Past and Present SciVisContests
- IEEE Computer Graphics & Applications