About colormaps

• https://en.wikipedia.org/wiki/Color_gradient
• https://en.wikipedia.org/wiki/Heat_map
• Ken Hughes, "Default colormaps: Are Parula and Viridis really an improvement over Jet?", posted on October 1, 2019.
• In Search of a Perfect Colormap
• The Data Visualisation Guide section about colours

Specific colormaps

• Cubehelix (Dave Green, public domain): https://people.phy.cam.ac.uk/dag9/CUBEHELIX/
• Scientific colour maps (Fabio Crameri, MIT license):
  • https://www.fabiocrameri.ch/colourmaps/
  • https://s-ink.org/colour-map-guideline
  • https://s-ink.org/scientific-colour-maps
  • Seminar talk by Fabio Crameri about the scientific use of colour in science communication for the University of Oslo GeoHyd seminar: https://www.youtube.com/watch?v=iDPzWARbFrs
• Matplotlib colormaps (CC0 license / public domain):
  • Stéfan van der Walt and Nathaniel Smith: https://bids.github.io/colormap/
  • Python version: https://github.com/BIDS/colormap/blob/master/colormaps.py
  • Nathaniel Smith and Stéfan van der Walt, A Better Default Colormap for Matplotlib, SciPy 2015: https://www.youtube.com/watch?v=xAoljeRJ3lU
• Black Body colormap (CC0 license / public domain) by Kenneth Moreland: "Color Map Advice for Scientific Visualization".
• Colors for data scientists. Generate and refine palettes of optimally distinct colors.