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References & Further Reading

  1. BAMS. (1993). Guidelines for Using Color to Depict Meteorological Information: IIPS Subcommittee for Color Guidelines. Bulletin of the American Meteorological Society, 74(9), 1709–1713. http://doi.org/10.1175/1520-0477(1993)074<1709:GFUCTD>2.0.CO;2
  2. Borland, D., & Ii, R. M. T. (2007). Rainbow Color Map (Still) Considered Harmful. IEEE Computer Graphics and Applications, 27(2), 14–17. http://doi.org/10.1109/MCG.2007.323435
  3. Brettel, H., Viénot, F., & Mollon, J. D. (1997). Computerized Simulation of Color Appearance for Dichromats. Journal of the Optical Society of America. A, Optics, Image Science, and Vision, 14(10), 2647–2655. http://doi.org/https://dx.doi.org/10.1364/JOSAA.14.002647
  4. Brewer, C. A. (1997). Spectral Schemes: Controversial Color Use on Maps. Cartography and Geographic Information Systems, 24(4), 203–220. http://doi.org/10.1559/152304097782439231
  5. Carswell, C. M., & Wickens, C. D. (1990). The Perceptual Interaction of Graphical Attributes: Configurality, Stimulus Homogeneity, and Object Integration. Perception &Amp; Psychophysics, 47(2), 157–168. http://doi.org/10.3758/BF03205980
  6. Fairchild, M. D. (2013). Human Color Vision. In Color Appearance Models (pp. 1–37). John Wiley & Sons.
  7. Fairchild, M. D. (2013). Color Appearance Terminology. In Color Appearance Models (pp. 85–96). John Wiley & Sons.
  8. Getreuer, P. (2011). Colorspace Transformations. Retrieved from http://www.mathworks.com/matlabcentral/fileexchange/28790-colorspace-transformations
  9. Hagh-Shenas, H., Kim, S., Interrante, V., & Healey, C. (2007). Weaving Versus Blending: a quantitative assessment of the information carrying capacities of two alternative methods for conveying multivariate data with color. IEEE Transactions on Visualization and Computer Graphics, 13(6), 1270–1277. http://doi.org/10.1109/TVCG.2007.70623
  10. Harrower, M. A., & Brewer, C. A. (2011). ColorBrewer.org: An Online Tool for Selecting Colour Schemes for Maps. In M. Dodge, R. Kitchin, & C. Perkins (Eds.), The Map Reader: Theories of Mapping Practice and Cartographic Representation (pp. 261–268). Chichester: John Wiley & Sons.
  11. Harrower, M. A., & Brewer, C. A. (2003). ColorBrewer.org: An Online Tool for Selecting Color Schemes for Maps. The Cartographic Journal, 40, 27–37. Retrieved from http://ColorBrewer.org/
  12. Healey, C. G. (1996). Choosing effective colours for data visualization. In Visualization ’96. Proceedings. (pp. 263–270).
  13. Ihaka, R., Murrell, P., Hornik, K., Fisher, J. C., & Zeileis, A. (2016). colorspace: Color Space Manipulation. Retrieved from http://CRAN.R-project.org/package=colorspace
  14. Knoblauch, K. (2002). Color Vision. In S. Yantis & H. Pashler (Eds.), Steven’s Handbook of Experimental Psychology – Sensation and Perception (3rd ed., Vol. 1, pp. 41–75). New York: John Wiley & Sons.
  15. Levkowitz, H., & Herman, G. T. (1992). Color Scales for Image Data. IEEE Computer Graphics and Applications, 12(1), 72–80.
  16. Light, A., & Bartlein, P. J. (2004). The End of the Rainbow? Color Schemes for Improved Data Graphics. Eos, Transactions American Geophysical Union, 85(40), 385–391. http://doi.org/10.1029/2004EO400002
  17. MacEachren, A. M. (1995). How Maps Work: Representation, Visualization, and Design. The Guilford Press.
  18. MacEachren, A. M. (1995). How Maps Are Seen. In How Maps Work: Representation, Visualization, and Design (pp. 51–147). “The” Guilford Press.
  19. Mahy, M., Van Eycken, L., & Oosterlinck, A. (1994). Evaluation of Uniform Color Spaces Developed after the Adoption of CIELAB and CIELUV. Color Research &Amp; Application, 19(2), 105–121. http://doi.org/10.1111/j.1520-6378.1994.tb00070.x
  20. Mayr, G. J. (2013). Personal communication.
  21. Miles, W. R. (1943). Color Blindness in Eleven Thousand Museum Visitors. The Yale Journal of Biology and Medicine, 16(1), 59–76.
  22. Moreland, K. (2009). Diverging Color Maps for Scientific Visualization. In Advances in Visual Computing – 5th International Symposium, ISVC 2009 (Vol. 5876, pp. 92–103). Berlin: Springer-Verlag.
  23. Mullen, K. T. (1985). The Contrast Sensitivity of Human Colour Vision to Red-Green and Blue-Yellow Chromatic Gratings. The Journal of Physiology, 359(1), 381–400. http://doi.org/10.1113/jphysiol.1985.sp015591
  24. Rhyne, T.-M. (2003). Does the Difference Between Information and Scientific Visualization Really Matter? IEEE Computer Graphics and Applications, 23(3), 6–8. http://doi.org/10.1109/MCG.2003.1198256
  25. Rogowitz, B., & Treinish, L. A. (1998). Data Visualization: The End of the Rainbow. IEEE Spectrum, 35(12), 52–59. http://doi.org/10.1109/6.736450
  26. Rogowitz, B. E., & Treinish, L. A. (1996). How Not to Lie with Visualization. Computer in Physics, 10(3), 268–273.
  27. Silva, S., Sousa Santos, B., & Madeira, J. (2011). Using Color in Visualization: A Survey. Computers &Amp; Graphics, 35(2), 320–333. http://doi.org/10.1016/j.cag.2010.11.015
  28. Smith, A. R. (1978). Color Gamut Transform Pairs. SIGGRAPH Computer Graphics and Interactive Techniques, 12(3), 12–19. http://doi.org/10.1145/965139.807361
  29. Spekat, A., & Kreienkamp, F. (2007). Somewhere over the rainbow – advantages and pitfalls of colourful visualizations in geosciences. Advances in Science and Research, 1(1), 15–21. http://doi.org/10.5194/asr-1-15-2007
  30. Stauffer, R., Mayr, G. J., Dabernig, M., & Zeileis, A. (2015). Somewhere Over the Rainbow: How to Make Effective Use of Colors in Meteorological Visualizations. Bulletin of the American Meteorological Society, 96(2), 203–216. http://doi.org/10.1175/BAMS-D-13-00155.1
  31. Steinacker, R. A. (1992). Dynamical Aspects of Frontal Analysis. Meteorology and Atmospheric Physics, 48(1-4), 93–103. http://doi.org/10.1007/BF01029561
  32. Stevens, S. S. (1966). Matching Functions between Loudness and ten other Continua. Perception &Amp; Psychophysics, 1(1), 5–8. http://doi.org/doi:10.3758/BF03207813
  33. Taylor, G. (2014). Python-colormath. Retrieved from http://python-colormath.readthedocs.org
  34. Thyng, K. M., and Robert D. Hetland and Heather M. Zimmerle, C. A. G., & DiMarco, S. F. (2016). True Colors of Oceanography: Guidelines for Effective and Accurate Colormap Selection. Oceanography, 29. http://doi.org/10.5670/oceanog.2016.66
  35. Treinish, L. A. (1998). Task-specific visualization design: A case study in operational weather forecasting. In IEEE Visualization 98. Proceedings. (pp. 405–409).
  36. Treinish, L. A. (2001). Can We Build More Effective Weather Visualizations. In Proceedings of the Eighth ECMWF Workshop on Meteorological Operational Systems (pp. 90–99).
  37. Tufte, E. (1990). Envisioning Information. Cheshire: Graphics Press.
  38. Ware, C. (1988). Color sequences for univariate maps: Theory, experiments and principles. IEEE Computer Graphics and Applications, 8(5), 41–49. http://doi.org/10.1109/38.7760
  39. Ware, C. (2004). Color. In Information Visualization: Perception for Design (pp. 103–149). Morgan Kaufmann Publishers Inc.
  40. Ware, C., & Plumlee, M. D. (2013). Designing a better weather display. Information Visualization, 12(3–4), 221–239. http://doi.org/10.1177/1473871612465214
  41. Wong, B. (2011). Color Blindness. Nature Methods, 8(6), 441. http://doi.org/10.1038/nmeth.1618
  42. Zeileis, A., Hornik, K., & Murrell, P. (2009). Escaping RGBland: Selecting colors for statistical graphics . Computational Statistics &Amp; Data Analysis , 53(9), 3259–3270. http://doi.org/10.1016/j.csda.2008.11.033
  43. National Oceanic and Atmospheric Agency. (2012). National Oceanic and Atmospheric Administration. NOAA, National Oceanic and Atmospheric Administration. Retrieved from http://www.noaa.gov/
  44. R Core Team. (2016). R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing. Retrieved from https://www.R-project.org/
  45. UBIMET GmbH. (2013). Österreich – Alle Warnungen. UBIMET GmbH. Retrieved from http://www.uwz.ch/

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