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Introduction

Tol (2021) offers carefully chosen schemes, ready for each type of data, with colors that are:

  • Distinct for all people, including color-blind readers,
  • Distinct from black and white,
  • Distinct on screen and paper,
  • Matching well together.

All the scales presented in Paul Tol’s technical note (issue 3.2, 2021-08-18) are implemented here, for use with base R graphics, ggplot2 or ggraph.

Qualitative data

According to Paul Tol’s technical note, the bright, contrast, vibrant and muted color schemes are color-blind safe.

The light color scheme is reasonably distinct for both normal or color-blind vision and is intended to fill labelled cells.

The pale and dark schemes are not very distinct in either normal or color-blind vision and should be used as a text background or to highlight a cell in a table.

The qualitative color schemes must be used as given (no interpolation): colors are picked up to the maximum number of supported values. Refer to the original document for details about the recommended uses (see references).

Scheme Max. colors
bright 7
high contrast 3
vibrant 7
muted 9
medium contrast 3
pale 6
dark 6
light 9

bright

bright <- color("bright")
plot_scheme(bright(7), colours = TRUE, names = TRUE, size = 0.9)

high contrast

highcontrast <- color("high contrast")
plot_scheme(highcontrast(3), colours = TRUE, names = TRUE, size = 0.9)

vibrant

vibrant <- color("vibrant")
plot_scheme(vibrant(7), colours = TRUE, names = TRUE, size = 0.9)

muted

muted <- color("muted")
plot_scheme(muted(9), colours = TRUE, names = TRUE, size = 0.9)

medium contrast

mediumcontrast <- color("medium contrast")
plot_scheme(mediumcontrast(6), colours = TRUE, names = TRUE, size = 0.9)

pale and dark

pale <- color("pale")
plot_scheme(pale(6), colours = TRUE, names = TRUE, size = 0.9)


dark <- color("dark")
plot_scheme(dark(6), colours = TRUE, names = TRUE, size = 0.9)

light

light <- color("light")
plot_scheme(light(9), colours = TRUE, names = TRUE, size = 0.9)

Diverging data

If more colors than defined are needed from a given scheme, the color coordinates are linearly interpolated to provide a continuous version of the scheme.

Scheme Num. of colors Bad data
sunset 11 #FFFFFF
nightfall 17 #FFFFFF
BuRd 9 #FFEE99
PRGn 9 #FFEE99

sunset

sunset <- color("sunset")
plot_scheme(sunset(11), colours = TRUE, size = 0.9)

nightfall

nightfall <- color("nightfall")
plot_scheme(nightfall(17), colours = TRUE, size = 0.9)

BuRd

BuRd <- color("BuRd")
plot_scheme(BuRd(9), colours = TRUE, size = 0.9)

PRGn

PRGn <- color("PRGn")
plot_scheme(PRGn(9), colours = TRUE, size = 0.9)

Sequential data

If more colors than defined are needed from a given scheme, the color coordinates are linearly interpolated to provide a continuous version of the scheme, with the exception of the discrete rainbow scheme (see below).

Scheme Num. of colors Bad data
YlOrBr 9 #888888
iridescent 23 #999999
incandescent 11 #888888
discrete rainbow 23 #777777
smooth rainbow 34 #666666

YlOrBr

YlOrBr <- color("YlOrBr")
plot_scheme(YlOrBr(9), colours = TRUE, size = 0.9)

iridescent

iridescent <- color("iridescent")
plot_scheme(iridescent(23), colours = TRUE, size = 0.5)

incandescent

incandescent <- color("incandescent")
plot_scheme(incandescent(11), colours = TRUE, size = 0.5)

rainbow

As a general rule, ordered data should not be represented using a rainbow scheme. There are three main arguments against such use (Tol 2021):

  • The spectral order of visible light carries no inherent magnitude message.
  • Some bands of almost constant hue with sharp transitions between them, can be perceived as jumps in the data.
  • Color-blind people have difficulty distinguishing some colors of the rainbow.

If such use cannot be avoided, Paul Tol’s technical note provides two color schemes that are reasonably clear in color-blind vision. To remain color-blind safe, these two schemes must comply with the following conditions:

discrete rainbow
This scheme must not be interpolated.
smooth rainbow
This scheme does not have to be used over the full range. Tol (2021) suggests starting at purple.
discrete_rainbow <- color("discrete rainbow")
plot_scheme(discrete_rainbow(14), colours = TRUE, size = 0.7)

When using the smooth rainbow scheme:

  • Start off-white instead of purple if the lowest data value occurs often;
  • End at red instead of brown the highest data value occurs often.
smooth_rainbow <- color("smooth rainbow")

## Start at purple instead of off-white
plot(smooth_rainbow(256, range = c(0.25, 1)))

## End at red instead of brown
plot(smooth_rainbow(256, range = c(0, 0.9)))

Diagnostic maps

Qualitative color schemes

Diagnostic maps for the bright, vibrant, muted and light (from top to bottom) qualitative color schemes.Diagnostic maps for the bright, vibrant, muted and light (from top to bottom) qualitative color schemes.Diagnostic maps for the bright, vibrant, muted and light (from top to bottom) qualitative color schemes.Diagnostic maps for the bright, vibrant, muted and light (from top to bottom) qualitative color schemes.

Diagnostic maps for the bright, vibrant, muted and light (from top to bottom) qualitative color schemes.

Diverging schemes

Diagnostic maps for the sunset, BuRd and PRGn (from top to bottom) diverging color schemes.Diagnostic maps for the sunset, BuRd and PRGn (from top to bottom) diverging color schemes.Diagnostic maps for the sunset, BuRd and PRGn (from top to bottom) diverging color schemes.Diagnostic maps for the sunset, BuRd and PRGn (from top to bottom) diverging color schemes.

Diagnostic maps for the sunset, BuRd and PRGn (from top to bottom) diverging color schemes.

Diagnostic maps for the sunset, BuRd and PRGn diverging color schemes.Diagnostic maps for the sunset, BuRd and PRGn diverging color schemes.Diagnostic maps for the sunset, BuRd and PRGn diverging color schemes.Diagnostic maps for the sunset, BuRd and PRGn diverging color schemes.

Diagnostic maps for the sunset, BuRd and PRGn diverging color schemes.

Sequential schemes

Diagnostic maps for the YlOrBr, iridescent, discrete rainbow and smooth rainbow (from top to bottom) sequential color schemes.Diagnostic maps for the YlOrBr, iridescent, discrete rainbow and smooth rainbow (from top to bottom) sequential color schemes.Diagnostic maps for the YlOrBr, iridescent, discrete rainbow and smooth rainbow (from top to bottom) sequential color schemes.Diagnostic maps for the YlOrBr, iridescent, discrete rainbow and smooth rainbow (from top to bottom) sequential color schemes.Diagnostic maps for the YlOrBr, iridescent, discrete rainbow and smooth rainbow (from top to bottom) sequential color schemes.

Diagnostic maps for the YlOrBr, iridescent, discrete rainbow and smooth rainbow (from top to bottom) sequential color schemes.

Diagnostic maps for the YlOrBr, iridescent and smooth rainbow sequential color schemes.Diagnostic maps for the YlOrBr, iridescent and smooth rainbow sequential color schemes.Diagnostic maps for the YlOrBr, iridescent and smooth rainbow sequential color schemes.Diagnostic maps for the YlOrBr, iridescent and smooth rainbow sequential color schemes.

Diagnostic maps for the YlOrBr, iridescent and smooth rainbow sequential color schemes.

References

Tol, P. 2021. “Colour Schemes.” Technical note SRON/EPS/TN/09-002 3.2. SRON. URL: https://personal.sron.nl/~pault/data/colourschemes.pdf.