R: HCL Color Palettes

hcl_palettes {colorspace} | R Documentation

## HCL Color Palettes

### Description

Qualitative, sequential (single-hue and multi-hue), and diverging color palettes based on the HCL (hue-chroma-luminance) color model.

### Usage

    hcl_palettes(type = NULL, palette = NULL, plot = FALSE, n = 5L, ...)

    ## S3 method for class 'hcl_palettes'
    print(x, ...)

    ## S3 method for class 'hcl_palettes'
    summary(object, ...)

    ## S3 method for class 'hcl_palettes'
    plot(x, n = 5L, fixup = TRUE, off = NULL, border = NULL, ...)

    qualitative_hcl(
      n,
      h = c(0, 360 * (n - 1)/n),
      c = 80,
      l = 60,
      fixup = TRUE,
      alpha = 1,
      palette = NULL,
      rev = FALSE,
      register = "",
      ...,
      h1,
      h2,
      c1,
      l1
    )

    sequential_hcl(
      n,
      h = 260,
      c = 80,
      l = c(30, 90),
      power = 1.5,
      gamma = NULL,
      fixup = TRUE,
      alpha = 1,
      palette = NULL,
      rev = FALSE,
      register = "",
      ...,
      h1,
      h2,
      c1,
      c2,
      l1,
      l2,
      p1,
      p2,
      cmax,
      c.
    )

    diverging_hcl(
      n,
      h = c(260, 0),
      c = 80,
      l = c(30, 90),
      power = 1.5,
      gamma = NULL,
      fixup = TRUE,
      alpha = 1,
      palette = NULL,
      rev = FALSE,
      register = "",
      ...,
      h1,
      h2,
      c1,
      l1,
      l2,
      p1,
      p2,
      cmax
    )

### Arguments

`type` | character indicating type of HCL palette.
`palette` | character. Name of HCL color palette.
`plot` | logical. Should the selected HCL color palettes be visualized?
`n` | the number of colors (>= 1) to be in the palette.
`...` | Other arguments passed to `hex`.
`x, object` | A `hcl_palettes` object.
`fixup` | logical. Should the color be corrected to a valid RGB value?
`off` | numeric. Vector of length 2 indicating horizontal and vertical offsets between the color rectangles displayed.
`border` | character. Color of rectangle borders.
`h, h1, h2` | hue value in the HCL color description, has to be in [0, 360].
`c, c., c1, c2` | chroma value in the HCL color description.
`l, l1, l2` | luminance value in the HCL color description.
`alpha` | numeric vector of values in the range `[0, 1]` for alpha transparency channel (0 means transparent and 1 means opaque).
`rev` | logical. Should the color palette vector be returned in reverse order?
`register` | character. If set to a non-empty character string, the corresponding palette is registered with that name for subsequent use (within the same session).
`power, p1, p2` | control parameter determining how chroma and luminance should be increased (1 = linear, 2 = quadratic, etc.).
`gamma` | Deprecated.
`cmax` | Maximum chroma value in the HCL color description.

### Details

The HCL (hue-chroma-luminance) color model is a perceptual color model obtained by using polar coordinates in CIE `LUV` space (i.e., `polarLUV`), where steps of equal size correspond to approximately equal perceptual changes in color. By taking polar coordinates the resulting three dimensions capture the three perceptual axes very well: hue is the type of color, chroma the colorfulness compared to the corresponding gray, and luminance the brightness. This makes it relatively easy to create balanced palettes through trajectories in this HCL space. In contrast, in the more commonly-used `HSV` (hue-saturation-value) model (a simple transformation of `RGB`), the three axes are confounded so that luminance changes along with the hue leading to very unbalanced palettes (see `rainbow_hcl` for further illustrations).

Three types of palettes are derived based on the HCL model:

- Qualitative: Designed for coding categorical information, i.e., where no particular ordering of categories is available and every color should receive the same perceptual weight.

- Sequential: Designed for coding ordered/numeric information, i.e., where colors go from high to low (or vice versa).

- Diverging: Designed for coding numeric information around a central neutral value, i.e., where colors diverge from neutral to two extremes.

The corresponding functions are `qualitative_hcl`, `sequential_hcl`, and `diverging_hcl`. Their construction principles are explained in more detail below. At the core is the luminance axis (i.e., light-dark contrasts): These are easily decoded by humans and matched to high-low differences in the underlying data. Therefore, `sequential_hcl` palettes are always based on a monotonic luminance sequence whereas the colors in a `qualitative_hcl` palette all have the same luminance. Finally, `diverging_hcl` palettes use the same monotonic luminance sequence in both “arms” of the palette, i.e., correspond to two balanced sequential palettes diverging from the same neutral value. The other two axes, hue and chroma, are used to enhance the luminance information and/or to further discriminate the color.

All three palette functions specify trajectories in HCL space and hence need either single values or intervals of the coordinates `h`, `c`, `l`. Their interfaces are always designed such that `h`, `c`, `l` can take vector arguments (as needed) but alternatively or additionally `h1`/`h2`, `c1`/`c2`/`cmax`, and `l1`/`l2` can be specified. If so, the latter coordinates overwrite the former.

`qualitative_hcl` distinguishes the underlying categories by a sequence of hues while keeping both chroma and luminance constant to give each color in the resulting palette the same perceptual weight. Thus, `h` should be a pair of hues (or equivalently `h1` and `h2` can be used) with the starting and ending hue of the palette. Then, an equidistant sequence between these hues is employed, by default spanning the full color wheel (i.e, the full 360 degrees). Chroma `c` (or equivalently `c1`) and luminance `l` (or equivalently `l1`) are constants.

`sequential_hcl` codes the underlying numeric values by a monotonic sequence of increasing (or decreasing) luminance. Thus, the `l` argument should provide a vector of length 2 with starting and ending luminance (equivalently, `l1` and `l2` can be used). Without chroma (i.e., `c = 0`), this simply corresponds to a grayscale palette like `gray.colors`. For adding chroma, a simple strategy would be to pick a single hue (via `h` or `h1`) and then decrease chroma from some value (`c` or `c1`) to zero (i.e., gray) along with increasing luminance. For bringing out the extremes (a dark high-chroma color vs. a light gray) this is already very effective. For distinguishing also colors in the middle two strategies can be employed: (a) Hue can be varied as well by specifying an interval of hues in `h` (or beginning hue `h1` and ending hue `h2`). (b) Instead of a decreasing chroma a triangular chroma trajectory can be employed from `c1` over `cmax` to `c2` (or equivalently a vector `c` of length 3). This yields high-chroma colors in the middle of the palette that are more easily distinguished from the dark and light extremes. Finally, instead of employing linear trajectories, power transformations are supported in chroma and luminance via a vector `power` (or separate `p1` and `p2`). If `power[2]` (or `p2`) for the luminance trajectory is missing, it defaults to `power[1]`/`p1` from the chroma trajectory.

`diverging_hcl` codes the underlying numeric values by a triangular luminance sequence with different hues in the left and in the right arm of the palette. Thus, it can be seen as a combination of two sequential palettes with some restrictions: (a) a single hue is used for each arm of the palette, (b) chroma and luminance trajectory are balanced between the two arms, (c) the neutral central value has zero chroma. To specify such a palette a vector of two hues `h` (or equivalently `h1` and `h2`), either a single chroma value `c` (or `c1`) or a vector of two chroma values `c` (or `c1` and `cmax`), a vector of two luminances `l` (or `l1` and `l2`), and power parameter(s) `power` (or `p1` and `p2`) are used. For more flexible diverging palettes without the restrictrictions above (and consequently more parameters) `divergingx_hcl` is available. For backward compatibility, `diverge_hcl` is a copy of `diverging_hcl`.

To facilitate using HCL-based palettes a wide range of example palettes are provided in the package and can be specified by a name instead of a set of parameters/coordinates. The examples have been taken from the literature and many approximate color palettes from other software packages such as ColorBrewer.org (RColorBrewer), CARTO colors (rcartocolor), scico, or virids. The function `hcl_palettes` can be used to query the available pre-specified palettes. It comes with a `print` method (listing names and types), a `summary` method (additionally listing the underlying parameters/coordinates), and a `plot` method that creates a `swatchplot` with suitable labels.

### Value

`qualitative_hcl`, `sequential_hcl`, `diverging_hcl` return a vector of `n` color strings (hex codes).

The function `hcl_palettes` returns a data frame of class `"hcl_palettes"` where each row contains information about one of the requested palettes (name, type, HCL trajectory coordinates). Suitable `print`, `summary`, and `plot` methods are available.

### References

Zeileis A, Hornik K, Murrell P (2009). Escaping RGBland: Selecting Colors for Statistical Graphics. Computational Statistics & Data Analysis, 53, 3259–3270. doi: 10.1016/j.csda.2008.11.033 Preprint available from https://www.zeileis.org/papers/Zeileis+Hornik+Murrell-2009.pdf.

Stauffer R, Mayr GJ, 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. doi: 10.1175/BAMS-D-13-00155.1

Zeileis A, Fisher JC, Hornik K, Ihaka R, McWhite CD, Murrell P, Stauffer R, Wilke CO (2020). “colorspace: A Toolbox for Manipulating and Assessing Colors and Palettes.” Journal of Statistical Software, 96(1), 1–49. doi: 10.18637/jss.v096.i01

### See Also

`divergingx_hcl`

### Examples

    ## overview of all _named_ HCL palettes
    hcl_palettes()

    ## visualize
    hcl_palettes("qualitative", plot = TRUE)
    hcl_palettes("sequential (single-hue)", n = 7, plot = TRUE)
    hcl_palettes("sequential (multi-hue)", n = 7, plot = TRUE)
    hcl_palettes("diverging", n = 7, plot = TRUE)

    ## inspect a specific palette
    ## (upper-case, spaces, etc. are ignored for matching)
    hcl_palettes(palette = "Dark 2")
    hcl_palettes(palette = "dark2")

    ## set up actual colors
    qualitative_hcl(4, h = c(0, 288), c = 50, l = 60) ## by hand
    qualitative_hcl(4, palette = "dark2")             ## by name
    qualitative_hcl(4, palette = "dark2", c = 80)     ## by name plus modification

    ## how HCL palettes are constructed:
    ## by varying the perceptual properties via hue/chroma/luminance
    swatchplot(
      "Hue"       = sequential_hcl(5, h = c(0, 300), c = c(60, 60), l = 65),
      "Chroma"    = sequential_hcl(5, h = 0, c = c(100, 0), l = 65, rev = TRUE, power = 1),
      "Luminance" = sequential_hcl(5, h = 260, c = c(25, 25), l = c(25, 90), rev = TRUE, power = 1),
      off = 0
    )

    ## for qualitative palettes luminance and chroma are fixed, varying only hue
    hclplot(qualitative_hcl(9, c = 50, l = 70))

    ## single-hue sequential palette (h = 260) with linear vs. power-transformed trajectory
    hclplot(sequential_hcl(7, h = 260, c = 80, l = c(35, 95), power = 1))
    hclplot(sequential_hcl(7, h = 260, c = 80, l = c(35, 95), power = 1.5))

    ## advanced single-hue sequential palette with triangular chroma trajectory
    ## (piecewise linear vs. power-transformed)
    hclplot(sequential_hcl(7, h = 245, c = c(40, 75, 0), l = c(30, 95), power = 1))
    hclplot(sequential_hcl(7, h = 245, c = c(40, 75, 0), l = c(30, 95), power = c(0.8, 1.4)))

    ## multi-hue sequential palette with small hue range and triangular chroma vs.
    ## large hue range and linear chroma trajectory
    hclplot(sequential_hcl(7, h = c(260, 220), c = c(50, 75, 0), l = c(30, 95), power = 1))
    hclplot(sequential_hcl(7, h = c(260, 60), c = 60, l = c(40, 95), power = 1))

    ## balanced diverging palette constructed from two simple single-hue sequential
    ## palettes (for hues 260/blue and 0/red)
    hclplot(diverging_hcl(7, h = c(260, 0), c = 80, l = c(35, 95), power = 1))

    ## to register a particular adapted palette for re-use in the same session
    ## with a new name the register=... argument can be used once, e.g.,
    diverging_hcl(7, palette = "Tropic", h2 = 0, register = "mytropic")

    ## subsequently palete="mytropic" is available in diverging_hcl() and the diverging
    ## ggplot2 scales such as scale_color_continuous_diverging() etc.
    demoplot(diverging_hcl(11, "mytropic"), type = "map")

    ## to register this palette in all R sessions you could place the following
    ## code in a startup script (e.g., .Rprofile):
    ## colorspace::diverging_hcl(7, palette = "Tropic", h2 = 0, register = "mytropic")

[Package colorspace version 2.0-1 Index]