palette_set: Make an HCL palette for visualizing an unordered set of...
In colorist: Coloring Wildlife Distributions in Space-Time

Description Usage Arguments Value See Also Examples

This function generates an HCL palette for visualizing a small set of distributions (i.e., eight or fewer) that are not ordered in a linear or cyclical sequence (e.g., a set of utilization distributions describing space use by five separate individuals in the same population or a set of four species distributions that depend on similar food resources).

1	palette_set(x, custom_hues)

`x`	RasterStack or integer describing the number of layers for which colors need to be generated.
`custom_hues`	vector of integers between -360 and 360 representing hues in the color wheel. For further details, consult the documentation for colorspace::rainbow_hcl. The length of the vector must equal the number of layers described by `x`. Hues are assigned to layers in order.

A data frame with three columns:

layer_id: integer identifying the layer containing the maximum intensity value; mapped to hue.
specificity: the degree to which intensity values are unevenly distributed across layers; mapped to chroma.
color: the hexadecimal color associated with the given layer and specificity values.

palette_timecycle for cyclical sequences of distributions and palette_timeline for linear sequences of distributions.

Other palette: palette_timecycle(), palette_timeline()

# load elephant data
data(elephant_ud)

# generate hcl color palette
pal <- palette_set(elephant_ud)
head(pal)

# visualize the palette in HCL space with colorspace::hclplot
library(colorspace)
hclplot(pal[pal$specificity == 100, ]$color)