palette_timecycle: Make an HCL palette for visualizing a cyclical sequence 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 cyclical sequence of distributions (e.g., a series of distributions describing species occurrence in each of 52 weeks of the annual cycle or a series of utilization distributions describing typical space use by an individual animal in each hour of a 24-hour daily cycle).

1	palette_timecycle(x, start_hue = 240, clockwise = TRUE)

`x`	RasterStack or integer describing the number of layers for which colors need to be generated.
`start_hue`	integer between -360 and 360 representing the starting hue in an HCL color wheel. For further details, consult the documentation for colorspace::rainbow_hcl. The default value of 240 will start the palette at "blue".
`clockwise`	logical indicating which direction to move around color wheel. The default `clockwise = TRUE` will yield a "blue-green-yellow-pink-blue" palette when `start_hue = 240`, while `clockwise = FALSE` will yield a "blue-pink-yellow-green-blue" palette.

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_timeline for linear sequences of distributions and palette_set for unordered sets of distributions.

Other palette: palette_set(), palette_timeline()

# load field sparrow data
data(fiespa_occ)

# generate hcl color palette
pal <- palette_timecycle(fiespa_occ)
head(pal)

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