PNWColors

Four years spent in the most beautiful place in the world, immortalized in an R color palette package. May the colors of Washington State and the Pacific Northwest live on in our presentation figures forever.

Palettes are pulled from photos I took in some of the dreamiest, most colorful, PNW-iest places I know. The Pantone Studio iPhone app helped me extract colors, and Chroma.js Color Palette Helper helped me adjust values to ensure that all palettes are color-blind safe to be used for attractive and inclusive data viz.

Structure of the code was inspired by the wesanderson and LaCroixColoR packages. See more examples on twitter.

Installation
Palettes
Functions
Examples
As Seen In
Contact

Install Package

# from CRAN
install.packages("PNWColors")

# or dev version:
install.packages("devtools") 
devtools::install_github("jakelawlor/PNWColors")

Usage

library(PNWColors)

names(pnw_palettes)
 [1] "Starfish" "Shuksan"  "Bay"      "Winter"   "Lake"     "Sunset"   "Shuksan2" 
 [8] "Cascades" "Sailboat" "Moth" "Spring"   "Mushroom" "Sunset2"  "Anemone"

Palettes

Low Tide -- San Juan Islands, Washington

Mount Shuksan from Mount Baker Ski Resort -- North Cascades, Washington

A nice night for a late-summer sunset paddle -- Bellingham Bay, Washington

Seattle Snowpocalypse 2019 -- Anacortes, Washington

Best after-work sun spot West of the Mississippi -- Whistle Lake, Anacortes, Washington

Washington Park sunset -- Anacortes, Washington

Mount Shuksan, golden hour -- North Cascades, Washington

Watson Lake Trail End -- North Cascades, Washington

The most beautiful moth -- Vendovi Island, Washington

S/V Funky Dory, the maiden voyage -- Anacortes, Washington

Oyster Dome Sunset -- Chuckanut, Washington

Cherry Blossom Season -- Anacortes, Washington

Fieldtrip -- Anacortes, Washington

Life on a log -- Orcas Island, Washington

Building Palettes

Use the pnw_palette() function to build and view palettes. Inputs are 'name', 'n', and 'type' (continuous or discrete). 'Name' is required. If 'n' is blank, function will assume n is equal to the number of colors in the palette (5-8), but if n > palette length, it will automatically interpolate colors between. If 'type' is missing, the function will assume "discrete" if n < palette length, and "continuous" if n > palette length.

pnw_palette(name="Starfish",n=7,type="discrete")

pnw_palette("Winter",100)

pnw_palette("Bay",8,type="continuous")

pnw_palette("Moth",12)

Example Plots

Palettes can be easily integrated into Base R imaging or ggplot2.

pal <- pnw_palette("Shuksan",100)
image(volcano, col = pal)

pal=pnw_palette("Lake",5, type = "discrete")
ggplot(diamonds, aes(carat, fill = cut)) +
  geom_density(position = "stack") +
  scale_fill_manual(values=pal)  +
  theme_classic()

pal=pnw_palette("Shuksan2",100)
ggplot(data.frame(x = rnorm(1e4), y = rnorm(1e4)), aes(x = x, y = y)) +
  geom_hex() +
  coord_fixed() +
  scale_fill_gradientn(colours = pal) +
  theme_classic()
  
  # Or, to switch the order, use rev(), see below
  scale_fill_gradientn(colours = rev(pal))

library(palmerpenguins)
ggplot(data = penguins, 
       aes(x = flipper_length_mm,
           y = body_mass_g)) +
  geom_point(aes(color = species, 
                 shape = species),
             size = 3) +
  scale_color_manual(values = pnw_palette("Bay",3)) +
  labs(title = "Penguin size, Palmer Station LTER",
       subtitle = "Flipper length and body mass for Adelie, Chinstrap and Gentoo Penguins",
       x = "Flipper length (mm)",
       y = "Body mass (g)",
       color = "Penguin species",
       shape = "Penguin species") +
  theme_classic()

pal <- pnw_palette("Anemone",3)
ToothGrowth$dose <- as.factor(ToothGrowth$dose)
ggplot(ToothGrowth, aes(x=dose, y=len, fill=dose)) + 
 geom_violin(trim=FALSE)+
 geom_boxplot(width=0.1, fill="white")+
 labs(title="Plot of length  by dose",x="Dose (mg)", y = "Length")+
 scale_fill_manual(values=pal)+
 theme_classic()

library(tidyverse)
library(urbnmapr)
pal <- pnw_palette("Winter",100)
countydata %>%
 left_join(counties, by = "county_fips") %>%
 filter(state_name =="Washington") %>%
 ggplot(mapping=aes(long,lat,group = group, fill = horate)) +
 geom_polygon(color="black",size=.25) +
 scale_fill_gradientn(colours = pal) +
 coord_map(projection="albers",lat0=39,lat1=45) +
 theme(legend.title = element_text(),
       legend.key.width = unit(.5,"in")) +
 labs(fill="Homeownership rate") +
 theme_void()

As Seen In:

Have you used PNWColors in something? Please share to grow the list!

Lawlor and Arellano 2020, Scientific Reports, Bay palette

Patel et al. 2020, Biogeochemistry, Sailboat palette

Nicholas et al. 2020, Journal of Physical Chemistry C, Sunset2 palette

Sobocinski, K.L. (2021). Salish Sea Institute, Starfish palette

Linardich et al. (2021). Global Change Biology, Bay palette

Green et al. (2022). Proceedings B., Bay palette

Contact

Reach me at jake.lawlor@mail.mcgill.ca or @Jake_Lawlor1

For Citation Information, see here:

Jake Lawlor (2020). PNWColors: Color Palettes Inspired by Nature in the US Pacific Northwest. R package version 0.1.0. https://CRAN.R-project.org/package=PNWColors

jakelawlor/PNWColors