Color Palettes Inspired by Nature in the US Pacific Northwest.
PNW Color Palette Package for R
I am soon moving away from the most beautiful place I will ever live, so I did what any nostalgic nature kid / data science nerd would do and immortalized it in an R color palette package. Now I (and you!) can have the colors of Washington State and the Pacific Northwest live on in our presentation figures forever.
All photos were taken by me in places that I love. 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 from GitHub. See more examples on twitter.
Install Package
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
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))
ggplot(data = iris,aes(x=Petal.Length,y=Petal.Width,color=Species))+
geom_point(size=2)+
scale_color_manual(values=pnw_palette("Spring",3))+
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()
Contact
Used the palettes in your paper and care to share? (please do!)
Love the palettes and want to share?
Reach me at [email protected] or @Jake_Lawlor1