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https://github.com/jkaupp/nord
ArcticIce Studios nord, and northern inspired palettes from the Group of Seven.
https://github.com/jkaupp/nord
Last synced: 3 days ago
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ArcticIce Studios nord, and northern inspired palettes from the Group of Seven.
- Host: GitHub
- URL: https://github.com/jkaupp/nord
- Owner: jkaupp
- License: other
- Created: 2017-12-09T01:05:35.000Z (almost 7 years ago)
- Default Branch: master
- Last Pushed: 2019-08-29T18:28:50.000Z (about 5 years ago)
- Last Synced: 2024-08-03T23:24:50.606Z (3 months ago)
- Language: R
- Homepage:
- Size: 57.6 KB
- Stars: 51
- Watchers: 6
- Forks: 4
- Open Issues: 0
-
Metadata Files:
- Readme: README.Rmd
- License: LICENSE
Awesome Lists containing this project
README
---
output: github_document
---
```{r setup, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "man/figures/README-",
out.width = "100%"
)
```
# nord: Northern-themed Color palettes
[](https://travis-ci.org/jkaupp/nord)[](https://ci.appveyor.com/project/jkaupp/nord)[](https://cran.r-project.org/package=nord)[](https://CRAN.R-project.org/package=nord)
The goal of nord is to provide access to many northern inspired palettes:
1. 4 colour palettes from [ArticIceStudio's Nord Palettes](https://git.io/nord)
2. 1 color palette extracted from [Lumina Borealis](https://www.luminaborealis.com/)
3. 11 colour palettes extracted from the works of the [Group of Seven](https://en.wikipedia.org/wiki/Group_of_Seven_(artists)).
These palettes can be used both with `ggplot2`, `lattice` and base R plotting to provide color to charts and graphics. The palettes in `nord` try to split equally between qualitative, sequential and diverging data, similar to the categories used in [ColorBrewer](http://colorbrewer2.org/). Further information and use of each palette can be found in the vignette.
## Installation
You can install nord from CRAN:
```{r cran-install, eval = FALSE}
install.packages("nord")
```
or you can install the development version of nord from github with:
```{r gh-installation, eval = FALSE}
# install.packages("devtools")
devtools::install_github("jkaupp/nord")
```
## The Palettes of `nord`
```{r palettes}
library(nord)
library(purrr)
par(mfrow=c(8, 2), lheight = 2, mar=rep(1, 4), adj = 0)
walk(names(nord_palettes), nord_show_palette)
```
## Example
This is a basic example which shows you how to use the different features in `nord`:
Here is how to use `scale_fill_nord()` with `ggplot2`
```{r ggplot2_example}
library(ggplot2)
library(nord)
ggplot(diamonds) +
geom_bar(aes(x = cut, fill = clarity)) +
scale_fill_nord("victory_bonds")
```
Here is using the `nord` function, with built in color-ramping, with the obligatory base r volcano.
```{r plot_example}
image(volcano, col = nord("aurora", 20))
```
You can view the individual palettes in `nord` via `nord_show_palette()`
```{r show_palette}
nord_show_palette("baie_mouton")
```
## Acknowledgements
I started building this package long ago, as part of my own personal utility packages, as I have been using the nord palettes from ArcticIce Studioes for quite some time. A few months ago, I read something on the interwebs stating that work you did that was still private was pretty much a waste, so share it openly. That struck a chord. Then I read Maelle Salmon's ["How to Develop Good R Packages (for open science)"](http://www.masalmon.eu/2017/12/11/goodrpackages/), and was introduced to `usethis`, `styler` and `goodpractice`. That was the catalyst for making this package.
I drew inspiration from many color palette packages out there (`viridis`, `ochRe`, `swatches`, `wesanderson`, `RColorBrewer`), and used a lot of the functions to modernize, streamline and finally create `nord`.
## Referenced Work from the Group of Seven
* Forest, Algoma by Arthur Lismer
* Entrance to Halifax Harbor by AY Jackson
* Baie des Moutons by Edwin Holgate
* Moose Pond by Frank H Johnston
* A Northern Silver Mine by Franklin Carmichael
* The Cloudy Red Mountain by Frederick H Varley
* Give Us the Tools by AJ Casson
* Mountain Forms by Lawren S. Harris
* Afternoon Sun Lake Superior by Lawren S. Harris
* Goat Range Rocky Mountain by JEH MacDonald
* Sunny Afternoon Prarie by Lionel LeMoine Fitzgerald