diff --git a/.Rbuildignore b/.Rbuildignore
index 546384c..48a7a79 100644
--- a/.Rbuildignore
+++ b/.Rbuildignore
@@ -16,3 +16,4 @@ README.md
 ^revdep$
 cran-comments.md
 ^CRAN-RELEASE$
+^CRAN-SUBMISSION$
diff --git a/docs/articles/intro-to-viridis.html b/docs/articles/intro-to-viridis.html
index 6375b97..7d0dbde 100644
--- a/docs/articles/intro-to-viridis.html
+++ b/docs/articles/intro-to-viridis.html
@@ -82,7 +82,7 @@
                         <h4 data-toc-skip class="author">Bob Rudis, Noam
 Ross and Simon Garnier</h4>
             
-            <h4 data-toc-skip class="date">2023-05-02</h4>
+            <h4 data-toc-skip class="date">2023-05-03</h4>
       
       <small class="dont-index">Source: <a href="https://github.com/sjmgarnier/viridis/blob/HEAD/vignettes/intro-to-viridis.Rmd" class="external-link"><code>vignettes/intro-to-viridis.Rmd</code></a></small>
       <div class="d-none name"><code>intro-to-viridis.Rmd</code></div>
diff --git a/docs/articles/intro-to-viridis_files/figure-html/tldr_ggplot-1.png b/docs/articles/intro-to-viridis_files/figure-html/tldr_ggplot-1.png
index 586270c..771fc06 100644
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diff --git a/docs/authors.html b/docs/authors.html
index 3ff0e0d..cbeb672 100644
--- a/docs/authors.html
+++ b/docs/authors.html
@@ -89,7 +89,7 @@ <h2 id="citation">Citation</h2>
   year = {2023},
   note = {viridis package version 0.6.3},
   url = {https://sjmgarnier.github.io/viridis/},
-  doi = {10.5281/zenodo.4679424},
+  doi = {10.5281/zenodo.4679423},
 }</pre>
     </div>
   </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
diff --git a/docs/news/index.html b/docs/news/index.html
index b40b76c..97d143a 100644
--- a/docs/news/index.html
+++ b/docs/news/index.html
@@ -51,7 +51,7 @@
     </div>
 
     <div class="section level2">
-<h2 class="pkg-version" data-toc-text="0.6.3" id="viridis-063">viridis 0.6.3<a class="anchor" aria-label="anchor" href="#viridis-063"></a></h2>
+<h2 class="pkg-version" data-toc-text="0.6.3" id="viridis-063">viridis 0.6.3<a class="anchor" aria-label="anchor" href="#viridis-063"></a></h2><p class="text-muted">CRAN release: 2023-05-02</p>
 <div class="section level3">
 <h3 id="new-features-0-6-3">New features<a class="anchor" aria-label="anchor" href="#new-features-0-6-3"></a></h3>
 <ul><li>N/A.</li>
diff --git a/docs/pkgdown.yml b/docs/pkgdown.yml
index affb979..6886ad9 100644
--- a/docs/pkgdown.yml
+++ b/docs/pkgdown.yml
@@ -3,7 +3,7 @@ pkgdown: 2.0.7
 pkgdown_sha: ~
 articles:
   intro-to-viridis: intro-to-viridis.html
-last_built: 2023-05-02T21:43Z
+last_built: 2023-05-03T10:58Z
 urls:
   reference: https://sjmgarnier.github.io/viridis/reference
   article: https://sjmgarnier.github.io/viridis/articles
diff --git a/docs/reference/Rplot003.png b/docs/reference/Rplot003.png
index bd0e041..8444948 100644
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diff --git a/docs/reference/scale_viridis-3.png b/docs/reference/scale_viridis-3.png
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diff --git a/docs/search.json b/docs/search.json
index 786ec82..796f8de 100644
--- a/docs/search.json
+++ b/docs/search.json
@@ -1 +1 @@
-[{"path":"https://sjmgarnier.github.io/viridis/articles/intro-to-viridis.html","id":"tldr","dir":"Articles","previous_headings":"","what":"tl;dr","title":"Introduction to the viridis color maps","text":"Use color scales package make plots pretty, better represent data, easier read colorblindness, print well gray scale. Install viridis like R package: base plots, use viridis() function generate palette:  ggplot, use scale_color_viridis() scale_fill_viridis():","code":"install.packages(\"viridis\") library(viridis) x <- y <- seq(-8*pi, 8*pi, len = 40) r <- sqrt(outer(x^2, y^2, \"+\")) filled.contour(cos(r^2)*exp(-r/(2*pi)),                 axes=FALSE,                color.palette=viridis,                asp=1) library(ggplot2) ggplot(data.frame(x = rnorm(10000), y = rnorm(10000)), aes(x = x, y = y)) +   geom_hex() + coord_fixed() +   scale_fill_viridis() + theme_bw()"},{"path":"https://sjmgarnier.github.io/viridis/articles/intro-to-viridis.html","id":"introduction","dir":"Articles","previous_headings":"","what":"Introduction","title":"Introduction to the viridis color maps","text":"viridis, companion package viridisLite provide series color maps designed improve graph readability readers common forms color blindness /color vision deficiency. color maps also perceptually-uniform, regular form also converted black--white printing. color maps designed : Colorful, spanning wide palette possible make differences easy see, Perceptually uniform, meaning values close similar-appearing colors values far away different-appearing colors, consistently across range values, Robust colorblindness, properties hold true people common forms colorblindness, well grey scale printing, Pretty, oh pretty viridisLite provides base functions generating color maps base R. package meant lightweight dependency-free possible maximum compatibility R ecosystem. viridis provides additional functionalities, particular bindings ggplot2.","code":""},{"path":"https://sjmgarnier.github.io/viridis/articles/intro-to-viridis.html","id":"the-color-scales","dir":"Articles","previous_headings":"","what":"The Color Scales","title":"Introduction to the viridis color maps","text":"package contains eight color scales: “viridis”, primary choice, five alternatives similar properties - “magma”, “plasma”, “inferno”, “civids”, “mako”, “rocket” -, rainbow color map - “turbo”. color maps viridis, magma, inferno, plasma created Stéfan van der Walt (@stefanv) Nathaniel Smith (@njsmith). want know science behind creation color maps, can watch presentation viridis authors SciPy 2015. color map cividis corrected version ‘viridis’, developed Jamie R. Nuñez, Christopher R. Anderton, Ryan S. Renslow, originally ported R Marco Sciaini (@msciain). info cividis can found paper. color maps mako rocket originally created Seaborn statistical data visualization package Python. info mako rocket can found Seaborn website. color map turbo developed Anton Mikhailov address shortcomings Jet rainbow color map false detail, banding color blindness ambiguity. infor turbo can found .","code":""},{"path":"https://sjmgarnier.github.io/viridis/articles/intro-to-viridis.html","id":"comparison","dir":"Articles","previous_headings":"","what":"Comparison","title":"Introduction to the viridis color maps","text":"Let’s compare viridis magma scales commonly used sequential color palettes R: Base R palettes: rainbow.colors, heat.colors, cm.colors default ggplot2 palette Sequential colorbrewer palettes, default blues viridis-like yellow-green-blue  immediately clear “rainbow” palette perceptually uniform; several “kinks” apparent color changes quickly short range values. also true, though less , “heat” colors. scales perceptually uniform, “viridis” stands large perceptual range. makes much use available color space possible maintaining uniformity. Now, let’s compare might appear various forms colorblindness, can simulated using dichromat package:","code":""},{"path":[]},{"path":[]},{"path":[]},{"path":"https://sjmgarnier.github.io/viridis/articles/intro-to-viridis.html","id":"desaturated","dir":"Articles","previous_headings":"Comparison","what":"Desaturated","title":"Introduction to the viridis color maps","text":"can see cases, “rainbow” quite problematic - perceptually consistent across range. “Heat” washes bright colors, brewer scales lesser extent. ggplot scale wash , low perceptual range - ’s much contrast low high values. “viridis” “magma” scales better - cover wide perceptual range brightness brightness blue-yellow, rely much red-green contrast. less well tritanopia (blue-blindness), extrememly rare form colorblindness.","code":""},{"path":"https://sjmgarnier.github.io/viridis/articles/intro-to-viridis.html","id":"usage","dir":"Articles","previous_headings":"","what":"Usage","title":"Introduction to the viridis color maps","text":"viridis() function produces viridis color scale. can choose color scale options using option parameter convenience functions magma(), plasma(), inferno(), cividis(), mako(), rocket(), andturbo()`. inferno() scale used raster U.S. max temperature:  package also contains color scale functions ggplot plots: scale_color_viridis() scale_fill_viridis(). viridis(), can use scales option argument ggplot scales. “magma” scale used cloropleth map U.S. unemployment:  ggplot functions also can used discrete scales argument discrete=TRUE.","code":"library(terra) library(httr) par(mfrow=c(1,1), mar=rep(0.5, 4)) temp_raster <- \"http://ftp.cpc.ncep.noaa.gov/GIS/GRADS_GIS/GeoTIFF/TEMP/us_tmax/us.tmax_nohads_ll_20150219_float.tif\" try(GET(temp_raster,         write_disk(\"us.tmax_nohads_ll_20150219_float.tif\")), silent=TRUE) us <- rast(\"us.tmax_nohads_ll_20150219_float.tif\") us <- project(us, y=\"+proj=aea +lat_1=29.5 +lat_2=45.5 +lat_0=37.5 +lon_0=-96 +x_0=0 +y_0=0 +ellps=GRS80 +datum=NAD83 +units=m +no_defs\") image(us, col=inferno(256), asp=1, axes=FALSE, xaxs=\"i\", xaxt='n', yaxt='n', ann=FALSE) library(maps) ##  ## Attaching package: 'maps' ## The following object is masked from 'package:viridis': ##  ##     unemp library(mapproj)  data(unemp, package = \"viridis\")  county_df <- map_data(\"county\", projection = \"albers\", parameters = c(39, 45)) names(county_df) <- c(\"long\", \"lat\", \"group\", \"order\", \"state_name\", \"county\") county_df$state <- state.abb[match(county_df$state_name, tolower(state.name))] county_df$state_name <- NULL  state_df <- map_data(\"state\", projection = \"albers\", parameters = c(39, 45))  choropleth <- merge(county_df, unemp, by = c(\"state\", \"county\")) choropleth <- choropleth[order(choropleth$order), ]  ggplot(choropleth, aes(long, lat, group = group)) +   geom_polygon(aes(fill = rate), colour = alpha(\"white\", 1 / 2), linewidth = 0.2) +   geom_polygon(data = state_df, colour = \"white\", fill = NA) +   coord_fixed() +   theme_minimal() +   ggtitle(\"US unemployment rate by county\") +   theme(axis.line = element_blank(), axis.text = element_blank(),         axis.ticks = element_blank(), axis.title = element_blank()) +   scale_fill_viridis(option=\"magma\") p <- ggplot(mtcars, aes(wt, mpg)) p + geom_point(size=4, aes(colour = factor(cyl))) +     scale_color_viridis(discrete=TRUE) +     theme_bw()"},{"path":"https://sjmgarnier.github.io/viridis/articles/intro-to-viridis.html","id":"gallery","dir":"Articles","previous_headings":"","what":"Gallery","title":"Introduction to the viridis color maps","text":"examples viridis used wild: James Curley uses viridis matrix plots (Code):  Christopher Moore created contour plots potential dynamic plankton-consumer model:","code":""},{"path":"https://sjmgarnier.github.io/viridis/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"Simon Garnier. Author, maintainer. Noam Ross. Contributor, copyright holder. Bob Rudis. Contributor, copyright holder. Marco Sciaini. Contributor, copyright holder. Antônio Pedro Camargo. Contributor, copyright holder. Cédric Scherer. Contributor, copyright holder.","code":""},{"path":"https://sjmgarnier.github.io/viridis/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"Simon Garnier, Noam Ross, Robert Rudis, Antônio P. Camargo, Marco Sciaini, Cédric Scherer (2023). viridis(Lite) - Colorblind-Friendly Color Maps R. viridis package version 0.6.3.","code":"@Manual{,   title = {{viridis(Lite)} - Colorblind-Friendly Color Maps for R},   author = {{Garnier} and {Simon} and {Ross} and {Noam} and {Rudis} and {Robert} and {Camargo} and Antônio Pedro and {Sciaini} and {Marco} and {Scherer} and {Cédric}},   year = {2023},   note = {viridis package version 0.6.3},   url = {https://sjmgarnier.github.io/viridis/},   doi = {10.5281/zenodo.4679424}, }"},{"path":[]},{"path":"https://sjmgarnier.github.io/viridis/index.html","id":"description","dir":"","previous_headings":"","what":"Description","title":"Colorblind-Friendly Color Maps for R","text":"viridis, companion package viridisLite provide series color maps designed improve graph readability readers common forms color blindness /color vision deficiency. color maps also perceptually-uniform, regular form also converted black--white printing. viridisLite provides base functions generating color maps base R. package meant lightweight dependency-free possible maximum compatibility R ecosystem. viridis provides additional functionalities, particular bindings ggplot2.","code":""},{"path":"https://sjmgarnier.github.io/viridis/index.html","id":"the-color-maps","dir":"","previous_headings":"","what":"The color maps","title":"Colorblind-Friendly Color Maps for R","text":"latest version viridis comes 8 different color maps, pretty!!!","code":""},{"path":"https://sjmgarnier.github.io/viridis/index.html","id":"installation","dir":"","previous_headings":"","what":"Installation","title":"Colorblind-Friendly Color Maps for R","text":"can install viridis CRAN typing following line R console: {r} install.packages(\"viridis\") library(viridis) prefer install development version GitHub repository, simply copy following lines code R terminal install everything need use viridisLite computer: ```{r} (!require(“devtools”)) install.packages(“devtools”) devtools::install_github(“sjmgarnier/viridis”) library(viridis) ```","code":""},{"path":"https://sjmgarnier.github.io/viridis/index.html","id":"references","dir":"","previous_headings":"","what":"References","title":"Colorblind-Friendly Color Maps for R","text":"color maps viridis, magma, inferno, plasma created Stéfan van der Walt (@stefanv) Nathaniel Smith (@njsmith). want know science behind creation color maps, can watch presentation viridis authors SciPy 2015. color map cividis corrected version ‘viridis’, developed Jamie R. Nuñez, Christopher R. Anderton, Ryan S. Renslow, originally ported R Marco Sciaini (@msciain). info cividis can found paper. color maps mako rocket originally created Seaborn statistical data visualization package Python. info mako rocket can found Seaborn website. color map turbo developed Anton Mikhailov address shortcomings Jet rainbow color map false detail, banding color blindness ambiguity. infor turbo can found .","code":""},{"path":"https://sjmgarnier.github.io/viridis/reference/reexports.html","id":null,"dir":"Reference","previous_headings":"","what":"Objects exported from other packages — reexports","title":"Objects exported from other packages — reexports","text":"objects imported packages. Follow links see documentation. viridisLite cividis, inferno, magma, mako, plasma, rocket, turbo, viridis, viridis.map","code":""},{"path":"https://sjmgarnier.github.io/viridis/reference/scale_viridis.html","id":null,"dir":"Reference","previous_headings":"","what":"Viridis Color Scales for ggplot2 — scale_fill_viridis","title":"Viridis Color Scales for ggplot2 — scale_fill_viridis","text":"Scale functions (fill colour/color)  ggplot2. discrete == FALSE (default) arguments  scale_fill_gradientn  scale_color_gradientn. Otherwise function  return discrete_scale plot-computed number  colors. See viridis  viridis.map information color  palettes.","code":""},{"path":"https://sjmgarnier.github.io/viridis/reference/scale_viridis.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Viridis Color Scales for ggplot2 — scale_fill_viridis","text":"","code":"scale_fill_viridis(   ...,   alpha = 1,   begin = 0,   end = 1,   direction = 1,   discrete = FALSE,   option = \"D\",   aesthetics = \"fill\" )  scale_color_viridis(   ...,   alpha = 1,   begin = 0,   end = 1,   direction = 1,   discrete = FALSE,   option = \"D\",   aesthetics = \"color\" )  scale_colour_viridis(   ...,   alpha = 1,   begin = 0,   end = 1,   direction = 1,   discrete = FALSE,   option = \"D\",   aesthetics = \"color\" )"},{"path":"https://sjmgarnier.github.io/viridis/reference/scale_viridis.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Viridis Color Scales for ggplot2 — scale_fill_viridis","text":"... Parameters discrete_scale discrete == TRUE, scale_fill_gradientn/ scale_color_gradientn discrete == FALSE. alpha alpha transparency, number [0,1], see argument alpha hsv. begin (corrected) hue [0,1] color map begins. end (corrected) hue [0,1] color map ends. direction Sets order colors scale. 1, default, colors output viridis_pal. -1, order colors reversed. discrete Generate discrete palette? (default: FALSE - generate continuous palette). option character string indicating color map option use. Eight options available: \"magma\" (\"\") \"inferno\" (\"B\") \"plasma\" (\"C\") \"viridis\" (\"D\") \"cividis\" (\"E\") \"rocket\" (\"F\") \"mako\" (\"G\") \"turbo\" (\"H\") aesthetics Character string vector character strings listing name(s) aesthetic(s) scale works . can useful, example, apply colour settings colour fill aesthetics time, via aesthetics = c(\"colour\", \"fill\").","code":""},{"path":"https://sjmgarnier.github.io/viridis/reference/scale_viridis.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Viridis Color Scales for ggplot2 — scale_fill_viridis","text":"Noam Ross noam.ross@gmail.com / @noamross Bob Rudis bob@rud./ @hrbrmstr Simon Garnier: garnier@njit.edu / @sjmgarnier","code":""},{"path":"https://sjmgarnier.github.io/viridis/reference/scale_viridis.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Viridis Color Scales for ggplot2 — scale_fill_viridis","text":"","code":"library(ggplot2)  # Ripped from the pages of ggplot2 p <- ggplot(mtcars, aes(wt, mpg)) p + geom_point(size = 4, aes(colour = factor(cyl))) +     scale_color_viridis(discrete = TRUE) +     theme_bw()   # Ripped from the pages of ggplot2 dsub <- subset(diamonds, x > 5 & x < 6 & y > 5 & y < 6) dsub$diff <- with(dsub, sqrt(abs(x - y)) * sign(x - y)) d <- ggplot(dsub, aes(x, y, colour = diff)) + geom_point() d + scale_color_viridis() + theme_bw()    # From the main viridis example dat <- data.frame(x = rnorm(10000), y = rnorm(10000))  ggplot(dat, aes(x = x, y = y)) +   geom_hex() + coord_fixed() +   scale_fill_viridis() + theme_bw()   library(ggplot2) library(MASS) library(gridExtra)  data(\"geyser\", package=\"MASS\")  ggplot(geyser, aes(x = duration, y = waiting)) +   xlim(0.5, 6) + ylim(40, 110) +   stat_density2d(aes(fill = ..level..), geom = \"polygon\") +   theme_bw() +   theme(panel.grid = element_blank()) -> gg  grid.arrange(   gg + scale_fill_viridis(option = \"A\") + labs(x = \"Viridis A\", y = NULL),   gg + scale_fill_viridis(option = \"B\") + labs(x = \"Viridis B\", y = NULL),   gg + scale_fill_viridis(option = \"C\") + labs(x = \"Viridis C\", y = NULL),   gg + scale_fill_viridis(option = \"D\") + labs(x = \"Viridis D\", y = NULL),   gg + scale_fill_viridis(option = \"E\") + labs(x = \"Viridis E\", y = NULL),   gg + scale_fill_viridis(option = \"F\") + labs(x = \"Viridis F\", y = NULL),   gg + scale_fill_viridis(option = \"G\") + labs(x = \"Viridis G\", y = NULL),   gg + scale_fill_viridis(option = \"H\") + labs(x = \"Viridis H\", y = NULL),   ncol = 4, nrow = 2 )"},{"path":"https://sjmgarnier.github.io/viridis/reference/unemp.html","id":null,"dir":"Reference","previous_headings":"","what":"USA Unemployment in 2009 — unemp","title":"USA Unemployment in 2009 — unemp","text":"data set containing 2009 unemployment data USA  county.","code":""},{"path":"https://sjmgarnier.github.io/viridis/reference/unemp.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"USA Unemployment in 2009 — unemp","text":"","code":"unemp"},{"path":"https://sjmgarnier.github.io/viridis/reference/unemp.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"USA Unemployment in 2009 — unemp","text":"data frame 3218 rows 8 variables: id county ID number state_fips state FIPS number county_fips county FIPS number name county name year year rate unemployment rate county county abbreviated name state state acronym","code":""},{"path":"https://sjmgarnier.github.io/viridis/reference/unemp.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"USA Unemployment in 2009 — unemp","text":"http://datasets.flowingdata.com/unemployment09.csv","code":""},{"path":"https://sjmgarnier.github.io/viridis/reference/viridis_pal.html","id":null,"dir":"Reference","previous_headings":"","what":"Viridis Color Palettes — viridis_pal","title":"Viridis Color Palettes — viridis_pal","text":"wrapper function around viridis  turn palette function compatible  discrete_scale.","code":""},{"path":"https://sjmgarnier.github.io/viridis/reference/viridis_pal.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Viridis Color Palettes — viridis_pal","text":"","code":"viridis_pal(alpha = 1, begin = 0, end = 1, direction = 1, option = \"D\")"},{"path":"https://sjmgarnier.github.io/viridis/reference/viridis_pal.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Viridis Color Palettes — viridis_pal","text":"alpha alpha transparency, number [0,1], see argument alpha hsv. begin (corrected) hue [0,1] color map begins. end (corrected) hue [0,1] color map ends. direction Sets order colors scale. 1, default, colors ordered darkest lightest. -1, order colors reversed. option character string indicating color map option use. Eight options available: \"magma\" (\"\") \"inferno\" (\"B\") \"plasma\" (\"C\") \"viridis\" (\"D\") \"cividis\" (\"E\") \"rocket\" (\"F\") \"mako\" (\"G\") \"turbo\" (\"H\")","code":""},{"path":"https://sjmgarnier.github.io/viridis/reference/viridis_pal.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Viridis Color Palettes — viridis_pal","text":"See viridis  viridis.map information color  palettes.","code":""},{"path":"https://sjmgarnier.github.io/viridis/reference/viridis_pal.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Viridis Color Palettes — viridis_pal","text":"Bob Rudis: bob@rud./ @hrbrmstr Simon Garnier: garnier@njit.edu / @sjmgarnier","code":""},{"path":"https://sjmgarnier.github.io/viridis/reference/viridis_pal.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Viridis Color Palettes — viridis_pal","text":"","code":"library(scales) show_col(viridis_pal()(12))"},{"path":[]},{"path":"https://sjmgarnier.github.io/viridis/news/index.html","id":"new-features-0-6-3","dir":"Changelog","previous_headings":"","what":"New features","title":"viridis 0.6.3","text":"N/.","code":""},{"path":"https://sjmgarnier.github.io/viridis/news/index.html","id":"minor-improvements-and-fixes-0-6-3","dir":"Changelog","previous_headings":"","what":"Minor improvements and fixes","title":"viridis 0.6.3","text":"Fix scale functions aesthetics specified (thanks Alan O’Callaghan, https://github.com/Alanocallaghan) Remove deprecated dependencies. Fix CITATION issues. Fix check issues.","code":""},{"path":"https://sjmgarnier.github.io/viridis/news/index.html","id":"viridis-062","dir":"Changelog","previous_headings":"","what":"viridis 0.6.2","title":"viridis 0.6.2","text":"CRAN release: 2021-10-13","code":""},{"path":"https://sjmgarnier.github.io/viridis/news/index.html","id":"new-features-0-6-2","dir":"Changelog","previous_headings":"","what":"New features","title":"viridis 0.6.2","text":"N/.","code":""},{"path":"https://sjmgarnier.github.io/viridis/news/index.html","id":"minor-improvements-and-fixes-0-6-2","dir":"Changelog","previous_headings":"","what":"Minor improvements and fixes","title":"viridis 0.6.2","text":"Fix minor check warnings requested CRAN.","code":""},{"path":"https://sjmgarnier.github.io/viridis/news/index.html","id":"viridis-061","dir":"Changelog","previous_headings":"","what":"viridis 0.6.1","title":"viridis 0.6.1","text":"CRAN release: 2021-05-11","code":""},{"path":"https://sjmgarnier.github.io/viridis/news/index.html","id":"new-features-0-6-1","dir":"Changelog","previous_headings":"","what":"New features","title":"viridis 0.6.1","text":"N/.","code":""},{"path":"https://sjmgarnier.github.io/viridis/news/index.html","id":"minor-improvements-and-fixes-0-6-1","dir":"Changelog","previous_headings":"","what":"Minor improvements and fixes","title":"viridis 0.6.1","text":"Include unemployment data package avoid CRAN check errors original data accessible.","code":""},{"path":"https://sjmgarnier.github.io/viridis/news/index.html","id":"viridis-060","dir":"Changelog","previous_headings":"","what":"viridis 0.6.0","title":"viridis 0.6.0","text":"CRAN release: 2021-04-15","code":""},{"path":"https://sjmgarnier.github.io/viridis/news/index.html","id":"new-features-0-6-0","dir":"Changelog","previous_headings":"","what":"New features","title":"viridis 0.6.0","text":"Add 3 color maps: mako, rocket, turbo.","code":""},{"path":"https://sjmgarnier.github.io/viridis/news/index.html","id":"minor-improvements-and-fixes-0-6-0","dir":"Changelog","previous_headings":"","what":"Minor improvements and fixes","title":"viridis 0.6.0","text":"Minor bug fixes improvements .","code":""}]
+[{"path":"https://sjmgarnier.github.io/viridis/articles/intro-to-viridis.html","id":"tldr","dir":"Articles","previous_headings":"","what":"tl;dr","title":"Introduction to the viridis color maps","text":"Use color scales package make plots pretty, better represent data, easier read colorblindness, print well gray scale. Install viridis like R package: base plots, use viridis() function generate palette:  ggplot, use scale_color_viridis() scale_fill_viridis():","code":"install.packages(\"viridis\") library(viridis) x <- y <- seq(-8*pi, 8*pi, len = 40) r <- sqrt(outer(x^2, y^2, \"+\")) filled.contour(cos(r^2)*exp(-r/(2*pi)),                 axes=FALSE,                color.palette=viridis,                asp=1) library(ggplot2) ggplot(data.frame(x = rnorm(10000), y = rnorm(10000)), aes(x = x, y = y)) +   geom_hex() + coord_fixed() +   scale_fill_viridis() + theme_bw()"},{"path":"https://sjmgarnier.github.io/viridis/articles/intro-to-viridis.html","id":"introduction","dir":"Articles","previous_headings":"","what":"Introduction","title":"Introduction to the viridis color maps","text":"viridis, companion package viridisLite provide series color maps designed improve graph readability readers common forms color blindness /color vision deficiency. color maps also perceptually-uniform, regular form also converted black--white printing. color maps designed : Colorful, spanning wide palette possible make differences easy see, Perceptually uniform, meaning values close similar-appearing colors values far away different-appearing colors, consistently across range values, Robust colorblindness, properties hold true people common forms colorblindness, well grey scale printing, Pretty, oh pretty viridisLite provides base functions generating color maps base R. package meant lightweight dependency-free possible maximum compatibility R ecosystem. viridis provides additional functionalities, particular bindings ggplot2.","code":""},{"path":"https://sjmgarnier.github.io/viridis/articles/intro-to-viridis.html","id":"the-color-scales","dir":"Articles","previous_headings":"","what":"The Color Scales","title":"Introduction to the viridis color maps","text":"package contains eight color scales: “viridis”, primary choice, five alternatives similar properties - “magma”, “plasma”, “inferno”, “civids”, “mako”, “rocket” -, rainbow color map - “turbo”. color maps viridis, magma, inferno, plasma created Stéfan van der Walt (@stefanv) Nathaniel Smith (@njsmith). want know science behind creation color maps, can watch presentation viridis authors SciPy 2015. color map cividis corrected version ‘viridis’, developed Jamie R. Nuñez, Christopher R. Anderton, Ryan S. Renslow, originally ported R Marco Sciaini (@msciain). info cividis can found paper. color maps mako rocket originally created Seaborn statistical data visualization package Python. info mako rocket can found Seaborn website. color map turbo developed Anton Mikhailov address shortcomings Jet rainbow color map false detail, banding color blindness ambiguity. infor turbo can found .","code":""},{"path":"https://sjmgarnier.github.io/viridis/articles/intro-to-viridis.html","id":"comparison","dir":"Articles","previous_headings":"","what":"Comparison","title":"Introduction to the viridis color maps","text":"Let’s compare viridis magma scales commonly used sequential color palettes R: Base R palettes: rainbow.colors, heat.colors, cm.colors default ggplot2 palette Sequential colorbrewer palettes, default blues viridis-like yellow-green-blue  immediately clear “rainbow” palette perceptually uniform; several “kinks” apparent color changes quickly short range values. also true, though less , “heat” colors. scales perceptually uniform, “viridis” stands large perceptual range. makes much use available color space possible maintaining uniformity. Now, let’s compare might appear various forms colorblindness, can simulated using dichromat package:","code":""},{"path":[]},{"path":[]},{"path":[]},{"path":"https://sjmgarnier.github.io/viridis/articles/intro-to-viridis.html","id":"desaturated","dir":"Articles","previous_headings":"Comparison","what":"Desaturated","title":"Introduction to the viridis color maps","text":"can see cases, “rainbow” quite problematic - perceptually consistent across range. “Heat” washes bright colors, brewer scales lesser extent. ggplot scale wash , low perceptual range - ’s much contrast low high values. “viridis” “magma” scales better - cover wide perceptual range brightness brightness blue-yellow, rely much red-green contrast. less well tritanopia (blue-blindness), extrememly rare form colorblindness.","code":""},{"path":"https://sjmgarnier.github.io/viridis/articles/intro-to-viridis.html","id":"usage","dir":"Articles","previous_headings":"","what":"Usage","title":"Introduction to the viridis color maps","text":"viridis() function produces viridis color scale. can choose color scale options using option parameter convenience functions magma(), plasma(), inferno(), cividis(), mako(), rocket(), andturbo()`. inferno() scale used raster U.S. max temperature:  package also contains color scale functions ggplot plots: scale_color_viridis() scale_fill_viridis(). viridis(), can use scales option argument ggplot scales. “magma” scale used cloropleth map U.S. unemployment:  ggplot functions also can used discrete scales argument discrete=TRUE.","code":"library(terra) library(httr) par(mfrow=c(1,1), mar=rep(0.5, 4)) temp_raster <- \"http://ftp.cpc.ncep.noaa.gov/GIS/GRADS_GIS/GeoTIFF/TEMP/us_tmax/us.tmax_nohads_ll_20150219_float.tif\" try(GET(temp_raster,         write_disk(\"us.tmax_nohads_ll_20150219_float.tif\")), silent=TRUE) us <- rast(\"us.tmax_nohads_ll_20150219_float.tif\") us <- project(us, y=\"+proj=aea +lat_1=29.5 +lat_2=45.5 +lat_0=37.5 +lon_0=-96 +x_0=0 +y_0=0 +ellps=GRS80 +datum=NAD83 +units=m +no_defs\") image(us, col=inferno(256), asp=1, axes=FALSE, xaxs=\"i\", xaxt='n', yaxt='n', ann=FALSE) library(maps) ##  ## Attaching package: 'maps' ## The following object is masked from 'package:viridis': ##  ##     unemp library(mapproj)  data(unemp, package = \"viridis\")  county_df <- map_data(\"county\", projection = \"albers\", parameters = c(39, 45)) names(county_df) <- c(\"long\", \"lat\", \"group\", \"order\", \"state_name\", \"county\") county_df$state <- state.abb[match(county_df$state_name, tolower(state.name))] county_df$state_name <- NULL  state_df <- map_data(\"state\", projection = \"albers\", parameters = c(39, 45))  choropleth <- merge(county_df, unemp, by = c(\"state\", \"county\")) choropleth <- choropleth[order(choropleth$order), ]  ggplot(choropleth, aes(long, lat, group = group)) +   geom_polygon(aes(fill = rate), colour = alpha(\"white\", 1 / 2), linewidth = 0.2) +   geom_polygon(data = state_df, colour = \"white\", fill = NA) +   coord_fixed() +   theme_minimal() +   ggtitle(\"US unemployment rate by county\") +   theme(axis.line = element_blank(), axis.text = element_blank(),         axis.ticks = element_blank(), axis.title = element_blank()) +   scale_fill_viridis(option=\"magma\") p <- ggplot(mtcars, aes(wt, mpg)) p + geom_point(size=4, aes(colour = factor(cyl))) +     scale_color_viridis(discrete=TRUE) +     theme_bw()"},{"path":"https://sjmgarnier.github.io/viridis/articles/intro-to-viridis.html","id":"gallery","dir":"Articles","previous_headings":"","what":"Gallery","title":"Introduction to the viridis color maps","text":"examples viridis used wild: James Curley uses viridis matrix plots (Code):  Christopher Moore created contour plots potential dynamic plankton-consumer model:","code":""},{"path":"https://sjmgarnier.github.io/viridis/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"Simon Garnier. Author, maintainer. Noam Ross. Contributor, copyright holder. Bob Rudis. Contributor, copyright holder. Marco Sciaini. Contributor, copyright holder. Antônio Pedro Camargo. Contributor, copyright holder. Cédric Scherer. Contributor, copyright holder.","code":""},{"path":"https://sjmgarnier.github.io/viridis/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"Simon Garnier, Noam Ross, Robert Rudis, Antônio P. Camargo, Marco Sciaini, Cédric Scherer (2023). viridis(Lite) - Colorblind-Friendly Color Maps R. viridis package version 0.6.3.","code":"@Manual{,   title = {{viridis(Lite)} - Colorblind-Friendly Color Maps for R},   author = {{Garnier} and {Simon} and {Ross} and {Noam} and {Rudis} and {Robert} and {Camargo} and Antônio Pedro and {Sciaini} and {Marco} and {Scherer} and {Cédric}},   year = {2023},   note = {viridis package version 0.6.3},   url = {https://sjmgarnier.github.io/viridis/},   doi = {10.5281/zenodo.4679423}, }"},{"path":[]},{"path":"https://sjmgarnier.github.io/viridis/index.html","id":"description","dir":"","previous_headings":"","what":"Description","title":"Colorblind-Friendly Color Maps for R","text":"viridis, companion package viridisLite provide series color maps designed improve graph readability readers common forms color blindness /color vision deficiency. color maps also perceptually-uniform, regular form also converted black--white printing. viridisLite provides base functions generating color maps base R. package meant lightweight dependency-free possible maximum compatibility R ecosystem. viridis provides additional functionalities, particular bindings ggplot2.","code":""},{"path":"https://sjmgarnier.github.io/viridis/index.html","id":"the-color-maps","dir":"","previous_headings":"","what":"The color maps","title":"Colorblind-Friendly Color Maps for R","text":"latest version viridis comes 8 different color maps, pretty!!!","code":""},{"path":"https://sjmgarnier.github.io/viridis/index.html","id":"installation","dir":"","previous_headings":"","what":"Installation","title":"Colorblind-Friendly Color Maps for R","text":"can install viridis CRAN typing following line R console: {r} install.packages(\"viridis\") library(viridis) prefer install development version GitHub repository, simply copy following lines code R terminal install everything need use viridisLite computer: ```{r} (!require(“devtools”)) install.packages(“devtools”) devtools::install_github(“sjmgarnier/viridis”) library(viridis) ```","code":""},{"path":"https://sjmgarnier.github.io/viridis/index.html","id":"references","dir":"","previous_headings":"","what":"References","title":"Colorblind-Friendly Color Maps for R","text":"color maps viridis, magma, inferno, plasma created Stéfan van der Walt (@stefanv) Nathaniel Smith (@njsmith). want know science behind creation color maps, can watch presentation viridis authors SciPy 2015. color map cividis corrected version ‘viridis’, developed Jamie R. Nuñez, Christopher R. Anderton, Ryan S. Renslow, originally ported R Marco Sciaini (@msciain). info cividis can found paper. color maps mako rocket originally created Seaborn statistical data visualization package Python. info mako rocket can found Seaborn website. color map turbo developed Anton Mikhailov address shortcomings Jet rainbow color map false detail, banding color blindness ambiguity. infor turbo can found .","code":""},{"path":"https://sjmgarnier.github.io/viridis/reference/reexports.html","id":null,"dir":"Reference","previous_headings":"","what":"Objects exported from other packages — reexports","title":"Objects exported from other packages — reexports","text":"objects imported packages. Follow links see documentation. viridisLite cividis, inferno, magma, mako, plasma, rocket, turbo, viridis, viridis.map","code":""},{"path":"https://sjmgarnier.github.io/viridis/reference/scale_viridis.html","id":null,"dir":"Reference","previous_headings":"","what":"Viridis Color Scales for ggplot2 — scale_fill_viridis","title":"Viridis Color Scales for ggplot2 — scale_fill_viridis","text":"Scale functions (fill colour/color)  ggplot2. discrete == FALSE (default) arguments  scale_fill_gradientn  scale_color_gradientn. Otherwise function  return discrete_scale plot-computed number  colors. See viridis  viridis.map information color  palettes.","code":""},{"path":"https://sjmgarnier.github.io/viridis/reference/scale_viridis.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Viridis Color Scales for ggplot2 — scale_fill_viridis","text":"","code":"scale_fill_viridis(   ...,   alpha = 1,   begin = 0,   end = 1,   direction = 1,   discrete = FALSE,   option = \"D\",   aesthetics = \"fill\" )  scale_color_viridis(   ...,   alpha = 1,   begin = 0,   end = 1,   direction = 1,   discrete = FALSE,   option = \"D\",   aesthetics = \"color\" )  scale_colour_viridis(   ...,   alpha = 1,   begin = 0,   end = 1,   direction = 1,   discrete = FALSE,   option = \"D\",   aesthetics = \"color\" )"},{"path":"https://sjmgarnier.github.io/viridis/reference/scale_viridis.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Viridis Color Scales for ggplot2 — scale_fill_viridis","text":"... Parameters discrete_scale discrete == TRUE, scale_fill_gradientn/ scale_color_gradientn discrete == FALSE. alpha alpha transparency, number [0,1], see argument alpha hsv. begin (corrected) hue [0,1] color map begins. end (corrected) hue [0,1] color map ends. direction Sets order colors scale. 1, default, colors output viridis_pal. -1, order colors reversed. discrete Generate discrete palette? (default: FALSE - generate continuous palette). option character string indicating color map option use. Eight options available: \"magma\" (\"\") \"inferno\" (\"B\") \"plasma\" (\"C\") \"viridis\" (\"D\") \"cividis\" (\"E\") \"rocket\" (\"F\") \"mako\" (\"G\") \"turbo\" (\"H\") aesthetics Character string vector character strings listing name(s) aesthetic(s) scale works . can useful, example, apply colour settings colour fill aesthetics time, via aesthetics = c(\"colour\", \"fill\").","code":""},{"path":"https://sjmgarnier.github.io/viridis/reference/scale_viridis.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Viridis Color Scales for ggplot2 — scale_fill_viridis","text":"Noam Ross noam.ross@gmail.com / @noamross Bob Rudis bob@rud./ @hrbrmstr Simon Garnier: garnier@njit.edu / @sjmgarnier","code":""},{"path":"https://sjmgarnier.github.io/viridis/reference/scale_viridis.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Viridis Color Scales for ggplot2 — scale_fill_viridis","text":"","code":"library(ggplot2)  # Ripped from the pages of ggplot2 p <- ggplot(mtcars, aes(wt, mpg)) p + geom_point(size = 4, aes(colour = factor(cyl))) +     scale_color_viridis(discrete = TRUE) +     theme_bw()   # Ripped from the pages of ggplot2 dsub <- subset(diamonds, x > 5 & x < 6 & y > 5 & y < 6) dsub$diff <- with(dsub, sqrt(abs(x - y)) * sign(x - y)) d <- ggplot(dsub, aes(x, y, colour = diff)) + geom_point() d + scale_color_viridis() + theme_bw()    # From the main viridis example dat <- data.frame(x = rnorm(10000), y = rnorm(10000))  ggplot(dat, aes(x = x, y = y)) +   geom_hex() + coord_fixed() +   scale_fill_viridis() + theme_bw()   library(ggplot2) library(MASS) library(gridExtra)  data(\"geyser\", package=\"MASS\")  ggplot(geyser, aes(x = duration, y = waiting)) +   xlim(0.5, 6) + ylim(40, 110) +   stat_density2d(aes(fill = ..level..), geom = \"polygon\") +   theme_bw() +   theme(panel.grid = element_blank()) -> gg  grid.arrange(   gg + scale_fill_viridis(option = \"A\") + labs(x = \"Viridis A\", y = NULL),   gg + scale_fill_viridis(option = \"B\") + labs(x = \"Viridis B\", y = NULL),   gg + scale_fill_viridis(option = \"C\") + labs(x = \"Viridis C\", y = NULL),   gg + scale_fill_viridis(option = \"D\") + labs(x = \"Viridis D\", y = NULL),   gg + scale_fill_viridis(option = \"E\") + labs(x = \"Viridis E\", y = NULL),   gg + scale_fill_viridis(option = \"F\") + labs(x = \"Viridis F\", y = NULL),   gg + scale_fill_viridis(option = \"G\") + labs(x = \"Viridis G\", y = NULL),   gg + scale_fill_viridis(option = \"H\") + labs(x = \"Viridis H\", y = NULL),   ncol = 4, nrow = 2 )"},{"path":"https://sjmgarnier.github.io/viridis/reference/unemp.html","id":null,"dir":"Reference","previous_headings":"","what":"USA Unemployment in 2009 — unemp","title":"USA Unemployment in 2009 — unemp","text":"data set containing 2009 unemployment data USA  county.","code":""},{"path":"https://sjmgarnier.github.io/viridis/reference/unemp.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"USA Unemployment in 2009 — unemp","text":"","code":"unemp"},{"path":"https://sjmgarnier.github.io/viridis/reference/unemp.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"USA Unemployment in 2009 — unemp","text":"data frame 3218 rows 8 variables: id county ID number state_fips state FIPS number county_fips county FIPS number name county name year year rate unemployment rate county county abbreviated name state state acronym","code":""},{"path":"https://sjmgarnier.github.io/viridis/reference/unemp.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"USA Unemployment in 2009 — unemp","text":"http://datasets.flowingdata.com/unemployment09.csv","code":""},{"path":"https://sjmgarnier.github.io/viridis/reference/viridis_pal.html","id":null,"dir":"Reference","previous_headings":"","what":"Viridis Color Palettes — viridis_pal","title":"Viridis Color Palettes — viridis_pal","text":"wrapper function around viridis  turn palette function compatible  discrete_scale.","code":""},{"path":"https://sjmgarnier.github.io/viridis/reference/viridis_pal.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Viridis Color Palettes — viridis_pal","text":"","code":"viridis_pal(alpha = 1, begin = 0, end = 1, direction = 1, option = \"D\")"},{"path":"https://sjmgarnier.github.io/viridis/reference/viridis_pal.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Viridis Color Palettes — viridis_pal","text":"alpha alpha transparency, number [0,1], see argument alpha hsv. begin (corrected) hue [0,1] color map begins. end (corrected) hue [0,1] color map ends. direction Sets order colors scale. 1, default, colors ordered darkest lightest. -1, order colors reversed. option character string indicating color map option use. Eight options available: \"magma\" (\"\") \"inferno\" (\"B\") \"plasma\" (\"C\") \"viridis\" (\"D\") \"cividis\" (\"E\") \"rocket\" (\"F\") \"mako\" (\"G\") \"turbo\" (\"H\")","code":""},{"path":"https://sjmgarnier.github.io/viridis/reference/viridis_pal.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Viridis Color Palettes — viridis_pal","text":"See viridis  viridis.map information color  palettes.","code":""},{"path":"https://sjmgarnier.github.io/viridis/reference/viridis_pal.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Viridis Color Palettes — viridis_pal","text":"Bob Rudis: bob@rud./ @hrbrmstr Simon Garnier: garnier@njit.edu / @sjmgarnier","code":""},{"path":"https://sjmgarnier.github.io/viridis/reference/viridis_pal.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Viridis Color Palettes — viridis_pal","text":"","code":"library(scales) show_col(viridis_pal()(12))"},{"path":"https://sjmgarnier.github.io/viridis/news/index.html","id":"viridis-063","dir":"Changelog","previous_headings":"","what":"viridis 0.6.3","title":"viridis 0.6.3","text":"CRAN release: 2023-05-02","code":""},{"path":"https://sjmgarnier.github.io/viridis/news/index.html","id":"new-features-0-6-3","dir":"Changelog","previous_headings":"","what":"New features","title":"viridis 0.6.3","text":"N/.","code":""},{"path":"https://sjmgarnier.github.io/viridis/news/index.html","id":"minor-improvements-and-fixes-0-6-3","dir":"Changelog","previous_headings":"","what":"Minor improvements and fixes","title":"viridis 0.6.3","text":"Fix scale functions aesthetics specified (thanks Alan O’Callaghan, https://github.com/Alanocallaghan) Remove deprecated dependencies. Fix CITATION issues. Fix check issues.","code":""},{"path":"https://sjmgarnier.github.io/viridis/news/index.html","id":"viridis-062","dir":"Changelog","previous_headings":"","what":"viridis 0.6.2","title":"viridis 0.6.2","text":"CRAN release: 2021-10-13","code":""},{"path":"https://sjmgarnier.github.io/viridis/news/index.html","id":"new-features-0-6-2","dir":"Changelog","previous_headings":"","what":"New features","title":"viridis 0.6.2","text":"N/.","code":""},{"path":"https://sjmgarnier.github.io/viridis/news/index.html","id":"minor-improvements-and-fixes-0-6-2","dir":"Changelog","previous_headings":"","what":"Minor improvements and fixes","title":"viridis 0.6.2","text":"Fix minor check warnings requested CRAN.","code":""},{"path":"https://sjmgarnier.github.io/viridis/news/index.html","id":"viridis-061","dir":"Changelog","previous_headings":"","what":"viridis 0.6.1","title":"viridis 0.6.1","text":"CRAN release: 2021-05-11","code":""},{"path":"https://sjmgarnier.github.io/viridis/news/index.html","id":"new-features-0-6-1","dir":"Changelog","previous_headings":"","what":"New features","title":"viridis 0.6.1","text":"N/.","code":""},{"path":"https://sjmgarnier.github.io/viridis/news/index.html","id":"minor-improvements-and-fixes-0-6-1","dir":"Changelog","previous_headings":"","what":"Minor improvements and fixes","title":"viridis 0.6.1","text":"Include unemployment data package avoid CRAN check errors original data accessible.","code":""},{"path":"https://sjmgarnier.github.io/viridis/news/index.html","id":"viridis-060","dir":"Changelog","previous_headings":"","what":"viridis 0.6.0","title":"viridis 0.6.0","text":"CRAN release: 2021-04-15","code":""},{"path":"https://sjmgarnier.github.io/viridis/news/index.html","id":"new-features-0-6-0","dir":"Changelog","previous_headings":"","what":"New features","title":"viridis 0.6.0","text":"Add 3 color maps: mako, rocket, turbo.","code":""},{"path":"https://sjmgarnier.github.io/viridis/news/index.html","id":"minor-improvements-and-fixes-0-6-0","dir":"Changelog","previous_headings":"","what":"Minor improvements and fixes","title":"viridis 0.6.0","text":"Minor bug fixes improvements .","code":""}]
diff --git a/inst/CITATION b/inst/CITATION
index 5f877d2..c4a4e3a 100644
--- a/inst/CITATION
+++ b/inst/CITATION
@@ -14,7 +14,7 @@ bibentry(
   pages    = "",
   note     = note,
   url      = "https://sjmgarnier.github.io/viridis/",
-  doi      = "10.5281/zenodo.4679424",
+  doi      = "10.5281/zenodo.4679423",
   textVersion = paste0(
     "Simon Garnier, Noam Ross, Robert Rudis, Antônio P. Camargo, Marco Sciaini, and Cédric Scherer (", year, "). viridis(Lite) - Colorblind-Friendly Color Maps for R. ", note, "."
   )