From 9f7674d1931e28747e7dd01fd694d8a961c2bf06 Mon Sep 17 00:00:00 2001
From: christopherkenny <ctk44@cornell.edu>
Date: Tue, 15 Aug 2023 14:43:50 +0000
Subject: [PATCH] =?UTF-8?q?Deploying=20to=20gh-pages=20from=20@=20alarm-re?=
 =?UTF-8?q?dist/ggredist@a7706cf95983092a317e4f4f1c4d57de9f6b7908=20?=
 =?UTF-8?q?=F0=9F=9A=80?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 apple-touch-icon-120x120.png | Bin 10581 -> 10581 bytes
 apple-touch-icon-152x152.png | Bin 13531 -> 13531 bytes
 apple-touch-icon-180x180.png | Bin 16047 -> 16047 bytes
 apple-touch-icon-60x60.png   | Bin 4655 -> 4655 bytes
 apple-touch-icon-76x76.png   | Bin 6202 -> 6202 bytes
 apple-touch-icon.png         | Bin 16047 -> 16047 bytes
 favicon-16x16.png            | Bin 1320 -> 1320 bytes
 favicon-32x32.png            | Bin 2388 -> 2388 bytes
 pkgdown.yml                  |   2 +-
 reference/scale_538-1.png    | Bin 0 -> 265860 bytes
 reference/scale_538.html     |  98 +---------
 reference/scale_wiki-1.png   | Bin 0 -> 298786 bytes
 reference/scale_wiki.html    | 368 +----------------------------------
 search.json                  |   2 +-
 14 files changed, 18 insertions(+), 452 deletions(-)
 create mode 100644 reference/scale_538-1.png
 create mode 100644 reference/scale_wiki-1.png

diff --git a/apple-touch-icon-120x120.png b/apple-touch-icon-120x120.png
index 2446ac2320d28b35b2b941d6735f074dde172c57..85cbadeda7416f26c2365b74e2ff00b8de366a98 100644
GIT binary patch
delta 64
zcmcZ_bTw!~H9McS;LaObb2c_9Y6uycSeY1G8JcSw7+4t?oO{1lc=A>ac{Jhun^@OR
Iex{KR0LuXtjQ{`u

delta 64
zcmcZ_bTw!~H9HfRR&SWT{l+Fm4Iu*~D?<Y-6C-T{11kfA;=Nm~CU4b{M-ygxz}q(Y
HnMOVUdu|gy

diff --git a/apple-touch-icon-152x152.png b/apple-touch-icon-152x152.png
index 757b9789006c27a4c05f7f9bfba58e4062f00383..7339557c21a16062f55365012775fb14e768ac26 100644
GIT binary patch
delta 64
zcmcbec{_7LH9McSkix}kwT(^7jfD(NtW1op3@x+`46F<cES8`BHQCxk9!=QuSE<|N
H9Fu$izN!?g

delta 64
zcmcbec{_7LH9HfR_OC$sl^dIu8w(j2Ss5BwnHXyu7+4t?Ts^g~Z?d(CJeu&5>1;-m
Hb4>C9**Fxv

diff --git a/apple-touch-icon-180x180.png b/apple-touch-icon-180x180.png
index ca0505051eadcb1fabbfc3a0b2941f8f97e373b7..7529ad5fa4a5440999abb5b339377eed863cb4e2 100644
GIT binary patch
delta 64
zcmZ2qyS{cpH9McSaQHRv4I7)PZG{X?tW1op3@x<{46F<c=3O}EH<{l~9!>atZ{4TK
H4tDtf%6k=g

delta 64
zcmZ2qyS{cpH9HfRPKs$4*T$x5TOk7@D?<Y-6BBI%11kdqf!qd$$^3TmXu^pG7JDW;
H*yRHNS(y=N

diff --git a/apple-touch-icon-60x60.png b/apple-touch-icon-60x60.png
index f3d72406bfcc6a88e7e40ed9cb9eae563417c52c..4489b717226991b594f340fa79653d2437398168 100644
GIT binary patch
delta 64
zcmZ3lvR-9EH9Ma+zw>qR{~Mcr3kVsSSeY1G8JcPv7+4t?L>8>En%plak0z|4E7CUk
HfM7lVk}4AH

delta 64
zcmZ3lvR-9EH9HfRMskFo@W!U!0zw8xR)z*vCI;FD237_JPn4DjPwp3#M-!e}FSCB~
H0l|C#T-g$=

diff --git a/apple-touch-icon-76x76.png b/apple-touch-icon-76x76.png
index f415dcae2484ff3ed04edeb0866aa9c37ef46a46..0e315c29936886238977385285926b47f3a4d697 100644
GIT binary patch
delta 62
zcmdmGu*+aVH9McSz`6TUTpOF%#03patW1op49&C+46F<cGG=U>JX2f&O;qwI-{e!`
F1pr9R5%d56

delta 62
zcmdmGu*+aVH9HfRrbv8U>&7NFaX|wkD?<Y-6GLqS11kdqr_lA2XNoJJi5hc=Pd+7H
F0014~5M=-W

diff --git a/apple-touch-icon.png b/apple-touch-icon.png
index 3810446ea9ff1434c3ea1874e7a7a157aa0111b2..3e5fa4e860d84bb3574f9edd95fbf86e8b8fd885 100644
GIT binary patch
delta 64
zcmZ2qyS{cpH9McS$jMFjgf})-+X@+)SeY1G85w9B7+4t?v>tD%o6K(~k0$(Omd&Bb
H4tDtf&+!!+

delta 64
zcmZ2qyS{cpH9HfRuCURrIUAd*ZG{YstPBmTOiZ;646F<cwn=qwnapn|k0yNF-I!yt
HgIzuVj-(Q=

diff --git a/favicon-16x16.png b/favicon-16x16.png
index ab3ed291718ecde151092ab1a41ecf4ef3b38855..e2907e518d02a19721a89d04d64b4cc6a920e1c4 100644
GIT binary patch
delta 66
zcmZ3%wSsGdEi*fxws^qq{*{|un2i{P3{9*|jIE4}wG9lc3=FpD&wD(%gGC-q_-K(@
J{N$Z1`2cS-67c{4

delta 66
zcmZ3%wSsGdEi*e4mm$0Hv&)-Zn2i{P42-M{4XjKowG9lc3=9f)Jv=bEgGC-qnBjS3
J&E%ad`2b@(67&E7

diff --git a/favicon-32x32.png b/favicon-32x32.png
index df0677fa227e09245b805fc93aa2e141cacf8101..ce58c9ba8acf30c3b534371f2af87333de29abc1 100644
GIT binary patch
delta 90
zcmca2bVX=FH9McS!~vE`78{!sIGhbltW1opj7+o*46F<c3Og3$GB7ZxmbgZgq$HN4
iTIJ@aWTsUz7#SED>l#?-8k&ZnYGAl3adGlfj(h;6{2B59

delta 90
zcmca2bVX=FH9HfR(LAf|nH!rFIGhcPtPBmTObxUR46F<cG&+{_GB7ZxmbgZgq$HN4
iTIJ@aWTsUz7#SED>l#?-8k&ZnYKXilV>tOKM?L_vh#AcQ

diff --git a/pkgdown.yml b/pkgdown.yml
index 77a7a7b..8430cac 100644
--- a/pkgdown.yml
+++ b/pkgdown.yml
@@ -2,7 +2,7 @@ pandoc: 2.19.2
 pkgdown: 2.0.7
 pkgdown_sha: ~
 articles: {}
-last_built: 2023-08-15T02:10Z
+last_built: 2023-08-15T14:43Z
 urls:
   reference: https://alarm-redist.github.io/ggredist/reference
   article: https://alarm-redist.github.io/ggredist/articles
diff --git a/reference/scale_538-1.png b/reference/scale_538-1.png
new file mode 100644
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GIT binary patch
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diff --git a/reference/scale_538.html b/reference/scale_538.html
index f3df53b..cb983db 100644
--- a/reference/scale_538.html
+++ b/reference/scale_538.html
@@ -71,96 +71,14 @@ <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2
 
     <div class="section level2">
     <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="fu">scale_fill_538</span><span class="op">(</span><span class="op">)</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;ggproto object: Class ScaleBinned, Scale, gg&gt;</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     aesthetics: fill</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     after.stat: FALSE</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     axis_order: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     break_info: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     break_positions: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     breaks: 0 0.35 0.45 0.55 0.65 1</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     call: call</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     clone: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     dimension: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     expand: waiver</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     get_breaks: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     get_breaks_minor: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     get_labels: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     get_limits: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     guide: colourbar</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     is_discrete: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     is_empty: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     labels: waiver</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     limits: 0.25 0.75</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     make_sec_title: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     make_title: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     map: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     map_df: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     n.breaks: NULL</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     na.value: NA</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     name: waiver</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     nice.breaks: TRUE</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     oob: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     palette: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     position: left</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     range: environment</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     rescale: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     rescaler: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     reset: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     right: TRUE</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     scale_name: 538</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     show.limits: FALSE</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     train: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     train_df: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     trans: trans</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     transform: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     transform_df: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     super:  &lt;ggproto object: Class ScaleBinned, Scale, gg&gt;</span>
-<span class="r-in"><span><span class="fu">scale_color_538</span><span class="op">(</span><span class="op">)</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;ggproto object: Class ScaleBinned, Scale, gg&gt;</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     aesthetics: colour</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     after.stat: FALSE</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     axis_order: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     break_info: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     break_positions: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     breaks: 0 0.35 0.45 0.55 0.65 1</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     call: call</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     clone: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     dimension: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     expand: waiver</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     get_breaks: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     get_breaks_minor: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     get_labels: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     get_limits: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     guide: colourbar</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     is_discrete: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     is_empty: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     labels: waiver</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     limits: 0.25 0.75</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     make_sec_title: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     make_title: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     map: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     map_df: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     n.breaks: NULL</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     na.value: NA</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     name: waiver</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     nice.breaks: TRUE</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     oob: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     palette: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     position: left</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     range: environment</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     rescale: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     rescaler: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     reset: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     right: TRUE</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     scale_name: 538</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     show.limits: FALSE</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     train: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     train_df: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     trans: trans</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     transform: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     transform_df: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     super:  &lt;ggproto object: Class ScaleBinned, Scale, gg&gt;</span>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va"><a href="https://ggplot2.tidyverse.org" class="external-link">ggplot2</a></span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/utils/data.html" class="external-link">data</a></span><span class="op">(</span><span class="va">oregon</span><span class="op">)</span></span></span>
+<span class="r-in"><span></span></span>
+<span class="r-in"><span><span class="fu"><a href="https://ggplot2.tidyverse.org/reference/ggplot.html" class="external-link">ggplot</a></span><span class="op">(</span><span class="va">oregon</span>, <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/aes.html" class="external-link">aes</a></span><span class="op">(</span>fill <span class="op">=</span> <span class="va">ndv</span> <span class="op">/</span> <span class="op">(</span><span class="va">ndv</span> <span class="op">+</span> <span class="va">nrv</span><span class="op">)</span><span class="op">)</span><span class="op">)</span> <span class="op">+</span></span></span>
+<span class="r-in"><span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/ggsf.html" class="external-link">geom_sf</a></span><span class="op">(</span>size <span class="op">=</span> <span class="fl">0</span><span class="op">)</span> <span class="op">+</span></span></span>
+<span class="r-in"><span>    <span class="fu">scale_fill_538</span><span class="op">(</span>name <span class="op">=</span> <span class="st">''</span><span class="op">)</span> <span class="op">+</span></span></span>
+<span class="r-in"><span>    <span class="fu"><a href="theme_map.html">theme_map</a></span><span class="op">(</span><span class="op">)</span></span></span>
+<span class="r-plt img"><img src="scale_538-1.png" alt="" width="700" height="433"></span>
 </code></pre></div>
     </div>
   </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
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diff --git a/reference/scale_wiki.html b/reference/scale_wiki.html
index 66b2bc2..56dc76d 100644
--- a/reference/scale_wiki.html
+++ b/reference/scale_wiki.html
@@ -83,366 +83,14 @@ <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2
 
     <div class="section level2">
     <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="fu">scale_fill_wiki_rep</span><span class="op">(</span><span class="op">)</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;ggproto object: Class ScaleBinned, Scale, gg&gt;</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     aesthetics: fill</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     after.stat: FALSE</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     axis_order: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     break_info: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     break_positions: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     breaks: 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     call: call</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     clone: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     dimension: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     expand: waiver</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     get_breaks: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     get_breaks_minor: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     get_labels: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     get_limits: function</span>
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-<span class="r-out co"><span class="r-pr">#&gt;</span>     make_title: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     map: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     map_df: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     n.breaks: NULL</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     na.value: NA</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     name: waiver</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     nice.breaks: TRUE</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     oob: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     palette: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     position: left</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     range: environment</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     rescale: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     rescaler: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     reset: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     right: TRUE</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     scale_name: wiki_rep_pres</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     show.limits: FALSE</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     train: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     train_df: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     trans: trans</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     transform: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     transform_df: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     super:  &lt;ggproto object: Class ScaleBinned, Scale, gg&gt;</span>
-<span class="r-in"><span><span class="fu">scale_fill_wiki_dem_pres</span><span class="op">(</span><span class="op">)</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;ggproto object: Class ScaleBinned, Scale, gg&gt;</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     aesthetics: fill</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     after.stat: FALSE</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     axis_order: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     break_info: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     break_positions: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     breaks: 0 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     call: call</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     clone: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     dimension: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     expand: waiver</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     get_breaks: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     get_breaks_minor: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     get_labels: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     get_limits: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     guide: colourbar</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     is_discrete: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     is_empty: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     labels: waiver</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     limits: 0.2 0.9</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     make_sec_title: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     make_title: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     map: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     map_df: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     n.breaks: NULL</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     na.value: NA</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     name: waiver</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     nice.breaks: TRUE</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     oob: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     palette: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     position: left</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     range: environment</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     rescale: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     rescaler: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     reset: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     right: TRUE</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     scale_name: wiki_dem_pres</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     show.limits: FALSE</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     train: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     train_df: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     trans: trans</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     transform: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     transform_df: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     super:  &lt;ggproto object: Class ScaleBinned, Scale, gg&gt;</span>
-<span class="r-in"><span><span class="fu">scale_fill_wiki_dem_pres</span><span class="op">(</span><span class="op">)</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;ggproto object: Class ScaleBinned, Scale, gg&gt;</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     aesthetics: fill</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     after.stat: FALSE</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     axis_order: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     break_info: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     break_positions: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     breaks: 0 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     call: call</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     clone: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     dimension: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     expand: waiver</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     get_breaks: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     get_breaks_minor: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     get_labels: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     get_limits: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     guide: colourbar</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     is_discrete: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     is_empty: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     labels: waiver</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     limits: 0.2 0.9</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     make_sec_title: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     make_title: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     map: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     map_df: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     n.breaks: NULL</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     na.value: NA</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     name: waiver</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     nice.breaks: TRUE</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     oob: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     palette: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     position: left</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     range: environment</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     rescale: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     rescaler: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     reset: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     right: TRUE</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     scale_name: wiki_dem_pres</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     show.limits: FALSE</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     train: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     train_df: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     trans: trans</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     transform: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     transform_df: function</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     super:  &lt;ggproto object: Class ScaleBinned, Scale, gg&gt;</span>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va"><a href="https://ggplot2.tidyverse.org" class="external-link">ggplot2</a></span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/utils/data.html" class="external-link">data</a></span><span class="op">(</span><span class="va">oregon</span><span class="op">)</span></span></span>
+<span class="r-in"><span></span></span>
+<span class="r-in"><span><span class="fu"><a href="https://ggplot2.tidyverse.org/reference/ggplot.html" class="external-link">ggplot</a></span><span class="op">(</span><span class="va">oregon</span>, <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/aes.html" class="external-link">aes</a></span><span class="op">(</span>fill <span class="op">=</span> <span class="va">ndv</span> <span class="op">/</span> <span class="op">(</span><span class="va">ndv</span> <span class="op">+</span> <span class="va">nrv</span><span class="op">)</span><span class="op">)</span><span class="op">)</span> <span class="op">+</span></span></span>
+<span class="r-in"><span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/ggsf.html" class="external-link">geom_sf</a></span><span class="op">(</span>size <span class="op">=</span> <span class="fl">0</span><span class="op">)</span> <span class="op">+</span></span></span>
+<span class="r-in"><span>    <span class="fu">scale_fill_wiki_dem</span><span class="op">(</span>name <span class="op">=</span> <span class="st">'Dem Share'</span><span class="op">)</span> <span class="op">+</span></span></span>
+<span class="r-in"><span>    <span class="fu"><a href="theme_map.html">theme_map</a></span><span class="op">(</span><span class="op">)</span></span></span>
+<span class="r-plt img"><img src="scale_wiki-1.png" alt="" width="700" height="433"></span>
 </code></pre></div>
     </div>
   </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
diff --git a/search.json b/search.json
index 4ad71ef..804d791 100644
--- a/search.json
+++ b/search.json
@@ -1 +1 @@
-[{"path":"https://alarm-redist.github.io/ggredist/LICENSE.html","id":null,"dir":"","previous_headings":"","what":"MIT License","title":"MIT License","text":"Copyright (c) 2022 Cory McCartan Christopher T. Kenny Permission hereby granted, free charge, person obtaining copy software associated documentation files (“Software”), deal Software without restriction, including without limitation rights use, copy, modify, merge, publish, distribute, sublicense, /sell copies Software, permit persons Software furnished , subject following conditions: copyright notice permission notice shall included copies substantial portions Software. SOFTWARE PROVIDED “”, WITHOUT WARRANTY KIND, EXPRESS IMPLIED, INCLUDING LIMITED WARRANTIES MERCHANTABILITY, FITNESS PARTICULAR PURPOSE NONINFRINGEMENT. EVENT SHALL AUTHORS COPYRIGHT HOLDERS LIABLE CLAIM, DAMAGES LIABILITY, WHETHER ACTION CONTRACT, TORT OTHERWISE, ARISING , CONNECTION SOFTWARE USE DEALINGS SOFTWARE.","code":""},{"path":"https://alarm-redist.github.io/ggredist/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"Cory McCartan. Author. Christopher T. Kenny. Author, maintainer.","code":""},{"path":"https://alarm-redist.github.io/ggredist/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"McCartan C, Kenny C (2023). ggredist: Scales, Geometries, Extensions 'ggplot2' Election Mapping. https://github.com/alarm-redist/ggredist, https://alarm-redist.org/ggredist/.","code":"@Manual{,   title = {ggredist: Scales, Geometries, and Extensions of 'ggplot2' for Election Mapping},   author = {Cory McCartan and Christopher T. Kenny},   year = {2023},   note = {https://github.com/alarm-redist/ggredist, https://alarm-redist.org/ggredist/}, }"},{"path":"https://alarm-redist.github.io/ggredist/index.html","id":"ggredist-","dir":"","previous_headings":"","what":"Scales, Geometries, and Extensions of ggplot2 for Election Mapping","title":"Scales, Geometries, and Extensions of ggplot2 for Election Mapping","text":"ggredist provides ggplot2 extensions political mapmaking, including new geometries, easy label generation placement, automatic map coloring, map scales, palettes, themes. ’s example can package.  See reference.","code":"library(ggredist) library(ggplot2)  data(oregon)  ggplot(oregon, aes(group=cd_2020)) +   # 'ndv' and 'nrv' contain D and R vote counts   geom_district(aes(fill=ndv, denom=ndv+nrv), linewidth=0.9) +   geom_district_text() +   # can then highlight towns and cities   geom_places(state = 'OR') +    # we can overlay county boundaries and labels   geom_district(aes(group=county), linewidth=0.2, linetype=\"dashed\", fill=NA) +   geom_district_text(aes(group=county, label=toupper(county)),                      size=2.2, check_overlap=TRUE) +   scale_fill_party_b(limits=c(0.4, 0.6)) +   theme_map()"},{"path":"https://alarm-redist.github.io/ggredist/index.html","id":"installation","dir":"","previous_headings":"","what":"Installation","title":"Scales, Geometries, and Extensions of ggplot2 for Election Mapping","text":"can install development version ggredist GitHub :","code":"# install.packages(\"remotes\") remotes::install_github(\"alarm-redist/ggredist\")"},{"path":"https://alarm-redist.github.io/ggredist/reference/StatCityRoad.html","id":null,"dir":"Reference","previous_headings":"","what":"Annotate a Map with Roads and Cities — stat_cities","title":"Annotate a Map with Roads and Cities — stat_cities","text":"Clips interstates cities datasets bounding box map plots .","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/StatCityRoad.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Annotate a Map with Roads and Cities — stat_cities","text":"","code":"stat_cities(   mapping = NULL,   data = NULL,   geom = ggplot2::GeomSf,   position = \"identity\",   na.rm = FALSE,   adjust = 1,   min_pop = 1e+05,   show.legend = NA,   inherit.aes = TRUE,   ... )  stat_interstates(   mapping = NULL,   data = NULL,   geom = ggplot2::GeomSf,   position = \"identity\",   na.rm = FALSE,   show.legend = NA,   inherit.aes = TRUE,   ... )"},{"path":"https://alarm-redist.github.io/ggredist/reference/StatCityRoad.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Annotate a Map with Roads and Cities — stat_cities","text":"mapping Set aesthetic mappings created aes() data data displayed layer geom geometric object use display data position Position adjustment na.rm TRUE, silently remove missing values calculations adjust multiplicative scaling factor default label sizes min_pop minimum population city must 2006 shown. show.legend layer included legends? inherit.aes FALSE, overrides default aesthetics, rather combining . ... Passed onto underlying geoms.","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/StatCityRoad.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Annotate a Map with Roads and Cities — stat_cities","text":"ggproto object","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/StatCityRoad.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Annotate a Map with Roads and Cities — stat_cities","text":"","code":"library(ggplot2) data(oregon)  ggplot(oregon, aes(group=cd_2020)) +   geom_district() +   stat_interstates(size=1.4, color=\"#0044aa55\") +   stat_cities(geom=\"text\", min_pop=130e3, fontface=\"bold\", adjust=0.8) +   scale_fill_penn82() +   theme_map()"},{"path":"https://alarm-redist.github.io/ggredist/reference/StatDistrict.html","id":null,"dir":"Reference","previous_headings":"","what":"Aggregate and Plot Map Regions — geom_district","title":"Aggregate and Plot Map Regions — geom_district","text":"Aggregates shapefile according group aesthetic. just group provided, default map regions colored group adjacent regions share color (set fill force particular color, NA fill).  fill provided, values fill summed within groups defined group. denom provided, values denom summed within groups defined group, used divide summed values fill. example, fill denom can used together plot partisan demographic characteristics congressional districts (see examples).","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/StatDistrict.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Aggregate and Plot Map Regions — geom_district","text":"","code":"geom_district(   mapping = NULL,   data = NULL,   position = \"identity\",   na.rm = FALSE,   is_coverage = FALSE,   min_col = FALSE,   buffer = 0,   show.legend = NA,   inherit.aes = TRUE,   ... )  stat_district(   mapping = NULL,   data = NULL,   geom = GeomDistrict,   position = \"identity\",   na.rm = FALSE,   is_coverage = FALSE,   min_col = FALSE,   buffer = 0,   show.legend = NA,   inherit.aes = TRUE,   ... )"},{"path":"https://alarm-redist.github.io/ggredist/reference/StatDistrict.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Aggregate and Plot Map Regions — geom_district","text":"mapping Set aesthetic mappings created aes() data data displayed layer position Position adjustment na.rm TRUE, silently remove missing values calculations is_coverage sf::st_union(). May speed plotting large shapefiles geos installed shapefile projected. min_col TRUE, try minimize number colors used. May necessary short palettes. buffer Optionally buffer merged geometries. Negative values shrink geometries towards center can used \"glowing boundary\" effect (see examples). show.legend layer included legends? inherit.aes FALSE, overrides default aesthetics, rather combining . ... Passed onto underlying geoms. geom geometric object use display data","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/StatDistrict.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Aggregate and Plot Map Regions — geom_district","text":"ggproto object","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/StatDistrict.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Aggregate and Plot Map Regions — geom_district","text":"","code":"library(ggplot2) data(oregon)  ggplot(oregon, aes(group=county)) +     geom_district() +     scale_fill_penn82() +     theme_map()   ggplot(oregon, aes(group=county, fill=pop)) +     geom_district() +     theme_map()   ggplot(oregon, aes(group=cd_2020, fill=ndv, denom=ndv+nrv)) +     geom_district() +     scale_fill_party_c(limits=c(0.4, 0.6)) +     theme_map()   ggplot(oregon, aes(group=county)) +     geom_district() +     geom_district(buffer=-5000, fill=\"#ffffffcc\", color=NA) +     scale_fill_natgeo() +     theme_map()"},{"path":"https://alarm-redist.github.io/ggredist/reference/StatDistrictCoordinates.html","id":null,"dir":"Reference","previous_headings":"","what":"Label Map Regions — geom_district_text","title":"Label Map Regions — geom_district_text","text":"Aggregates shapefile according group aesthetic positions labels region defined group. default, labels sized rough proportion available area.","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/StatDistrictCoordinates.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Label Map Regions — geom_district_text","text":"","code":"geom_district_text(   mapping = NULL,   data = NULL,   position = \"identity\",   na.rm = FALSE,   adjust = 1,   check_overlap = FALSE,   parse = FALSE,   show.legend = NA,   inherit.aes = TRUE,   ... )  geom_district_label(   mapping = NULL,   data = NULL,   position = \"identity\",   na.rm = FALSE,   label.padding = ggplot2::unit(0.25, \"lines\"),   label.r = ggplot2::unit(0.15, \"lines\"),   label.size = 0.25,   check_overlap = FALSE,   parse = FALSE,   adjust = 1,   show.legend = NA,   inherit.aes = TRUE,   ... )  stat_district_coordinates(   mapping = NULL,   data = NULL,   geom = \"text\",   position = \"identity\",   na.rm = FALSE,   adjust = 1,   show.legend = NA,   inherit.aes = TRUE,   ... )"},{"path":"https://alarm-redist.github.io/ggredist/reference/StatDistrictCoordinates.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Label Map Regions — geom_district_text","text":"mapping Set aesthetic mappings created aes() data data displayed layer position Position adjustment na.rm TRUE, silently remove missing values calculations adjust multiplicative scaling factor default label sizes check_overlap TRUE, text overlaps previous text layer plotted. parse TRUE, labels parsed expressions displayed described ?plotmath. show.legend layer included legends? inherit.aes FALSE, overrides default aesthetics, rather combining . ... Passed onto underlying geoms. label.padding Padding around label label.r Radius rounded corners label.size Size label border (mm) geom geometric object use display data","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/StatDistrictCoordinates.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Label Map Regions — geom_district_text","text":"ggproto object","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/StatDistrictCoordinates.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Label Map Regions — geom_district_text","text":"","code":"library(ggplot2) data(oregon)  ggplot(oregon, aes(group=county)) +     geom_district() +     geom_district_text() +     scale_fill_randmcnally() +     theme_map()   ggplot(oregon, aes(group=cd_2020)) +   geom_district(lwd=0.9, color=\"#442222\") +   geom_district(aes(group=county), lwd=0.4, lty=\"dashed\", fill=NA) +   geom_district_text(aes(group=county, label=toupper(county)),                      size=2.2, check_overlap=TRUE) +   geom_district_text(adjust=2) +   scale_fill_penn82() +   theme_map()"},{"path":"https://alarm-redist.github.io/ggredist/reference/StatPlaces.html","id":null,"dir":"Reference","previous_headings":"","what":"Emphasize Populated Regions of a Map with greyed out Places — geom_places","title":"Emphasize Populated Regions of a Map with greyed out Places — geom_places","text":"Identifies relevant census places plots .","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/StatPlaces.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Emphasize Populated Regions of a Map with greyed out Places — geom_places","text":"","code":"geom_places(   mapping = NULL,   data = NULL,   position = \"identity\",   na.rm = FALSE,   state = NULL,   show.legend = NA,   inherit.aes = TRUE,   ... )  stat_places(   mapping = NULL,   data = NULL,   geom = ggplot2::GeomSf,   position = \"identity\",   na.rm = FALSE,   state = NULL,   show.legend = NA,   inherit.aes = TRUE,   ... )"},{"path":"https://alarm-redist.github.io/ggredist/reference/StatPlaces.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Emphasize Populated Regions of a Map with greyed out Places — geom_places","text":"mapping Set aesthetic mappings created aes() data data displayed layer position Position adjustment na.rm TRUE, silently remove missing values calculations state state use. Guesses based overlap provided. show.legend layer included legends? inherit.aes FALSE, overrides default aesthetics, rather combining . ... Passed onto underlying geoms. geom geometric object use display data","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/StatPlaces.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Emphasize Populated Regions of a Map with greyed out Places — geom_places","text":"ggproto object","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/StatPlaces.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Emphasize Populated Regions of a Map with greyed out Places — geom_places","text":"","code":"library(ggplot2) data(oregon)  ggplot(oregon, aes(group = cd_2020)) +   geom_district() +   theme_map()  ggplot(oregon, aes(group = cd_2020)) +   geom_district() +   theme_map()"},{"path":"https://alarm-redist.github.io/ggredist/reference/cities.html","id":null,"dir":"Reference","previous_headings":"","what":"U.S. Cities — cities","title":"U.S. Cities — cities","text":"data contains location, name, 2020 population U.S. cities large towns.","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/cities.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"U.S. Cities — cities","text":"","code":"data(\"cities\")"},{"path":"https://alarm-redist.github.io/ggredist/reference/cities.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"U.S. Cities — cities","text":"sf object name City name. state City state. pop_2020 City population 2020 GEOID Census GEOID corresponding Census Designated Place. geometry sf geometry column containing geographic information.","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/cities.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"U.S. Cities — cities","text":"","code":"data(cities)"},{"path":"https://alarm-redist.github.io/ggredist/reference/ggredist.html","id":null,"dir":"Reference","previous_headings":"","what":"Redistricting Color Palettes — ggredist","title":"Redistricting Color Palettes — ggredist","text":"Included palettes: partisan, perceptually uniform red-white-blue scale dra, Dave's Redistricting App classic color palette penn82, historic categorical color palette 1982 published Pennsylvania congressional district map randmcnally natgeo, colors taken Rand-McNally National Geographic political maps coast larch, inspired natural scenery wiki_dem_pres: Wikipedia Presidential Democratic palette wiki_rep_pres: Wikipedia Presidential Republican palette wiki_dem: Wikipedia downballot Democratic palette wiki_rep: Wikipedia downballot Republican palette wiki_proposal: Wikipedia proposal support palette","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/ggredist.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Redistricting Color Palettes — ggredist","text":"","code":"ggredist"},{"path":"https://alarm-redist.github.io/ggredist/reference/ggredist.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Redistricting Color Palettes — ggredist","text":"list character vectors type palette (supports plot() generic visualization)","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/ggredist.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Redistricting Color Palettes — ggredist","text":"details Wikipedia-based colors, see https://en.wikipedia.org/wiki/Wikipedia:WikiProject_Elections_and_Referendums/USA_legend_colors.","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/ggredist.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Redistricting Color Palettes — ggredist","text":"","code":"plot(ggredist$partisan)  plot(ggredist$dra)  plot(ggredist$penn82)  plot(ggredist$randmcnally)  plot(ggredist$natgeo)  plot(ggredist$coast)  plot(ggredist$larch)"},{"path":"https://alarm-redist.github.io/ggredist/reference/interstates.html","id":null,"dir":"Reference","previous_headings":"","what":"Insterstate Shapefile — interstates","title":"Insterstate Shapefile — interstates","text":"data contains geometry information U.S. Interstate Highway System. processed U.S. Census Bureau TIGER/Line Shapefile system.","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/interstates.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Insterstate Shapefile — interstates","text":"","code":"data(\"interstates\")"},{"path":"https://alarm-redist.github.io/ggredist/reference/interstates.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Insterstate Shapefile — interstates","text":"sf object name Census Bureau name interstate geometry sf geometry column containing geographic information.","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/interstates.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Insterstate Shapefile — interstates","text":"","code":"data(interstates)"},{"path":"https://alarm-redist.github.io/ggredist/reference/label_party.html","id":null,"dir":"Reference","previous_headings":"","what":"Label Partisan Vote Shares — label_party_margin","title":"Label Partisan Vote Shares — label_party_margin","text":"example, 45% Democratic vote share becomes \"R+10\" \"55% R\".","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/label_party.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Label Partisan Vote Shares — label_party_margin","text":"","code":"label_party_margin(midpoint = 0.5, reverse = FALSE, accuracy = 1)  label_party_pct(midpoint = 0.5, reverse = FALSE, accuracy = 1)"},{"path":"https://alarm-redist.github.io/ggredist/reference/label_party.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Label Partisan Vote Shares — label_party_margin","text":"midpoint Either 0.5, default, 0. label_party_margin(), zero, scale doubled (0.05 becomes \"D+5\" midpoint=0, 0.55 becomes \"D+10\" `midpoint=0.5) reverse TRUE, reverse \"D\" \"R\". accuracy scales::number_format","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/label_party.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Label Partisan Vote Shares — label_party_margin","text":"labeling function","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/label_party.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Label Partisan Vote Shares — label_party_margin","text":"","code":"labeler = label_party_margin(accuracy=0.1) labeler(c(0.3, 0.5, 0.543)) #> [1] \"R+40.0\" \"Even\"   \"D+8.6\"  labeler = label_party_margin(reverse=TRUE) labeler(c(0.3, 0.5, 0.543)) #> [1] \"D+40\" \"Even\" \"R+9\""},{"path":"https://alarm-redist.github.io/ggredist/reference/map_coloring.html","id":null,"dir":"Reference","previous_headings":"","what":"Produce a Map Coloring — map_coloring","title":"Produce a Map Coloring — map_coloring","text":"Finds colors every element shapefile adjacent elements color.","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/map_coloring.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Produce a Map Coloring — map_coloring","text":"","code":"map_coloring(shp, min_coloring = TRUE)"},{"path":"https://alarm-redist.github.io/ggredist/reference/map_coloring.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Produce a Map Coloring — map_coloring","text":"shp sf object min_coloring TRUE, try minimize number colors used","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/map_coloring.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Produce a Map Coloring — map_coloring","text":"integer vector length shp, corresponding coloring.","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/map_coloring.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Produce a Map Coloring — map_coloring","text":"","code":"data(oregon) or_short = oregon[30:50, ] map_coloring(or_short) #>  [1] 1 3 1 2 1 4 3 2 1 4 3 2 3 2 1 3 3 1 4 2 4  library(ggplot2) ggplot(or_short, aes(fill = map_coloring(or_short))) +     geom_sf() +     theme_map()"},{"path":"https://alarm-redist.github.io/ggredist/reference/oregon.html","id":null,"dir":"Reference","previous_headings":"","what":"Oregon Redistricting File — oregon","title":"Oregon Redistricting File — oregon","text":"data contains geographic, demographic, political information 1,071 census tracts state Oregon.","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/oregon.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Oregon Redistricting File — oregon","text":"","code":"data(\"oregon\")"},{"path":"https://alarm-redist.github.io/ggredist/reference/oregon.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Oregon Redistricting File — oregon","text":"sf object county county tract belongs . cd_2020 2210 congressional district assignment tract. pop total population tract, according 2020 Census. pop_white non-Hispanic white population precinct. ndv Average number votes Democratic candidates recent statewide elections. nrv Average number votes Republican candidates recent statewide elections. geometry sf geometry column containing geographic information.","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/oregon.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Oregon Redistricting File — oregon","text":"","code":"data(oregon) oregon[, 1:6] #> Simple feature collection with 1071 features and 6 fields #> Geometry type: MULTIPOLYGON #> Dimension:     XY #> Bounding box:  xmin: 2163029 ymin: -185907.3 xmax: 2814746 ymax: 293445.7 #> Projected CRS: NAD83(HARN) / Oregon North #> # A tibble: 1,071 × 7 #>    county cd_2020   pop pop_white   ndv   nrv                           geometry #>    <chr>    <int> <int>     <int> <dbl> <dbl>                 <MULTIPOLYGON [m]> #>  1 Baker        2  2844      2552  369. 1312. (((2705037 125011.4, 2710726 1212… #>  2 Baker        2  3191      2738  498. 1251. (((2711347 127396.3, 2711327 1265… #>  3 Baker        2  2745      2390  392. 1247. (((2760731 96173.67, 2759438 8633… #>  4 Baker        2  3088      2758  148.  402. (((2711327 126595.8, 2711347 1273… #>  5 Baker        2  2749      2380  464. 1127  (((2709192 128933.2, 2698934 1477… #>  6 Baker        2  2051      1846  336.  932. (((2714628 150906.5, 2731447 1515… #>  7 Benton       4  4344      3161 1436.  458  (((2279770 100406.1, 2279322 1004… #>  8 Benton       4  3409      2308 1188.  394  (((2280644 102610.9, 2280706 1026… #>  9 Benton       4  5256      4233 2049.  908  (((2274712 99335.66, 2274240 1013… #> 10 Benton       4  2968      2340 1709.  373. (((2277555 106896, 2279606 105983… #> # ℹ 1,061 more rows"},{"path":"https://alarm-redist.github.io/ggredist/reference/scale_538.html","id":null,"dir":"Reference","previous_headings":"","what":"FiveThirtyEight scales for ggplot2 — scale_fill_538","title":"FiveThirtyEight scales for ggplot2 — scale_fill_538","text":"FiveThirtyEight scales ggplot2","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/scale_538.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"FiveThirtyEight scales for ggplot2 — scale_fill_538","text":"","code":"scale_fill_538(...)  scale_color_538(...)"},{"path":"https://alarm-redist.github.io/ggredist/reference/scale_538.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"FiveThirtyEight scales for ggplot2 — scale_fill_538","text":"... additional arguments ggplot::scale_* functions","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/scale_538.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"FiveThirtyEight scales for ggplot2 — scale_fill_538","text":"ggplot scale function","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/scale_538.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"FiveThirtyEight scales for ggplot2 — scale_fill_538","text":"","code":"scale_fill_538() #> <ggproto object: Class ScaleBinned, Scale, gg> #>     aesthetics: fill #>     after.stat: FALSE #>     axis_order: function #>     break_info: function #>     break_positions: function #>     breaks: 0 0.35 0.45 0.55 0.65 1 #>     call: call #>     clone: function #>     dimension: function #>     expand: waiver #>     get_breaks: function #>     get_breaks_minor: function #>     get_labels: function #>     get_limits: function #>     guide: colourbar #>     is_discrete: function #>     is_empty: function #>     labels: waiver #>     limits: 0.25 0.75 #>     make_sec_title: function #>     make_title: function #>     map: function #>     map_df: function #>     n.breaks: NULL #>     na.value: NA #>     name: waiver #>     nice.breaks: TRUE #>     oob: function #>     palette: function #>     position: left #>     range: environment #>     rescale: function #>     rescaler: function #>     reset: function #>     right: TRUE #>     scale_name: 538 #>     show.limits: FALSE #>     train: function #>     train_df: function #>     trans: trans #>     transform: function #>     transform_df: function #>     super:  <ggproto object: Class ScaleBinned, Scale, gg> scale_color_538() #> <ggproto object: Class ScaleBinned, Scale, gg> #>     aesthetics: colour #>     after.stat: FALSE #>     axis_order: function #>     break_info: function #>     break_positions: function #>     breaks: 0 0.35 0.45 0.55 0.65 1 #>     call: call #>     clone: function #>     dimension: function #>     expand: waiver #>     get_breaks: function #>     get_breaks_minor: function #>     get_labels: function #>     get_limits: function #>     guide: colourbar #>     is_discrete: function #>     is_empty: function #>     labels: waiver #>     limits: 0.25 0.75 #>     make_sec_title: function #>     make_title: function #>     map: function #>     map_df: function #>     n.breaks: NULL #>     na.value: NA #>     name: waiver #>     nice.breaks: TRUE #>     oob: function #>     palette: function #>     position: left #>     range: environment #>     rescale: function #>     rescaler: function #>     reset: function #>     right: TRUE #>     scale_name: 538 #>     show.limits: FALSE #>     train: function #>     train_df: function #>     trans: trans #>     transform: function #>     transform_df: function #>     super:  <ggproto object: Class ScaleBinned, Scale, gg>"},{"path":"https://alarm-redist.github.io/ggredist/reference/scale_dra.html","id":null,"dir":"Reference","previous_headings":"","what":"Dave's Redistricting App classic scale for ggplot2 — scale_fill_dra","title":"Dave's Redistricting App classic scale for ggplot2 — scale_fill_dra","text":"Dave's Redistricting App classic scale ggplot2","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/scale_dra.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Dave's Redistricting App classic scale for ggplot2 — scale_fill_dra","text":"","code":"scale_fill_dra(...)  scale_color_dra(...)  scale_colour_dra(...)"},{"path":"https://alarm-redist.github.io/ggredist/reference/scale_dra.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Dave's Redistricting App classic scale for ggplot2 — scale_fill_dra","text":"... Arguments passed ggplot2::discrete_scale()","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/scale_dra.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Dave's Redistricting App classic scale for ggplot2 — scale_fill_dra","text":"ggplot scale function","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/scale_dra.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Dave's Redistricting App classic scale for ggplot2 — scale_fill_dra","text":"","code":"library(ggplot2) data(oregon)  ggplot(oregon, aes(group = county, fill=county)) +     geom_district() +     scale_fill_dra() +     theme_map()"},{"path":"https://alarm-redist.github.io/ggredist/reference/scale_nature.html","id":null,"dir":"Reference","previous_headings":"","what":"Nature-derived Color Scales for ggplot2 — scale_fill_coast","title":"Nature-derived Color Scales for ggplot2 — scale_fill_coast","text":"Nature-derived Color Scales ggplot2","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/scale_nature.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Nature-derived Color Scales for ggplot2 — scale_fill_coast","text":"","code":"scale_fill_coast(...)  scale_color_coast(...)  scale_colour_coast(...)  scale_fill_larch(...)  scale_color_larch(...)  scale_colour_larch(...)"},{"path":"https://alarm-redist.github.io/ggredist/reference/scale_nature.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Nature-derived Color Scales for ggplot2 — scale_fill_coast","text":"... Arguments passed ggplot2::discrete_scale()","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/scale_nature.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Nature-derived Color Scales for ggplot2 — scale_fill_coast","text":"ggplot scale function","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/scale_nature.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Nature-derived Color Scales for ggplot2 — scale_fill_coast","text":"","code":"library(ggplot2) data(oregon)  ggplot(oregon, aes(group = county)) +     geom_district() +     scale_fill_coast() +     theme_map()   ggplot(oregon, aes(group = county)) +     geom_district() +     scale_fill_larch() +     theme_map()"},{"path":"https://alarm-redist.github.io/ggredist/reference/scale_party.html","id":null,"dir":"Reference","previous_headings":"","what":"Partisan scales for ggplot2 — scale_party","title":"Partisan scales for ggplot2 — scale_party","text":"Partisan scales ggplot2","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/scale_party.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Partisan scales for ggplot2 — scale_party","text":"","code":"scale_fill_party_c(   name = \"Vote share\",   midpoint = 0.5,   limits = 0:1,   labels = label_party_pct(),   oob = scales::squish,   reverse = FALSE,   ... )  scale_color_party_c(   name = \"Vote share\",   midpoint = 0.5,   limits = 0:1,   labels = label_party_pct(),   oob = scales::squish,   reverse = FALSE,   ... )  scale_fill_party_d(labels = c(\"Rep.\", \"Dem.\"), reverse = FALSE, ...)  scale_color_party_d(labels = c(\"Rep.\", \"Dem.\"), reverse = FALSE, ...)  scale_fill_party_b(   name = \"Vote share\",   midpoint = 0.5,   limits = 0:1,   labels = label_party_pct(),   oob = scales::squish,   reverse = FALSE,   nice.breaks = FALSE,   ... )  scale_color_party_b(   name = \"Vote share\",   midpoint = 0.5,   limits = 0:1,   labels = label_party_pct(),   oob = scales::squish,   reverse = FALSE,   nice.breaks = FALSE,   ... )  scale_colour_party_d(labels = c(\"Rep.\", \"Dem.\"), reverse = FALSE, ...)  scale_colour_party_c(   name = \"Vote share\",   midpoint = 0.5,   limits = 0:1,   labels = label_party_pct(),   oob = scales::squish,   reverse = FALSE,   ... )  scale_colour_party_b(   name = \"Vote share\",   midpoint = 0.5,   limits = 0:1,   labels = label_party_pct(),   oob = scales::squish,   reverse = FALSE,   nice.breaks = FALSE,   ... )"},{"path":"https://alarm-redist.github.io/ggredist/reference/scale_party.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Partisan scales for ggplot2 — scale_party","text":"name Name scale. Default \"Vote share\". midpoint Scale midpoint value. Default 0.5. limits Lower upper limits scale. Default 0:1. labels Function adjust scale labels. Default scales::percent. oob Function deal bounds. Default scales::squish(). reverse Whether reverse red blue. ... Additional arguments ggplot::scale_* functions nice.breaks TRUE, attempt place breaks nice values instead exactly evenly spaced limits.","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/scale_party.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Partisan scales for ggplot2 — scale_party","text":"ggplot scale function","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/scale_party.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Partisan scales for ggplot2 — scale_party","text":"","code":"library(ggplot2) data(oregon)  ggplot(oregon, aes(fill = ndv / (ndv + nrv))) +     geom_sf(size = 0) +     scale_fill_party_c(limits=c(0.3, 0.7)) +     theme_map()   ggplot(oregon, aes(fill = ndv / (ndv + nrv))) +     geom_sf(size = 0) +     scale_fill_party_b() +     theme_map()"},{"path":"https://alarm-redist.github.io/ggredist/reference/scale_penn82.html","id":null,"dir":"Reference","previous_headings":"","what":"Historical Pennsylvania Color Scale for ggplot2 — scale_fill_penn82","title":"Historical Pennsylvania Color Scale for ggplot2 — scale_fill_penn82","text":"Historical Pennsylvania Color Scale ggplot2","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/scale_penn82.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Historical Pennsylvania Color Scale for ggplot2 — scale_fill_penn82","text":"","code":"scale_fill_penn82(...)  scale_color_penn82(...)  scale_colour_penn82(...)"},{"path":"https://alarm-redist.github.io/ggredist/reference/scale_penn82.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Historical Pennsylvania Color Scale for ggplot2 — scale_fill_penn82","text":"... Arguments passed ggplot2::discrete_scale()","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/scale_penn82.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Historical Pennsylvania Color Scale for ggplot2 — scale_fill_penn82","text":"ggplot scale function","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/scale_penn82.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Historical Pennsylvania Color Scale for ggplot2 — scale_fill_penn82","text":"","code":"library(ggplot2) data(oregon)  ggplot(oregon, aes(group = county)) +     geom_district() +     scale_fill_penn82() +     theme_map()"},{"path":"https://alarm-redist.github.io/ggredist/reference/scale_polimap.html","id":null,"dir":"Reference","previous_headings":"","what":"Rand-McNally and National Geographic Color Scales for ggplot2 — scale_fill_randmcnally","title":"Rand-McNally and National Geographic Color Scales for ggplot2 — scale_fill_randmcnally","text":"Rand-McNally National Geographic Color Scales ggplot2","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/scale_polimap.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Rand-McNally and National Geographic Color Scales for ggplot2 — scale_fill_randmcnally","text":"","code":"scale_fill_randmcnally(...)  scale_color_randmcnally(...)  scale_colour_randmcnally(...)  scale_fill_natgeo(...)  scale_color_natgeo(...)  scale_colour_natgeo(...)"},{"path":"https://alarm-redist.github.io/ggredist/reference/scale_polimap.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Rand-McNally and National Geographic Color Scales for ggplot2 — scale_fill_randmcnally","text":"... Arguments passed ggplot2::discrete_scale()","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/scale_polimap.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Rand-McNally and National Geographic Color Scales for ggplot2 — scale_fill_randmcnally","text":"ggplot scale function","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/scale_polimap.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Rand-McNally and National Geographic Color Scales for ggplot2 — scale_fill_randmcnally","text":"","code":"library(ggplot2) data(oregon)  ggplot(oregon, aes(group = county)) +     geom_district() +     scale_fill_randmcnally() +     theme_map()   ggplot(oregon, aes(group = county)) +     geom_district() +     scale_fill_natgeo() +     theme_map()"},{"path":"https://alarm-redist.github.io/ggredist/reference/scale_wiki.html","id":null,"dir":"Reference","previous_headings":"","what":"Wikipedia Style Election Map scales for ggplot2 — scale_fill_wiki_rep","title":"Wikipedia Style Election Map scales for ggplot2 — scale_fill_wiki_rep","text":"Wikipedia Style Election Map scales ggplot2","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/scale_wiki.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Wikipedia Style Election Map scales for ggplot2 — scale_fill_wiki_rep","text":"","code":"scale_fill_wiki_rep(...)  scale_color_wiki_rep(...)  scale_fill_wiki_dem(...)  scale_color_wiki_dem(...)  scale_fill_wiki_rep_pres(...)  scale_color_wiki_rep_pres(...)  scale_fill_wiki_dem_pres(...)  scale_color_wiki_dem_pres(...)"},{"path":"https://alarm-redist.github.io/ggredist/reference/scale_wiki.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Wikipedia Style Election Map scales for ggplot2 — scale_fill_wiki_rep","text":"... additional arguments ggplot::scale_* functions","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/scale_wiki.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Wikipedia Style Election Map scales for ggplot2 — scale_fill_wiki_rep","text":"ggplot scale function","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/scale_wiki.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Wikipedia Style Election Map scales for ggplot2 — scale_fill_wiki_rep","text":"","code":"scale_fill_wiki_rep() #> <ggproto object: Class ScaleBinned, Scale, gg> #>     aesthetics: fill #>     after.stat: FALSE #>     axis_order: function #>     break_info: function #>     break_positions: function #>     breaks: 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 #>     call: call #>     clone: function #>     dimension: function #>     expand: waiver #>     get_breaks: function #>     get_breaks_minor: function #>     get_labels: function #>     get_limits: function #>     guide: colourbar #>     is_discrete: function #>     is_empty: function #>     labels: waiver #>     limits: 0.1 0.9 #>     make_sec_title: function #>     make_title: function #>     map: function #>     map_df: function #>     n.breaks: NULL #>     na.value: NA #>     name: waiver #>     nice.breaks: TRUE #>     oob: function #>     palette: function #>     position: left #>     range: environment #>     rescale: function #>     rescaler: function #>     reset: function #>     right: TRUE #>     scale_name: wiki_rep #>     show.limits: FALSE #>     train: function #>     train_df: function #>     trans: trans #>     transform: function #>     transform_df: function #>     super:  <ggproto object: Class ScaleBinned, Scale, gg> scale_fill_wiki_rep() #> <ggproto object: Class ScaleBinned, Scale, gg> #>     aesthetics: fill #>     after.stat: FALSE #>     axis_order: function #>     break_info: function #>     break_positions: function #>     breaks: 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 #>     call: call #>     clone: function #>     dimension: function #>     expand: waiver #>     get_breaks: function #>     get_breaks_minor: function #>     get_labels: function #>     get_limits: function #>     guide: colourbar #>     is_discrete: function #>     is_empty: function #>     labels: waiver #>     limits: 0.1 0.9 #>     make_sec_title: function #>     make_title: function #>     map: function #>     map_df: function #>     n.breaks: NULL #>     na.value: NA #>     name: waiver #>     nice.breaks: TRUE #>     oob: function #>     palette: function #>     position: left #>     range: environment #>     rescale: function #>     rescaler: function #>     reset: function #>     right: TRUE #>     scale_name: wiki_rep #>     show.limits: FALSE #>     train: function #>     train_df: function #>     trans: trans #>     transform: function #>     transform_df: function #>     super:  <ggproto object: Class ScaleBinned, Scale, gg> scale_fill_wiki_dem() #> <ggproto object: Class ScaleBinned, Scale, gg> #>     aesthetics: fill #>     after.stat: FALSE #>     axis_order: function #>     break_info: function #>     break_positions: function #>     breaks: 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 #>     call: call #>     clone: function #>     dimension: function #>     expand: waiver #>     get_breaks: function #>     get_breaks_minor: function #>     get_labels: function #>     get_limits: function #>     guide: colourbar #>     is_discrete: function #>     is_empty: function #>     labels: waiver #>     limits: 0.1 0.9 #>     make_sec_title: function #>     make_title: function #>     map: function #>     map_df: function #>     n.breaks: NULL #>     na.value: NA #>     name: waiver #>     nice.breaks: TRUE #>     oob: function #>     palette: function #>     position: left #>     range: environment #>     rescale: function #>     rescaler: function #>     reset: function #>     right: TRUE #>     scale_name: wiki_dem #>     show.limits: FALSE #>     train: function #>     train_df: function #>     trans: trans #>     transform: function #>     transform_df: function #>     super:  <ggproto object: Class ScaleBinned, Scale, gg> scale_fill_wiki_dem() #> <ggproto object: Class ScaleBinned, Scale, gg> #>     aesthetics: fill #>     after.stat: FALSE #>     axis_order: function #>     break_info: function #>     break_positions: function #>     breaks: 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 #>     call: call #>     clone: function #>     dimension: function #>     expand: waiver #>     get_breaks: function #>     get_breaks_minor: function #>     get_labels: function #>     get_limits: function #>     guide: colourbar #>     is_discrete: function #>     is_empty: function #>     labels: waiver #>     limits: 0.1 0.9 #>     make_sec_title: function #>     make_title: function #>     map: function #>     map_df: function #>     n.breaks: NULL #>     na.value: NA #>     name: waiver #>     nice.breaks: TRUE #>     oob: function #>     palette: function #>     position: left #>     range: environment #>     rescale: function #>     rescaler: function #>     reset: function #>     right: TRUE #>     scale_name: wiki_dem #>     show.limits: FALSE #>     train: function #>     train_df: function #>     trans: trans #>     transform: function #>     transform_df: function #>     super:  <ggproto object: Class ScaleBinned, Scale, gg> scale_fill_wiki_rep_pres() #> <ggproto object: Class ScaleBinned, Scale, gg> #>     aesthetics: fill #>     after.stat: FALSE #>     axis_order: function #>     break_info: function #>     break_positions: function #>     breaks: 0 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 #>     call: call #>     clone: function #>     dimension: function #>     expand: waiver #>     get_breaks: function #>     get_breaks_minor: function #>     get_labels: function #>     get_limits: function #>     guide: colourbar #>     is_discrete: function #>     is_empty: function #>     labels: waiver #>     limits: 0.2 0.9 #>     make_sec_title: function #>     make_title: function #>     map: function #>     map_df: function #>     n.breaks: NULL #>     na.value: NA #>     name: waiver #>     nice.breaks: TRUE #>     oob: function #>     palette: function #>     position: left #>     range: environment #>     rescale: function #>     rescaler: function #>     reset: function #>     right: TRUE #>     scale_name: wiki_rep_pres #>     show.limits: FALSE #>     train: function #>     train_df: function #>     trans: trans #>     transform: function #>     transform_df: function #>     super:  <ggproto object: Class ScaleBinned, Scale, gg> scale_fill_wiki_rep_pres() #> <ggproto object: Class ScaleBinned, Scale, gg> #>     aesthetics: fill #>     after.stat: FALSE #>     axis_order: function #>     break_info: function #>     break_positions: function #>     breaks: 0 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 #>     call: call #>     clone: function #>     dimension: function #>     expand: waiver #>     get_breaks: function #>     get_breaks_minor: function #>     get_labels: function #>     get_limits: function #>     guide: colourbar #>     is_discrete: function #>     is_empty: function #>     labels: waiver #>     limits: 0.2 0.9 #>     make_sec_title: function #>     make_title: function #>     map: function #>     map_df: function #>     n.breaks: NULL #>     na.value: NA #>     name: waiver #>     nice.breaks: TRUE #>     oob: function #>     palette: function #>     position: left #>     range: environment #>     rescale: function #>     rescaler: function #>     reset: function #>     right: TRUE #>     scale_name: wiki_rep_pres #>     show.limits: FALSE #>     train: function #>     train_df: function #>     trans: trans #>     transform: function #>     transform_df: function #>     super:  <ggproto object: Class ScaleBinned, Scale, gg> scale_fill_wiki_dem_pres() #> <ggproto object: Class ScaleBinned, Scale, gg> #>     aesthetics: fill #>     after.stat: FALSE #>     axis_order: function #>     break_info: function #>     break_positions: function #>     breaks: 0 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 #>     call: call #>     clone: function #>     dimension: function #>     expand: waiver #>     get_breaks: function #>     get_breaks_minor: function #>     get_labels: function #>     get_limits: function #>     guide: colourbar #>     is_discrete: function #>     is_empty: function #>     labels: waiver #>     limits: 0.2 0.9 #>     make_sec_title: function #>     make_title: function #>     map: function #>     map_df: function #>     n.breaks: NULL #>     na.value: NA #>     name: waiver #>     nice.breaks: TRUE #>     oob: function #>     palette: function #>     position: left #>     range: environment #>     rescale: function #>     rescaler: function #>     reset: function #>     right: TRUE #>     scale_name: wiki_dem_pres #>     show.limits: FALSE #>     train: function #>     train_df: function #>     trans: trans #>     transform: function #>     transform_df: function #>     super:  <ggproto object: Class ScaleBinned, Scale, gg> scale_fill_wiki_dem_pres() #> <ggproto object: Class ScaleBinned, Scale, gg> #>     aesthetics: fill #>     after.stat: FALSE #>     axis_order: function #>     break_info: function #>     break_positions: function #>     breaks: 0 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 #>     call: call #>     clone: function #>     dimension: function #>     expand: waiver #>     get_breaks: function #>     get_breaks_minor: function #>     get_labels: function #>     get_limits: function #>     guide: colourbar #>     is_discrete: function #>     is_empty: function #>     labels: waiver #>     limits: 0.2 0.9 #>     make_sec_title: function #>     make_title: function #>     map: function #>     map_df: function #>     n.breaks: NULL #>     na.value: NA #>     name: waiver #>     nice.breaks: TRUE #>     oob: function #>     palette: function #>     position: left #>     range: environment #>     rescale: function #>     rescaler: function #>     reset: function #>     right: TRUE #>     scale_name: wiki_dem_pres #>     show.limits: FALSE #>     train: function #>     train_df: function #>     trans: trans #>     transform: function #>     transform_df: function #>     super:  <ggproto object: Class ScaleBinned, Scale, gg>"},{"path":"https://alarm-redist.github.io/ggredist/reference/theme_map.html","id":null,"dir":"Reference","previous_headings":"","what":"Map Theme — theme_map","title":"Map Theme — theme_map","text":"Theme maps uses 'Times' family transparent background.","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/theme_map.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Map Theme — theme_map","text":"","code":"theme_map(...)"},{"path":"https://alarm-redist.github.io/ggredist/reference/theme_map.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Map Theme — theme_map","text":"... additional parameters","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/theme_map.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Map Theme — theme_map","text":"ggplot2 theme","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/theme_map.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Map Theme — theme_map","text":"","code":"library(ggplot2) data(oregon)  ggplot(oregon, aes(group = county)) +     geom_district() +     scale_fill_penn82() +     theme_map()"},{"path":"https://alarm-redist.github.io/ggredist/news/index.html","id":"ggredist-002","dir":"Changelog","previous_headings":"","what":"ggredist 0.0.2","title":"ggredist 0.0.2","text":"CRAN release: 2022-11-23 Adds colors scales match Wikipedia’s typical election mapping colors.","code":""},{"path":"https://alarm-redist.github.io/ggredist/news/index.html","id":"ggredist-001","dir":"Changelog","previous_headings":"","what":"ggredist 0.0.1","title":"ggredist 0.0.1","text":"Added NEWS.md file track changes package. Adds new geom: geom_district(), geom_district_label(), geom_district_text(), geom_places() Adds scales discrete continuous partisan maps Adds theme_map()","code":""}]
+[{"path":"https://alarm-redist.github.io/ggredist/LICENSE.html","id":null,"dir":"","previous_headings":"","what":"MIT License","title":"MIT License","text":"Copyright (c) 2022 Cory McCartan Christopher T. Kenny Permission hereby granted, free charge, person obtaining copy software associated documentation files (“Software”), deal Software without restriction, including without limitation rights use, copy, modify, merge, publish, distribute, sublicense, /sell copies Software, permit persons Software furnished , subject following conditions: copyright notice permission notice shall included copies substantial portions Software. SOFTWARE PROVIDED “”, WITHOUT WARRANTY KIND, EXPRESS IMPLIED, INCLUDING LIMITED WARRANTIES MERCHANTABILITY, FITNESS PARTICULAR PURPOSE NONINFRINGEMENT. EVENT SHALL AUTHORS COPYRIGHT HOLDERS LIABLE CLAIM, DAMAGES LIABILITY, WHETHER ACTION CONTRACT, TORT OTHERWISE, ARISING , CONNECTION SOFTWARE USE DEALINGS SOFTWARE.","code":""},{"path":"https://alarm-redist.github.io/ggredist/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"Cory McCartan. Author. Christopher T. Kenny. Author, maintainer.","code":""},{"path":"https://alarm-redist.github.io/ggredist/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"McCartan C, Kenny C (2023). ggredist: Scales, Geometries, Extensions 'ggplot2' Election Mapping. https://github.com/alarm-redist/ggredist, https://alarm-redist.org/ggredist/.","code":"@Manual{,   title = {ggredist: Scales, Geometries, and Extensions of 'ggplot2' for Election Mapping},   author = {Cory McCartan and Christopher T. Kenny},   year = {2023},   note = {https://github.com/alarm-redist/ggredist, https://alarm-redist.org/ggredist/}, }"},{"path":"https://alarm-redist.github.io/ggredist/index.html","id":"ggredist-","dir":"","previous_headings":"","what":"Scales, Geometries, and Extensions of ggplot2 for Election Mapping","title":"Scales, Geometries, and Extensions of ggplot2 for Election Mapping","text":"ggredist provides ggplot2 extensions political mapmaking, including new geometries, easy label generation placement, automatic map coloring, map scales, palettes, themes. ’s example can package.  See reference.","code":"library(ggredist) library(ggplot2)  data(oregon)  ggplot(oregon, aes(group=cd_2020)) +   # 'ndv' and 'nrv' contain D and R vote counts   geom_district(aes(fill=ndv, denom=ndv+nrv), linewidth=0.9) +   geom_district_text() +   # can then highlight towns and cities   geom_places(state = 'OR') +    # we can overlay county boundaries and labels   geom_district(aes(group=county), linewidth=0.2, linetype=\"dashed\", fill=NA) +   geom_district_text(aes(group=county, label=toupper(county)),                      size=2.2, check_overlap=TRUE) +   scale_fill_party_b(limits=c(0.4, 0.6)) +   theme_map()"},{"path":"https://alarm-redist.github.io/ggredist/index.html","id":"installation","dir":"","previous_headings":"","what":"Installation","title":"Scales, Geometries, and Extensions of ggplot2 for Election Mapping","text":"can install development version ggredist GitHub :","code":"# install.packages(\"remotes\") remotes::install_github(\"alarm-redist/ggredist\")"},{"path":"https://alarm-redist.github.io/ggredist/reference/StatCityRoad.html","id":null,"dir":"Reference","previous_headings":"","what":"Annotate a Map with Roads and Cities — stat_cities","title":"Annotate a Map with Roads and Cities — stat_cities","text":"Clips interstates cities datasets bounding box map plots .","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/StatCityRoad.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Annotate a Map with Roads and Cities — stat_cities","text":"","code":"stat_cities(   mapping = NULL,   data = NULL,   geom = ggplot2::GeomSf,   position = \"identity\",   na.rm = FALSE,   adjust = 1,   min_pop = 1e+05,   show.legend = NA,   inherit.aes = TRUE,   ... )  stat_interstates(   mapping = NULL,   data = NULL,   geom = ggplot2::GeomSf,   position = \"identity\",   na.rm = FALSE,   show.legend = NA,   inherit.aes = TRUE,   ... )"},{"path":"https://alarm-redist.github.io/ggredist/reference/StatCityRoad.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Annotate a Map with Roads and Cities — stat_cities","text":"mapping Set aesthetic mappings created aes() data data displayed layer geom geometric object use display data position Position adjustment na.rm TRUE, silently remove missing values calculations adjust multiplicative scaling factor default label sizes min_pop minimum population city must 2006 shown. show.legend layer included legends? inherit.aes FALSE, overrides default aesthetics, rather combining . ... Passed onto underlying geoms.","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/StatCityRoad.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Annotate a Map with Roads and Cities — stat_cities","text":"ggproto object","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/StatCityRoad.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Annotate a Map with Roads and Cities — stat_cities","text":"","code":"library(ggplot2) data(oregon)  ggplot(oregon, aes(group=cd_2020)) +   geom_district() +   stat_interstates(size=1.4, color=\"#0044aa55\") +   stat_cities(geom=\"text\", min_pop=130e3, fontface=\"bold\", adjust=0.8) +   scale_fill_penn82() +   theme_map()"},{"path":"https://alarm-redist.github.io/ggredist/reference/StatDistrict.html","id":null,"dir":"Reference","previous_headings":"","what":"Aggregate and Plot Map Regions — geom_district","title":"Aggregate and Plot Map Regions — geom_district","text":"Aggregates shapefile according group aesthetic. just group provided, default map regions colored group adjacent regions share color (set fill force particular color, NA fill).  fill provided, values fill summed within groups defined group. denom provided, values denom summed within groups defined group, used divide summed values fill. example, fill denom can used together plot partisan demographic characteristics congressional districts (see examples).","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/StatDistrict.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Aggregate and Plot Map Regions — geom_district","text":"","code":"geom_district(   mapping = NULL,   data = NULL,   position = \"identity\",   na.rm = FALSE,   is_coverage = FALSE,   min_col = FALSE,   buffer = 0,   show.legend = NA,   inherit.aes = TRUE,   ... )  stat_district(   mapping = NULL,   data = NULL,   geom = GeomDistrict,   position = \"identity\",   na.rm = FALSE,   is_coverage = FALSE,   min_col = FALSE,   buffer = 0,   show.legend = NA,   inherit.aes = TRUE,   ... )"},{"path":"https://alarm-redist.github.io/ggredist/reference/StatDistrict.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Aggregate and Plot Map Regions — geom_district","text":"mapping Set aesthetic mappings created aes() data data displayed layer position Position adjustment na.rm TRUE, silently remove missing values calculations is_coverage sf::st_union(). May speed plotting large shapefiles geos installed shapefile projected. min_col TRUE, try minimize number colors used. May necessary short palettes. buffer Optionally buffer merged geometries. Negative values shrink geometries towards center can used \"glowing boundary\" effect (see examples). show.legend layer included legends? inherit.aes FALSE, overrides default aesthetics, rather combining . ... Passed onto underlying geoms. geom geometric object use display data","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/StatDistrict.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Aggregate and Plot Map Regions — geom_district","text":"ggproto object","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/StatDistrict.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Aggregate and Plot Map Regions — geom_district","text":"","code":"library(ggplot2) data(oregon)  ggplot(oregon, aes(group=county)) +     geom_district() +     scale_fill_penn82() +     theme_map()   ggplot(oregon, aes(group=county, fill=pop)) +     geom_district() +     theme_map()   ggplot(oregon, aes(group=cd_2020, fill=ndv, denom=ndv+nrv)) +     geom_district() +     scale_fill_party_c(limits=c(0.4, 0.6)) +     theme_map()   ggplot(oregon, aes(group=county)) +     geom_district() +     geom_district(buffer=-5000, fill=\"#ffffffcc\", color=NA) +     scale_fill_natgeo() +     theme_map()"},{"path":"https://alarm-redist.github.io/ggredist/reference/StatDistrictCoordinates.html","id":null,"dir":"Reference","previous_headings":"","what":"Label Map Regions — geom_district_text","title":"Label Map Regions — geom_district_text","text":"Aggregates shapefile according group aesthetic positions labels region defined group. default, labels sized rough proportion available area.","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/StatDistrictCoordinates.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Label Map Regions — geom_district_text","text":"","code":"geom_district_text(   mapping = NULL,   data = NULL,   position = \"identity\",   na.rm = FALSE,   adjust = 1,   check_overlap = FALSE,   parse = FALSE,   show.legend = NA,   inherit.aes = TRUE,   ... )  geom_district_label(   mapping = NULL,   data = NULL,   position = \"identity\",   na.rm = FALSE,   label.padding = ggplot2::unit(0.25, \"lines\"),   label.r = ggplot2::unit(0.15, \"lines\"),   label.size = 0.25,   check_overlap = FALSE,   parse = FALSE,   adjust = 1,   show.legend = NA,   inherit.aes = TRUE,   ... )  stat_district_coordinates(   mapping = NULL,   data = NULL,   geom = \"text\",   position = \"identity\",   na.rm = FALSE,   adjust = 1,   show.legend = NA,   inherit.aes = TRUE,   ... )"},{"path":"https://alarm-redist.github.io/ggredist/reference/StatDistrictCoordinates.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Label Map Regions — geom_district_text","text":"mapping Set aesthetic mappings created aes() data data displayed layer position Position adjustment na.rm TRUE, silently remove missing values calculations adjust multiplicative scaling factor default label sizes check_overlap TRUE, text overlaps previous text layer plotted. parse TRUE, labels parsed expressions displayed described ?plotmath. show.legend layer included legends? inherit.aes FALSE, overrides default aesthetics, rather combining . ... Passed onto underlying geoms. label.padding Padding around label label.r Radius rounded corners label.size Size label border (mm) geom geometric object use display data","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/StatDistrictCoordinates.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Label Map Regions — geom_district_text","text":"ggproto object","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/StatDistrictCoordinates.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Label Map Regions — geom_district_text","text":"","code":"library(ggplot2) data(oregon)  ggplot(oregon, aes(group=county)) +     geom_district() +     geom_district_text() +     scale_fill_randmcnally() +     theme_map()   ggplot(oregon, aes(group=cd_2020)) +   geom_district(lwd=0.9, color=\"#442222\") +   geom_district(aes(group=county), lwd=0.4, lty=\"dashed\", fill=NA) +   geom_district_text(aes(group=county, label=toupper(county)),                      size=2.2, check_overlap=TRUE) +   geom_district_text(adjust=2) +   scale_fill_penn82() +   theme_map()"},{"path":"https://alarm-redist.github.io/ggredist/reference/StatPlaces.html","id":null,"dir":"Reference","previous_headings":"","what":"Emphasize Populated Regions of a Map with greyed out Places — geom_places","title":"Emphasize Populated Regions of a Map with greyed out Places — geom_places","text":"Identifies relevant census places plots .","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/StatPlaces.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Emphasize Populated Regions of a Map with greyed out Places — geom_places","text":"","code":"geom_places(   mapping = NULL,   data = NULL,   position = \"identity\",   na.rm = FALSE,   state = NULL,   show.legend = NA,   inherit.aes = TRUE,   ... )  stat_places(   mapping = NULL,   data = NULL,   geom = ggplot2::GeomSf,   position = \"identity\",   na.rm = FALSE,   state = NULL,   show.legend = NA,   inherit.aes = TRUE,   ... )"},{"path":"https://alarm-redist.github.io/ggredist/reference/StatPlaces.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Emphasize Populated Regions of a Map with greyed out Places — geom_places","text":"mapping Set aesthetic mappings created aes() data data displayed layer position Position adjustment na.rm TRUE, silently remove missing values calculations state state use. Guesses based overlap provided. show.legend layer included legends? inherit.aes FALSE, overrides default aesthetics, rather combining . ... Passed onto underlying geoms. geom geometric object use display data","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/StatPlaces.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Emphasize Populated Regions of a Map with greyed out Places — geom_places","text":"ggproto object","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/StatPlaces.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Emphasize Populated Regions of a Map with greyed out Places — geom_places","text":"","code":"library(ggplot2) data(oregon)  ggplot(oregon, aes(group = cd_2020)) +   geom_district() +   theme_map()  ggplot(oregon, aes(group = cd_2020)) +   geom_district() +   theme_map()"},{"path":"https://alarm-redist.github.io/ggredist/reference/cities.html","id":null,"dir":"Reference","previous_headings":"","what":"U.S. Cities — cities","title":"U.S. Cities — cities","text":"data contains location, name, 2020 population U.S. cities large towns.","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/cities.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"U.S. Cities — cities","text":"","code":"data(\"cities\")"},{"path":"https://alarm-redist.github.io/ggredist/reference/cities.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"U.S. Cities — cities","text":"sf object name City name. state City state. pop_2020 City population 2020 GEOID Census GEOID corresponding Census Designated Place. geometry sf geometry column containing geographic information.","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/cities.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"U.S. Cities — cities","text":"","code":"data(cities)"},{"path":"https://alarm-redist.github.io/ggredist/reference/ggredist.html","id":null,"dir":"Reference","previous_headings":"","what":"Redistricting Color Palettes — ggredist","title":"Redistricting Color Palettes — ggredist","text":"Included palettes: partisan, perceptually uniform red-white-blue scale dra, Dave's Redistricting App classic color palette penn82, historic categorical color palette 1982 published Pennsylvania congressional district map randmcnally natgeo, colors taken Rand-McNally National Geographic political maps coast larch, inspired natural scenery wiki_dem_pres: Wikipedia Presidential Democratic palette wiki_rep_pres: Wikipedia Presidential Republican palette wiki_dem: Wikipedia downballot Democratic palette wiki_rep: Wikipedia downballot Republican palette wiki_proposal: Wikipedia proposal support palette","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/ggredist.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Redistricting Color Palettes — ggredist","text":"","code":"ggredist"},{"path":"https://alarm-redist.github.io/ggredist/reference/ggredist.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Redistricting Color Palettes — ggredist","text":"list character vectors type palette (supports plot() generic visualization)","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/ggredist.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Redistricting Color Palettes — ggredist","text":"details Wikipedia-based colors, see https://en.wikipedia.org/wiki/Wikipedia:WikiProject_Elections_and_Referendums/USA_legend_colors.","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/ggredist.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Redistricting Color Palettes — ggredist","text":"","code":"plot(ggredist$partisan)  plot(ggredist$dra)  plot(ggredist$penn82)  plot(ggredist$randmcnally)  plot(ggredist$natgeo)  plot(ggredist$coast)  plot(ggredist$larch)"},{"path":"https://alarm-redist.github.io/ggredist/reference/interstates.html","id":null,"dir":"Reference","previous_headings":"","what":"Insterstate Shapefile — interstates","title":"Insterstate Shapefile — interstates","text":"data contains geometry information U.S. Interstate Highway System. processed U.S. Census Bureau TIGER/Line Shapefile system.","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/interstates.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Insterstate Shapefile — interstates","text":"","code":"data(\"interstates\")"},{"path":"https://alarm-redist.github.io/ggredist/reference/interstates.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Insterstate Shapefile — interstates","text":"sf object name Census Bureau name interstate geometry sf geometry column containing geographic information.","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/interstates.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Insterstate Shapefile — interstates","text":"","code":"data(interstates)"},{"path":"https://alarm-redist.github.io/ggredist/reference/label_party.html","id":null,"dir":"Reference","previous_headings":"","what":"Label Partisan Vote Shares — label_party_margin","title":"Label Partisan Vote Shares — label_party_margin","text":"example, 45% Democratic vote share becomes \"R+10\" \"55% R\".","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/label_party.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Label Partisan Vote Shares — label_party_margin","text":"","code":"label_party_margin(midpoint = 0.5, reverse = FALSE, accuracy = 1)  label_party_pct(midpoint = 0.5, reverse = FALSE, accuracy = 1)"},{"path":"https://alarm-redist.github.io/ggredist/reference/label_party.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Label Partisan Vote Shares — label_party_margin","text":"midpoint Either 0.5, default, 0. label_party_margin(), zero, scale doubled (0.05 becomes \"D+5\" midpoint=0, 0.55 becomes \"D+10\" `midpoint=0.5) reverse TRUE, reverse \"D\" \"R\". accuracy scales::number_format","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/label_party.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Label Partisan Vote Shares — label_party_margin","text":"labeling function","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/label_party.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Label Partisan Vote Shares — label_party_margin","text":"","code":"labeler = label_party_margin(accuracy=0.1) labeler(c(0.3, 0.5, 0.543)) #> [1] \"R+40.0\" \"Even\"   \"D+8.6\"  labeler = label_party_margin(reverse=TRUE) labeler(c(0.3, 0.5, 0.543)) #> [1] \"D+40\" \"Even\" \"R+9\""},{"path":"https://alarm-redist.github.io/ggredist/reference/map_coloring.html","id":null,"dir":"Reference","previous_headings":"","what":"Produce a Map Coloring — map_coloring","title":"Produce a Map Coloring — map_coloring","text":"Finds colors every element shapefile adjacent elements color.","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/map_coloring.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Produce a Map Coloring — map_coloring","text":"","code":"map_coloring(shp, min_coloring = TRUE)"},{"path":"https://alarm-redist.github.io/ggredist/reference/map_coloring.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Produce a Map Coloring — map_coloring","text":"shp sf object min_coloring TRUE, try minimize number colors used","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/map_coloring.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Produce a Map Coloring — map_coloring","text":"integer vector length shp, corresponding coloring.","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/map_coloring.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Produce a Map Coloring — map_coloring","text":"","code":"data(oregon) or_short = oregon[30:50, ] map_coloring(or_short) #>  [1] 1 3 1 2 1 4 3 2 1 4 3 2 3 2 1 3 3 1 4 2 4  library(ggplot2) ggplot(or_short, aes(fill = map_coloring(or_short))) +     geom_sf() +     theme_map()"},{"path":"https://alarm-redist.github.io/ggredist/reference/oregon.html","id":null,"dir":"Reference","previous_headings":"","what":"Oregon Redistricting File — oregon","title":"Oregon Redistricting File — oregon","text":"data contains geographic, demographic, political information 1,071 census tracts state Oregon.","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/oregon.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Oregon Redistricting File — oregon","text":"","code":"data(\"oregon\")"},{"path":"https://alarm-redist.github.io/ggredist/reference/oregon.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Oregon Redistricting File — oregon","text":"sf object county county tract belongs . cd_2020 2210 congressional district assignment tract. pop total population tract, according 2020 Census. pop_white non-Hispanic white population precinct. ndv Average number votes Democratic candidates recent statewide elections. nrv Average number votes Republican candidates recent statewide elections. geometry sf geometry column containing geographic information.","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/oregon.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Oregon Redistricting File — oregon","text":"","code":"data(oregon) oregon[, 1:6] #> Simple feature collection with 1071 features and 6 fields #> Geometry type: MULTIPOLYGON #> Dimension:     XY #> Bounding box:  xmin: 2163029 ymin: -185907.3 xmax: 2814746 ymax: 293445.7 #> Projected CRS: NAD83(HARN) / Oregon North #> # A tibble: 1,071 × 7 #>    county cd_2020   pop pop_white   ndv   nrv                           geometry #>    <chr>    <int> <int>     <int> <dbl> <dbl>                 <MULTIPOLYGON [m]> #>  1 Baker        2  2844      2552  369. 1312. (((2705037 125011.4, 2710726 1212… #>  2 Baker        2  3191      2738  498. 1251. (((2711347 127396.3, 2711327 1265… #>  3 Baker        2  2745      2390  392. 1247. (((2760731 96173.67, 2759438 8633… #>  4 Baker        2  3088      2758  148.  402. (((2711327 126595.8, 2711347 1273… #>  5 Baker        2  2749      2380  464. 1127  (((2709192 128933.2, 2698934 1477… #>  6 Baker        2  2051      1846  336.  932. (((2714628 150906.5, 2731447 1515… #>  7 Benton       4  4344      3161 1436.  458  (((2279770 100406.1, 2279322 1004… #>  8 Benton       4  3409      2308 1188.  394  (((2280644 102610.9, 2280706 1026… #>  9 Benton       4  5256      4233 2049.  908  (((2274712 99335.66, 2274240 1013… #> 10 Benton       4  2968      2340 1709.  373. (((2277555 106896, 2279606 105983… #> # ℹ 1,061 more rows"},{"path":"https://alarm-redist.github.io/ggredist/reference/scale_538.html","id":null,"dir":"Reference","previous_headings":"","what":"FiveThirtyEight scales for ggplot2 — scale_fill_538","title":"FiveThirtyEight scales for ggplot2 — scale_fill_538","text":"FiveThirtyEight scales ggplot2","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/scale_538.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"FiveThirtyEight scales for ggplot2 — scale_fill_538","text":"","code":"scale_fill_538(...)  scale_color_538(...)"},{"path":"https://alarm-redist.github.io/ggredist/reference/scale_538.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"FiveThirtyEight scales for ggplot2 — scale_fill_538","text":"... additional arguments ggplot::scale_* functions","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/scale_538.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"FiveThirtyEight scales for ggplot2 — scale_fill_538","text":"ggplot scale function","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/scale_538.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"FiveThirtyEight scales for ggplot2 — scale_fill_538","text":"","code":"library(ggplot2) data(oregon)  ggplot(oregon, aes(fill = ndv / (ndv + nrv))) +     geom_sf(size = 0) +     scale_fill_538(name = '') +     theme_map()"},{"path":"https://alarm-redist.github.io/ggredist/reference/scale_dra.html","id":null,"dir":"Reference","previous_headings":"","what":"Dave's Redistricting App classic scale for ggplot2 — scale_fill_dra","title":"Dave's Redistricting App classic scale for ggplot2 — scale_fill_dra","text":"Dave's Redistricting App classic scale ggplot2","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/scale_dra.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Dave's Redistricting App classic scale for ggplot2 — scale_fill_dra","text":"","code":"scale_fill_dra(...)  scale_color_dra(...)  scale_colour_dra(...)"},{"path":"https://alarm-redist.github.io/ggredist/reference/scale_dra.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Dave's Redistricting App classic scale for ggplot2 — scale_fill_dra","text":"... Arguments passed ggplot2::discrete_scale()","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/scale_dra.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Dave's Redistricting App classic scale for ggplot2 — scale_fill_dra","text":"ggplot scale function","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/scale_dra.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Dave's Redistricting App classic scale for ggplot2 — scale_fill_dra","text":"","code":"library(ggplot2) data(oregon)  ggplot(oregon, aes(group = county, fill=county)) +     geom_district() +     scale_fill_dra() +     theme_map()"},{"path":"https://alarm-redist.github.io/ggredist/reference/scale_nature.html","id":null,"dir":"Reference","previous_headings":"","what":"Nature-derived Color Scales for ggplot2 — scale_fill_coast","title":"Nature-derived Color Scales for ggplot2 — scale_fill_coast","text":"Nature-derived Color Scales ggplot2","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/scale_nature.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Nature-derived Color Scales for ggplot2 — scale_fill_coast","text":"","code":"scale_fill_coast(...)  scale_color_coast(...)  scale_colour_coast(...)  scale_fill_larch(...)  scale_color_larch(...)  scale_colour_larch(...)"},{"path":"https://alarm-redist.github.io/ggredist/reference/scale_nature.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Nature-derived Color Scales for ggplot2 — scale_fill_coast","text":"... Arguments passed ggplot2::discrete_scale()","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/scale_nature.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Nature-derived Color Scales for ggplot2 — scale_fill_coast","text":"ggplot scale function","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/scale_nature.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Nature-derived Color Scales for ggplot2 — scale_fill_coast","text":"","code":"library(ggplot2) data(oregon)  ggplot(oregon, aes(group = county)) +     geom_district() +     scale_fill_coast() +     theme_map()   ggplot(oregon, aes(group = county)) +     geom_district() +     scale_fill_larch() +     theme_map()"},{"path":"https://alarm-redist.github.io/ggredist/reference/scale_party.html","id":null,"dir":"Reference","previous_headings":"","what":"Partisan scales for ggplot2 — scale_party","title":"Partisan scales for ggplot2 — scale_party","text":"Partisan scales ggplot2","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/scale_party.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Partisan scales for ggplot2 — scale_party","text":"","code":"scale_fill_party_c(   name = \"Vote share\",   midpoint = 0.5,   limits = 0:1,   labels = label_party_pct(),   oob = scales::squish,   reverse = FALSE,   ... )  scale_color_party_c(   name = \"Vote share\",   midpoint = 0.5,   limits = 0:1,   labels = label_party_pct(),   oob = scales::squish,   reverse = FALSE,   ... )  scale_fill_party_d(labels = c(\"Rep.\", \"Dem.\"), reverse = FALSE, ...)  scale_color_party_d(labels = c(\"Rep.\", \"Dem.\"), reverse = FALSE, ...)  scale_fill_party_b(   name = \"Vote share\",   midpoint = 0.5,   limits = 0:1,   labels = label_party_pct(),   oob = scales::squish,   reverse = FALSE,   nice.breaks = FALSE,   ... )  scale_color_party_b(   name = \"Vote share\",   midpoint = 0.5,   limits = 0:1,   labels = label_party_pct(),   oob = scales::squish,   reverse = FALSE,   nice.breaks = FALSE,   ... )  scale_colour_party_d(labels = c(\"Rep.\", \"Dem.\"), reverse = FALSE, ...)  scale_colour_party_c(   name = \"Vote share\",   midpoint = 0.5,   limits = 0:1,   labels = label_party_pct(),   oob = scales::squish,   reverse = FALSE,   ... )  scale_colour_party_b(   name = \"Vote share\",   midpoint = 0.5,   limits = 0:1,   labels = label_party_pct(),   oob = scales::squish,   reverse = FALSE,   nice.breaks = FALSE,   ... )"},{"path":"https://alarm-redist.github.io/ggredist/reference/scale_party.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Partisan scales for ggplot2 — scale_party","text":"name Name scale. Default \"Vote share\". midpoint Scale midpoint value. Default 0.5. limits Lower upper limits scale. Default 0:1. labels Function adjust scale labels. Default scales::percent. oob Function deal bounds. Default scales::squish(). reverse Whether reverse red blue. ... Additional arguments ggplot::scale_* functions nice.breaks TRUE, attempt place breaks nice values instead exactly evenly spaced limits.","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/scale_party.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Partisan scales for ggplot2 — scale_party","text":"ggplot scale function","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/scale_party.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Partisan scales for ggplot2 — scale_party","text":"","code":"library(ggplot2) data(oregon)  ggplot(oregon, aes(fill = ndv / (ndv + nrv))) +     geom_sf(size = 0) +     scale_fill_party_c(limits=c(0.3, 0.7)) +     theme_map()   ggplot(oregon, aes(fill = ndv / (ndv + nrv))) +     geom_sf(size = 0) +     scale_fill_party_b() +     theme_map()"},{"path":"https://alarm-redist.github.io/ggredist/reference/scale_penn82.html","id":null,"dir":"Reference","previous_headings":"","what":"Historical Pennsylvania Color Scale for ggplot2 — scale_fill_penn82","title":"Historical Pennsylvania Color Scale for ggplot2 — scale_fill_penn82","text":"Historical Pennsylvania Color Scale ggplot2","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/scale_penn82.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Historical Pennsylvania Color Scale for ggplot2 — scale_fill_penn82","text":"","code":"scale_fill_penn82(...)  scale_color_penn82(...)  scale_colour_penn82(...)"},{"path":"https://alarm-redist.github.io/ggredist/reference/scale_penn82.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Historical Pennsylvania Color Scale for ggplot2 — scale_fill_penn82","text":"... Arguments passed ggplot2::discrete_scale()","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/scale_penn82.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Historical Pennsylvania Color Scale for ggplot2 — scale_fill_penn82","text":"ggplot scale function","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/scale_penn82.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Historical Pennsylvania Color Scale for ggplot2 — scale_fill_penn82","text":"","code":"library(ggplot2) data(oregon)  ggplot(oregon, aes(group = county)) +     geom_district() +     scale_fill_penn82() +     theme_map()"},{"path":"https://alarm-redist.github.io/ggredist/reference/scale_polimap.html","id":null,"dir":"Reference","previous_headings":"","what":"Rand-McNally and National Geographic Color Scales for ggplot2 — scale_fill_randmcnally","title":"Rand-McNally and National Geographic Color Scales for ggplot2 — scale_fill_randmcnally","text":"Rand-McNally National Geographic Color Scales ggplot2","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/scale_polimap.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Rand-McNally and National Geographic Color Scales for ggplot2 — scale_fill_randmcnally","text":"","code":"scale_fill_randmcnally(...)  scale_color_randmcnally(...)  scale_colour_randmcnally(...)  scale_fill_natgeo(...)  scale_color_natgeo(...)  scale_colour_natgeo(...)"},{"path":"https://alarm-redist.github.io/ggredist/reference/scale_polimap.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Rand-McNally and National Geographic Color Scales for ggplot2 — scale_fill_randmcnally","text":"... Arguments passed ggplot2::discrete_scale()","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/scale_polimap.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Rand-McNally and National Geographic Color Scales for ggplot2 — scale_fill_randmcnally","text":"ggplot scale function","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/scale_polimap.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Rand-McNally and National Geographic Color Scales for ggplot2 — scale_fill_randmcnally","text":"","code":"library(ggplot2) data(oregon)  ggplot(oregon, aes(group = county)) +     geom_district() +     scale_fill_randmcnally() +     theme_map()   ggplot(oregon, aes(group = county)) +     geom_district() +     scale_fill_natgeo() +     theme_map()"},{"path":"https://alarm-redist.github.io/ggredist/reference/scale_wiki.html","id":null,"dir":"Reference","previous_headings":"","what":"Wikipedia Style Election Map scales for ggplot2 — scale_fill_wiki_rep","title":"Wikipedia Style Election Map scales for ggplot2 — scale_fill_wiki_rep","text":"Wikipedia Style Election Map scales ggplot2","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/scale_wiki.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Wikipedia Style Election Map scales for ggplot2 — scale_fill_wiki_rep","text":"","code":"scale_fill_wiki_rep(...)  scale_color_wiki_rep(...)  scale_fill_wiki_dem(...)  scale_color_wiki_dem(...)  scale_fill_wiki_rep_pres(...)  scale_color_wiki_rep_pres(...)  scale_fill_wiki_dem_pres(...)  scale_color_wiki_dem_pres(...)"},{"path":"https://alarm-redist.github.io/ggredist/reference/scale_wiki.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Wikipedia Style Election Map scales for ggplot2 — scale_fill_wiki_rep","text":"... additional arguments ggplot::scale_* functions","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/scale_wiki.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Wikipedia Style Election Map scales for ggplot2 — scale_fill_wiki_rep","text":"ggplot scale function","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/scale_wiki.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Wikipedia Style Election Map scales for ggplot2 — scale_fill_wiki_rep","text":"","code":"library(ggplot2) data(oregon)  ggplot(oregon, aes(fill = ndv / (ndv + nrv))) +     geom_sf(size = 0) +     scale_fill_wiki_dem(name = 'Dem Share') +     theme_map()"},{"path":"https://alarm-redist.github.io/ggredist/reference/theme_map.html","id":null,"dir":"Reference","previous_headings":"","what":"Map Theme — theme_map","title":"Map Theme — theme_map","text":"Theme maps uses 'Times' family transparent background.","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/theme_map.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Map Theme — theme_map","text":"","code":"theme_map(...)"},{"path":"https://alarm-redist.github.io/ggredist/reference/theme_map.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Map Theme — theme_map","text":"... additional parameters","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/theme_map.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Map Theme — theme_map","text":"ggplot2 theme","code":""},{"path":"https://alarm-redist.github.io/ggredist/reference/theme_map.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Map Theme — theme_map","text":"","code":"library(ggplot2) data(oregon)  ggplot(oregon, aes(group = county)) +     geom_district() +     scale_fill_penn82() +     theme_map()"},{"path":"https://alarm-redist.github.io/ggredist/news/index.html","id":"ggredist-002","dir":"Changelog","previous_headings":"","what":"ggredist 0.0.2","title":"ggredist 0.0.2","text":"CRAN release: 2022-11-23 Adds colors scales match Wikipedia’s typical election mapping colors.","code":""},{"path":"https://alarm-redist.github.io/ggredist/news/index.html","id":"ggredist-001","dir":"Changelog","previous_headings":"","what":"ggredist 0.0.1","title":"ggredist 0.0.1","text":"Added NEWS.md file track changes package. Adds new geom: geom_district(), geom_district_label(), geom_district_text(), geom_places() Adds scales discrete continuous partisan maps Adds theme_map()","code":""}]