diff --git a/.nojekyll b/.nojekyll
index 2c646e3..a12780e 100644
--- a/.nojekyll
+++ b/.nojekyll
@@ -1 +1 @@
-84850a78
\ No newline at end of file
+bfe43cfe
\ No newline at end of file
diff --git a/mod_data-viz.html b/mod_data-viz.html
index e076b36..867dd5f 100644
--- a/mod_data-viz.html
+++ b/mod_data-viz.html
@@ -1004,7 +1004,7 @@ <h3 class="anchored" data-anchor-id="presentation-vs.-publication">Presentation
 </section>
 <section id="ordination" class="level2">
 <h2 class="anchored" data-anchor-id="ordination">Ordination</h2>
-<p>If you are working with multivariate data (i.e., data where multiple columns are all response variables collectively) you may find ordination helpful. Ordination is the general term for many types of multivariate visualization but typically is used to refer to visualizing a distance or dissimiliarity measure of the data. Such measures collapse all of those columns of response variables into fewer (typically two) index values that are easier to visualize. Common examples of this include <u>P</u>rincipal <u>C</u>omponents <u>A</u>nalysis (PCA), <u>N</u>on-<u>M</u>etric <u>M</u>ultidimensional <u>S</u>caling (NMS / NMDS), or <u>P</u>rincipal <u>Co</u>ordinates <u>A</u>nalysis (PCoA / “metric multidimensional scaling”).</p>
+<p>If you are working with multivariate data (i.e., data where multiple columns are all response variables collectively) you may find ordination helpful. Ordination is the general term for many types of multivariate visualization but typically is used to refer to visualizing a distance or dissimiliarity measure of the data. Such measures collapse all of those columns of response variables into fewer (typically two) index values that are easier to visualize. Common examples of this include <u>P</u>rincipal <u>C</u>omponents <u>A</u>nalysis (PCA), <u>N</u>onmetric <u>M</u>ultidimensional <u>S</u>caling (NMS / NMDS), or <u>P</u>rincipal <u>Co</u>ordinates <u>A</u>nalysis (PCoA / “metric multidimensional scaling”).</p>
 </section>
 <section id="maps" class="level2">
 <h2 class="anchored" data-anchor-id="maps">Maps</h2>
diff --git a/mod_data-viz_files/figure-html/multi-modal-1.png b/mod_data-viz_files/figure-html/multi-modal-1.png
index d6b4403..9ebab55 100644
Binary files a/mod_data-viz_files/figure-html/multi-modal-1.png and b/mod_data-viz_files/figure-html/multi-modal-1.png differ
diff --git a/search.json b/search.json
index ec17dc5..8b6d05e 100644
--- a/search.json
+++ b/search.json
@@ -356,7 +356,7 @@
     "href": "mod_data-viz.html#ordination",
     "title": "Data Visualization & Exploration",
     "section": "Ordination",
-    "text": "Ordination\nIf you are working with multivariate data (i.e., data where multiple columns are all response variables collectively) you may find ordination helpful. Ordination is the general term for many types of multivariate visualization but typically is used to refer to visualizing a distance or dissimiliarity measure of the data. Such measures collapse all of those columns of response variables into fewer (typically two) index values that are easier to visualize. Common examples of this include Principal Components Analysis (PCA), Non-Metric Multidimensional Scaling (NMS / NMDS), or Principal Coordinates Analysis (PCoA / “metric multidimensional scaling”).",
+    "text": "Ordination\nIf you are working with multivariate data (i.e., data where multiple columns are all response variables collectively) you may find ordination helpful. Ordination is the general term for many types of multivariate visualization but typically is used to refer to visualizing a distance or dissimiliarity measure of the data. Such measures collapse all of those columns of response variables into fewer (typically two) index values that are easier to visualize. Common examples of this include Principal Components Analysis (PCA), Nonmetric Multidimensional Scaling (NMS / NMDS), or Principal Coordinates Analysis (PCoA / “metric multidimensional scaling”).",
     "crumbs": [
       "Phase II -- Plan",
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diff --git a/sitemap.xml b/sitemap.xml
index 07a6230..57f317a 100644
--- a/sitemap.xml
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@@ -2,102 +2,102 @@
 <urlset xmlns="http://www.sitemaps.org/schemas/sitemap/0.9">
   <url>
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-    <lastmod>2024-06-10T15:41:51.927Z</lastmod>
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   </url>
   <url>
     <loc>https://lter.github.io/ssecr/mod_version-control.html</loc>
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   <url>
     <loc>https://lter.github.io/ssecr/mod_interactivity.html</loc>
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   <url>
     <loc>https://lter.github.io/ssecr/mod_data-viz.html</loc>
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   <url>
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   <url>
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   <url>
     <loc>https://lter.github.io/ssecr/mod_template.html</loc>
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   <url>
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   <url>
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   <url>
     <loc>https://lter.github.io/ssecr/CONTRIBUTING.html</loc>
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   <url>
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   <url>
     <loc>https://lter.github.io/ssecr/index.html</loc>
-    <lastmod>2024-06-10T15:41:51.927Z</lastmod>
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   <url>
     <loc>https://lter.github.io/ssecr/policy_ai.html</loc>
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   <url>
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   <url>
     <loc>https://lter.github.io/ssecr/mod_credit.html</loc>
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   <url>
     <loc>https://lter.github.io/ssecr/mod_facilitation.html</loc>
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   <url>
     <loc>https://lter.github.io/ssecr/mod_project-mgmt.html</loc>
-    <lastmod>2024-06-10T15:41:51.927Z</lastmod>
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   <url>
     <loc>https://lter.github.io/ssecr/policy_conduct.html</loc>
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   <url>
     <loc>https://lter.github.io/ssecr/mod_data-disc.html</loc>
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