Built site for gh-pages

Author: Quarto GHA Workflow Runner

.nojekyll

@@ -1 +1 @@
-044f8da7
+fadf628e

search.json

@@ -25,7 +25,7 @@
     "href": "workshops.html#upcoming-workshops",
     "title": "Workshops",
     "section": "Upcoming Workshops",
-    "text": "Upcoming Workshops\n\n\n\n\n\n\nNoteIntro to Mapping with R\n\n\n\nTBD Spring 2026\nLearn how to create clean, publication-ready maps using R. This hands-on workshop introduces the basics of working with spatial data in R, including reading shapefiles/GeoJSON, joining data, styling layers, and exporting your map. No previous experience with R or GIS is required—we’ll start from the ground up with simple, clear examples you can adapt for research or class projects.\n\n\n\n\n\n\n\n\n\nNoteIntro to Mapping with Python\n\n\n\nTBD Spring 2026\nLearn how to create clean, publication-ready maps using Python. This hands-on workshop introduces the basics of working with spatial data in Python, including reading shapefiles/GeoJSON, joining data, styling layers, and exporting your map. No previous experience with Python or GIS is required—we’ll start from the ground up with simple, clear examples you can adapt for research or class projects.\n\n\n\n\n\n\n\n\n\nNoteBuild Your Research Portfolio on GitHub\n\n\n\nTBD Spring 2026\nA strong portfolio can help you stand out in applications for internships, research positions, and graduate programs. This hands-on workshop will guide you through creating a GitHub Pages site to display your mapping and data visualization projects. You’ll leave with your own live website and a structure you can keep building on."
+    "text": "Upcoming Workshops\n\n\n\n\n\n\nNoteIntroduction to R with RStudio\n\n\n\nTBD Spring 2026\nThis beginner-friendly workshop introduces the basics of working with R and RStudio. You’ll learn how to run code, navigate the RStudio interface, install and load packages, and work with simple data. No prior experience is required. We’ll start from the very beginning so you feel comfortable using R for future coursework, research, or data projects.\n\n\n\n\n\n\n\n\n\nNoteIntro to Mapping with R\n\n\n\nTBD Spring 2026\nLearn how to create clean, publication-ready maps using R. This hands-on workshop introduces the basics of working with spatial data in R, including reading shapefiles/GeoJSON, joining data, styling layers, and exporting your map. No previous experience with R or GIS is required—we’ll start from the ground up with simple, clear examples you can adapt for research or class projects.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nNoteBuild Your Research Portfolio on GitHub\n\n\n\nTBD Spring 2026\nA strong portfolio can help you stand out in applications for internships, research positions, and graduate programs. This hands-on workshop will guide you through creating a GitHub Pages site to display your mapping and data visualization projects. You’ll leave with your own live website and a structure you can keep building on."
   },
   {
     "objectID": "workshops.html#past-workshops",

sitemap.xml

@@ -2,18 +2,18 @@
 <urlset xmlns="http://www.sitemaps.org/schemas/sitemap/0.9">
   <url>
     <loc>https://GeospatialResearchLab.github.io/resources.html</loc>
-    <lastmod>2025-11-17T19:01:51.332Z</lastmod>
+    <lastmod>2025-11-18T14:28:05.351Z</lastmod>
   </url>
   <url>
     <loc>https://GeospatialResearchLab.github.io/about.html</loc>
-    <lastmod>2025-11-17T19:01:51.330Z</lastmod>
+    <lastmod>2025-11-18T14:28:05.350Z</lastmod>
   </url>
   <url>
     <loc>https://GeospatialResearchLab.github.io/index.html</loc>
-    <lastmod>2025-11-17T19:01:51.331Z</lastmod>
+    <lastmod>2025-11-18T14:28:05.350Z</lastmod>
   </url>
   <url>
     <loc>https://GeospatialResearchLab.github.io/workshops.html</loc>
-    <lastmod>2025-11-17T19:01:51.332Z</lastmod>
+    <lastmod>2025-11-18T14:28:05.351Z</lastmod>
   </url>
 </urlset>

workshops.html

@@ -151,12 +151,12 @@ <h2 class="anchored" data-anchor-id="upcoming-workshops">Upcoming Workshops</h2>
 <i class="callout-icon"></i>
 </div>
 <div class="callout-title-container flex-fill">
-<span class="screen-reader-only">Note</span><strong>Intro to Mapping with R</strong>
+<span class="screen-reader-only">Note</span>Introduction to R with RStudio
 </div>
 </div>
 <div class="callout-body-container callout-body">
 <p><strong>TBD Spring 2026</strong><br>
-Learn how to create clean, publication-ready maps using R. This hands-on workshop introduces the basics of working with spatial data in R, including reading shapefiles/GeoJSON, joining data, styling layers, and exporting your map. No previous experience with R or GIS is required—we’ll start from the ground up with simple, clear examples you can adapt for research or class projects.<br>
+This beginner-friendly workshop introduces the basics of working with R and RStudio. You’ll learn how to run code, navigate the RStudio interface, install and load packages, and work with simple data. No prior experience is required. We’ll start from the very beginning so you feel comfortable using R for future coursework, research, or data projects.<br>
 </p>
 </div>
 </div>
@@ -166,15 +166,20 @@ <h2 class="anchored" data-anchor-id="upcoming-workshops">Upcoming Workshops</h2>
 <i class="callout-icon"></i>
 </div>
 <div class="callout-title-container flex-fill">
-<span class="screen-reader-only">Note</span><strong>Intro to Mapping with Python</strong>
+<span class="screen-reader-only">Note</span><strong>Intro to Mapping with R</strong>
 </div>
 </div>
 <div class="callout-body-container callout-body">
 <p><strong>TBD Spring 2026</strong><br>
-Learn how to create clean, publication-ready maps using Python. This hands-on workshop introduces the basics of working with spatial data in Python, including reading shapefiles/GeoJSON, joining data, styling layers, and exporting your map. No previous experience with Python or GIS is required—we’ll start from the ground up with simple, clear examples you can adapt for research or class projects.<br>
+Learn how to create clean, publication-ready maps using R. This hands-on workshop introduces the basics of working with spatial data in R, including reading shapefiles/GeoJSON, joining data, styling layers, and exporting your map. No previous experience with R or GIS is required—we’ll start from the ground up with simple, clear examples you can adapt for research or class projects.<br>
 </p>
 </div>
 </div>
+<!-- :::callout-note -->
+<!-- ### **Intro to Mapping with Python** -->
+<!-- **TBD Spring 2026**\ -->
+<!-- Learn how to create clean, publication-ready maps using Python. This hands-on workshop introduces the basics of working with spatial data in Python, including reading shapefiles/GeoJSON, joining data, styling layers, and exporting your map. No previous experience with Python or GIS is required—we’ll start from the ground up with simple, clear examples you can adapt for research or class projects.\ -->
+<!-- ::: -->
 <div class="callout callout-style-default callout-note callout-titled">
 <div class="callout-header d-flex align-content-center">
 <div class="callout-icon-container">