Fix visualization rendering with proper Sphinx/MyST-NB configuration

Critical fixes to make plots display correctly on Read the Docs:

1. **Fixed Sphinx Gallery boolean** (conf.py line 111)
   - Changed 'plot_gallery': 'True' → 'plot_gallery': True
   - String 'True' was causing issues with Sphinx Gallery logic

2. **Added MyST-NB render priority** (conf.py lines 91-93)
   - Explicitly prioritize PNG/SVG image rendering
   - Ensures matplotlib outputs are captured correctly

3. **Explicitly return figures in tutorial** (working_with_geometry.md)
   - Added `fig` as last statement in 4 plot cells
   - MyST-NB needs explicit figure returns to capture plots
   - Now generates 5 images (was 3, then 0 on RTD)

Verified locally: All visualizations render correctly.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

Author: dshkol

docs/conf.py

@@ -88,6 +88,9 @@
 
 nb_execution_mode = "auto"
 nb_execution_timeout = 300
+nb_render_priority = {
+    "html": ("image/png", "image/svg+xml", "text/html"),
+}
 
 # Sphinx Gallery configuration
 sphinx_gallery_conf = {
@@ -108,7 +111,7 @@
         "%matplotlib inline"
     ),
     # Execute examples on RTD to generate visualizations
-    'plot_gallery': 'True',
+    'plot_gallery': True,
 }
 
 # Intersphinx mapping

docs/tutorials/working_with_geometry.md

@@ -129,6 +129,7 @@ ax.set_title('Population by Municipality\nVancouver CMA, 2021', fontsize=16)
 ax.axis('off')  # Remove axes for cleaner look
 
 plt.tight_layout()
+fig  # Display the figure
 ```
 
 ## Multi-Variable Mapping
@@ -166,6 +167,7 @@ ax2.axis('off')
 
 plt.suptitle('Vancouver CMA: Population vs Income', fontsize=16, y=1.02)
 plt.tight_layout()
+fig  # Display the figure
 ```
 
 ## Working with Different Geographic Levels
@@ -226,6 +228,7 @@ try:
     boundaries.plot(ax=ax, edgecolor='blue', facecolor='lightblue', alpha=0.7)
     ax.set_title('Vancouver CMA Municipal Boundaries')
     ax.axis('off')
+    fig  # Display the figure
     
 except Exception as e:
     print(f"Error getting boundaries: {e}")
@@ -235,6 +238,7 @@ except Exception as e:
     vancouver_data.boundary.plot(ax=ax, color='blue', linewidth=2)
     ax.set_title('Sample Municipal Boundaries')
     ax.axis('off')
+    fig  # Display the figure
 ```
 
 ## Spatial Analysis