Open each app in your browser to explore features and data. If you notice any issues please drop me a line!

1. Cluster Explorer

https://simonabisiani-clustering-analysis-dashboard.share.connect.posit.cloud/

2. Outlet Map

https://0198a3be-1c47-dc00-7fcf-70907dd8e320.share.connect.posit.cloud/

Purpose:

• Explore distribution of location mentions across articles
• Cluster (by publisher or otherwise?)
• See if location occurrence makes articles “clusterable”
• Could layer other article-level properties

Elements:

<aside>

1. Menu → top left (1/3)
   • Outlet selector
   • Cluster selector
   • Metric selector </aside>

<aside>

1. Stats / Plots → bottom left (2/3)

Default:

• Textbox: Corpus Info, including umber of outlets, number of publishers, number of locations and articles.
• Table:
  • Cluster → Rural (n = 5), Hyperlocal (n = 10)
  • GINI → mean, median, sd
  • Convex, Radius → mean, median, sd
  • LSOA count → mean, median, sd
  • Moran’s I → mean, median, sd
• Plots:
  • Boxplots / ggridges
  • Heatmap
  • Cumulative distribution curves

If outlet is chosen:

• Textbox: Outlet info, including Name, URL, owner, description.
• Table:
  • Cluster → Rural
  • GINI → 0.2 (rank: 20/360)
  • Convex, Radius → 20km2, 30km, (rank: 20/360)
  • Top Location → Birmingham (n = 45)
  • LSOA count → 16, (rank: 20/360)
  • Moran’s I → 1.5, (rank: 20/360)
  • Location count → 73, (rank: 20/360)
• Plots:
  • Boxplots / ggridges
  • Heatmap
  • Cumulative distribution curves </aside>

<aside>

1. Map → right
   • Locations as scatter on map:
     • Size by frequency
     • Colour by cluster
   • Draw convex hull
   • Draw radius around primary location
   • Overlay LSOA:
     • Colour by frequency
     • Colour by type
   • Draw radius of 10% locations, and so on, from outlet central location </aside>

Compare Outlet Section

Spatial Heterogeneity