Geo Situational Brief

This is a deliberately meaty graph template for exercising branching, filters, cross-referencing, and multiple panels.

The default graph fetches live USGS earthquake GeoJSON, reads profile variables for a reference location, filters significant events, finds the nearest earthquake to the reference location, cross-references a small static city list, produces chart buckets, and renders a Markdown brief.

Default profile variables:

• USER_LAT: 37.7749
• USER_LON: -122.4194
• MIN_MAGNITUDE: 4.5
• MAX_EVENTS: 12

High-level shape:

USGS GeoJSON URL -> HTTP Request -> Feature extraction
Feature extraction -> Significant GeoJSON -> Map / JSON Response
Feature extraction -> Top event rows -> Table / Markdown summary
Feature extraction + profile location + reference cities -> Nearest quake -> Nearest map layer
Feature extraction -> Magnitude buckets -> Chart
Feature extraction -> Region buckets -> Markdown summary
All summary branches -> Markdown brief -> Text Response

Recommended panels:

• Map Preview bound to Significant GeoJSON: value
• Map Preview bound to Nearest map layer: value
• Data Table bound to Top event rows: value
• Chart Preview bound to Magnitude buckets: value
• Markdown Preview bound to Markdown brief: value
• JSON Inspector bound to Brief summary JSON: value

Why this graph exists:

• It exercises remote HTTP data.
• It fans one dataset into multiple branches.
• It uses profile variables as stand-ins for future browser geolocation.
• It cross-references a static city dataset.
• It highlights where useful transforms should become first-class primitives later.

Future upgrades:

• Add a Browser Location input primitive that prompts for geolocation and passes USER_LAT/USER_LON into execution.
• Add a Geo Distance / Nearest Feature primitive.
• Add a GeoJSON Filter primitive.
• Add map panel configuration for auto-focus behavior, layers, clustering, and marker styling.
• Add default panel layout import so the recommended panels appear automatically.