This episode dives into geocoding and distance calculations, the backbone of accurate supply chain modeling. You’ll see how to turn raw addresses into latitude/longitude points, verify them visually, and switch between providers like Mapbox, Bing, or Azure with a single key. From there, the video shows how Cosmic Frog calculates road distances and transit times, either from your own data or through automated lookups powered by external APIs.
The best part? You’ll discover how flexible the platform is. Need rough estimates for strategy? Cosmic Frog can give you quick straight-line distances with smart adjustments. Need precision for routing? The Distance Lookup utility plugs into external providers for lane-level accuracy.
Key features explained 🏆
Understanding Geocoding Accuracy
Reviewing the Geocoding Run Summary
Mapping Geocoded Locations for Validation
Configuring a Custom Geo Provider API (beyond MapBox default)
Calculating Distances and Transit Times
Defining Transit Values in Tables
Using Straight Line Distance When No Transit Values Are Defined
Adjusting the Circuity Factor for Straight Line Distances
Leveraging the TransitMatrix Table as an Alternative to Transportation Policy
Populating Distances and Times with Third-Party Providers (Bing, Google, PC Miler)
Suggested Pre-Work 💻
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