Concepts
Understand the core concepts behind spatial data in Python before diving into tasks and workflows.
Every concept, A–Z
Page 12 — use the page links below, or browse by topic above.
- Where building heights come from, and how wrong they are
- Which Map Elements Are Actually Required
- Why GeoPandas Is Slow: The Four Real Bottlenecks
- Why Restaurant Inspection Data Only Shows Restaurants Still Open
- Wildfire Mapping Explained: Perimeters, Detections, Smoke and Damage
- Wind Resource Explained
- Wind Vectors Explained
- WKT, WKB and GeoJSON: How Geometry Is Actually Stored
- Yield monitor data explained: what the numbers really are