Concepts
Understand the core concepts behind spatial data in Python before diving into tasks and workflows.
Every concept, A–Z
Page 11 — use the page links below, or browse by topic above.
- What Is a GeoDataFrame? Structure and Key Concepts
- What Is a GIS Data Pipeline? The Anatomy Explained
- What Makes a Geometry Valid? The OGC Rules Explained
- What to Test in a GIS Pipeline (and What You Cannot)
- Where building heights come from, and how wrong they are
- Which Map Elements Are Actually Required
- Why GeoPandas Is Slow: The Four Real Bottlenecks
- 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