Spatial Observability: Monitoring Geometry Changes in Production
Catching bad geometries at ingestion is only half the problem. The other half is knowing when your transformations corrupt them. I wrote previously about silent errors in geospatial pipelines - geometries that pass validation but produce wrong results. Those errors typically happen at the boundary of your system, when you’re loading data from external sources. You can catch most of them with better validation: check winding order, enforce CRS consistency, flag suspicious areas. ...