Data tied to a location on the Earth's surface, enabling analysis by place and joins across otherwise unrelated sources.
Geospatial data is any data referenced to a position on the Earth, from a single latitude and longitude to complex shapes like a store's catchment area or a shipping lane. It comes in two broad forms - vector data of points, lines, and polygons, and raster data of gridded cells like imagery - and it lives in specific coordinate systems that have to line up before anything can be compared.
Its power is that location is a universal join key: foot-traffic near a store, satellite counts of its lot, and the store's own coordinates can be tied together because they share a place, even though nothing else about them matches. That makes geospatial the connective tissue of a lot of alternative data, and getting the projections, boundaries, and spatial joins right is the difference between a real insight and a subtly misaligned one.
A live evaluation measures EdgeOrigin against your coverage requirements: decision-ready real-time data, delivery latency into your systems, and record-level provenance.