docs(spatial): add Euclidean and geographic geo functions #332
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Add documentation for new spatial functions from PR #6664: - geo_within_box() - rectangular bounding box queries - geo_within_radius() - circular Euclidean distance queries - geo_within_radius_latlon() - lat/lon radius queries in meters - geo_distance_meters() - distance calculation between coordinates Key documentation features: - "Choosing the right function" decision table - LIDAR scan indexing examples with zone-based lookups - Vehicle tracking examples for geographic functions - Error handling and NULL behavior documented - Links to related geohash documentation Co-Authored-By: Claude Opus 4.5 <[email protected]>
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🚀 Build success! Latest successful preview: https://preview-332--questdb-documentation.netlify.app/docs/ Commit SHA: f360b86
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- Rename geo_within_box to within_box - Rename geo_within_radius to within_radius - Remove unused pose_z column from example schema Co-Authored-By: Claude Opus 4.5 <[email protected]>
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Summary
Documents new spatial functions from questdb/questdb#6664:
Euclidean space functions for LIDAR point clouds, robotics, and physical AI:
within_box(x, y, min_x, min_y, max_x, max_y)- rectangular bounding box querieswithin_radius(x, y, center_x, center_y, radius)- circular distance queriesGeographic coordinate functions for GPS/lat-lon data:
geo_within_radius_latlon(lat, lon, center_lat, center_lon, radius_meters)- radius queries in metersgeo_distance_meters(lat1, lon1, lat2, lon2)- distance calculationDocumentation highlights
TIMESTAMP()andPARTITION BYUse case focus
The documentation emphasizes discoverability for physical AI / robotics projects by:
Test plan
/docs/query/functions/spatial🤖 Generated with Claude Code