LATTICE Georeferencing and Reality Capture

To normalize EPSG coordinates during ingestion, this Skill reprojects captured spatial data to WGS84 (EPSG:4326) via pyproj before writing WKT POINTs to the project_georef table. It implements missing format converters for GeoTIFF and shapefile sources to prevent 501 errors.

Your reality capture ingest returns a NotImplementedError because missing georef converter stubs fail to process source formats. This Skill implements these format converters for KML, IFC, OSM, and DXF sources to successfully ingest data without raising NotImplementedErrors.

To validate PostGIS spatial indexes, this Skill verifies GiST index status directly on geometry columns used by downstream spatial queries. This spatial index integrity check keeps runtime analytics stable and ensures reliable coordinate data retrieval.

Yes, you can use this to fix EPSG gaps before writing to the Pixeltable mirror. It enforces EPSG normalization prior to any Pixeltable write and validates mirror_state sync warnings to detect and block mirror drift before the next ingest cycle.

Supported spatial data formats for EPSG-normalized ingest include KML, shapefile, GeoTIFF, survey CSV, IFC, OSM, and DXF. The Skill extracts coordinates from these formats and enforces WGS84 (EPSG:4326) reprojection via pyproj for all extracted data.

To check mirror sync drift, this Skill validates lattice/reality/mirror_state sync warnings to detect drift issues. It blocks or signals these issues before the next ingest cycle writes new rows, ensuring reliable reality capture ingestion.