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Route leg start/end coordinates and distance for logistics and routing optimization.

Synthetic mobility events with RF metrics and throughput for telecom analytics.

Synthetic AIS-style positions with kinematics for trajectory learning.

Point-of-interest check-ins with lat/lon and category for location analytics.

Geospatial traffic flow, occupancy, and context for urban mobility models.

Per-tile vegetation and atmospheric corrections for agriculture and climate ML.

Incident polygons with weather drivers for geospatial risk modeling.

Demographic and economic stats by ZIP code for geospatial regression and mapping.