Location is not a property.
It's a dependency graph.

Primary: Atmospheric dispersion — plume simulation and wind-source triangulation. Three sensors reading zero upwind + one reading 50 ppm downwind = source location, plume direction, emission rate estimate, and twelve-minute risk forecast for personnel zones.
Secondary: Jurisdiction mapping for TCEQ/EPA notification thresholds. Personnel zone proximity from indoor spatial graph.

Primary: Watershed delineation and inundation mapping — every water sensor's position resolved to its upstream contributing area and downstream flood zone. Contamination plume tracked through the hydrological network.
Secondary: Upstream sensor graph for causal attribution. NPDES permit boundary enforcement via governance geometry.

Primary: Terrain-adjusted spatial interpolation and kriging — microclimate readings from a valley floor mean something fundamentally different than readings from a ridge top. geog.ai resolves terrain context for every met station to produce spatially meaningful nowcasts.
Secondary: Fire weather index enrichment. Atmospheric stability class resolution for plume models that depend on this vertical's wind data.

Primary: Fire spread polygon and ember transport zone — combining fire source, terrain, and wind vectors to model propagation in minutes. Ignition risk enrichment from lightning strike coordinates and fire weather index. Prescribed burn containment geofence and escape-route check.
Secondary: CAL FIRE/USFS district boundary and notification authority. Upstream weather station graph for fire weather index computation.

Primary: Vibration spatial correlation and settlement mapping — seismic signals propagate through soil in ways that depend on geology, depth, and intervening structure. geog.ai resolves which sensors are geologically co-located vs. separated by a fault plane or soil type boundary.
Secondary: Building footprint and infrastructure polygon context. Slope stability zone geometry for landslide-risk enrichment.

Primary: Spatial correlation of pressure delta anomalies along a polyline asset to locate leak position. A pressure drop between sensors narrows the leak to a segment; geog.ai resolves that segment geometry, its terrain, and nearest access point.
Secondary: PHMSA permit boundary and right-of-way polygon. Nearest water body and settlement for consequence-of-failure enrichment.

Primary: Transmission line coordinate enrichment for ice-load and wind-load per segment using terrain and weather context. Power network graph for outage propagation modeling — which downstream assets are at risk if this transformer fails.
Secondary: FERC territory polygon for jurisdiction and notification authority. Terrain-adjusted wind resource via spatial kriging for renewable integration planning.

Primary: Route analysis and congestion zone detection — traffic counts are only meaningful when resolved to their road network position, intersection geometry, and upstream/downstream flow relationships. geog.ai resolves the infrastructure graph that makes adaptive signal control spatially coherent.
Secondary: DOT district jurisdiction for incident notification. V2X RSU coverage polygon for autonomous vehicle corridor analysis.

Primary: Vessel trajectory modeling, berth proximity resolution, and plume dispersion over water for exhaust and fuel spill analysis. Tidal current modeling affects both plume transport and berthing safety margins.
Secondary: Tidal zone jurisdiction for COLREGS and port authority notification. Hull sensor positions resolved against berth and channel geometry for collision-risk enrichment.

Primary: Field zone analysis and soil variability mapping using NDVI + terrain + soil sensor spatial interpolation. Variable rate application zones are output geometries — polygons that prescribe exactly where and how much to apply, computed from spatial heterogeneity in the sensor network.
Secondary: Watershed delineation for irrigation return flow modeling. Property boundary for regulatory compliance on chemical application.

Primary: Water body geometry and current modeling for drift prediction of buoys, gliders, and pollutant plumes. DO and temperature readings from distributed sensors spatially interpolated across the monitoring area to build a continuous field model — not isolated point readings.
Secondary: EEZ and watershed boundary for regulatory trigger evaluation. Effluent plume simulation for pollution source tracing.

Primary: Pen GPS coordinates resolved against tidal current vector and water exchange rate — the same DO reading in a well-flushed pen and a stagnant corner means something completely different. Spatial interpolation of DO and temperature across the pen array identifies which pens need intervention.
Secondary: Aquaculture licensing authority and lice treatment trigger via watershed/EEZ boundary. Effluent plume for downstream impact assessment.