Environmental Sensor QA/QC: Noisy Readings to a Verified AQI (2D)

Real environmental monitoring networks — the low-cost PM2.5 sensors behind citizen-science air quality maps, IoT water-quality buoys, satellite-fed climate stations — never report clean data. Every reading carries per-device calibration drift, dropouts and occasional spikes, and the trustworthy number the public sees is the output of a quality-assurance pipeline, not the raw stream. This 2D top-down companion to the 3D sensor-grid simulator runs the exact same 64-sensor pipeline — a rolling z-score test rejects outliers per sensor, a gap-fill window reconstructs rejected or missing samples from recent history, and a calibration slider corrects for systematic sensor bias — rendered as a flat, pannable, zoomable city map instead of an orbiting 3D bar chart. Live readouts compare the naive raw network AQI against the cleaned AQI so you can see exactly how much of "the data" is actually the QA/QC pipeline talking.