Wildfire Impact & Air Quality Explorer

CSCE 5320 — Assignment 4: Interactive Scientific Visualization (D3.js v7)

Dataset is synthetic and built for this course assignment. It is used here for visualization & design analysis only — not for real public-health or regulatory claims.

Showing: all 8 stations · full year (Jan–Dec 2026)
Click a station (row label or cell) to highlight it everywhere. Drag the strip under the timeline to focus on a date range.

1) Where and when did stations deviate from their own normal? Q1

Each cell is one station-day. Color shows how far that day's PM2.5 sat above (orange–red) or below (blue) that station's own typical baseline — not a citywide average. The wildfire-smoke window (Aug 15–25) should stand out as a solid red band at ST05, ST06 and ST07.

2) Which stations stay elevated year-round? Q2

Mean PM2.5 in Winter (Dec–Feb) vs. Summer (Jun–Aug) for each station. Every station falls from winter to summer — but the three wildfire-affected stations (red) fall noticeably less, because their August spike partly offsets the normal seasonal dip.

3) Does smoke break the usual NO2–PM2.5 relationship? Q3

Each point is one station-day: traffic-linked NO2 vs. PM2.5. Two fitted trend lines compare normal days to wildfire-smoke days — a separated, higher red line means smoke behaves like "extra" PM2.5 that traffic alone does not explain.