Maynooth Emission Voronoi

The brief was to make local emissions data tangible for a non-technical audience in Maynooth. Raw sensor readings don’t communicate much; a living, breathing diagram does.

I used D3’s Voronoi tessellation to divide the town into sensor-influence zones. As emission values shift, GSAP morphs the cell boundaries and fills — the map physically reacts to what the air is doing.

Animated Voronoi diagram showing emission zones around Maynooth shifting in real time — The full diagram — Voronoi cells morphing as emission readings change across the sensor network.

Static overview of the Maynooth emissions map — Static frame — sensor locations and their initial zone boundaries laid out over the town footprint.

Cell morphing animation detail — Cell morphing in detail — GSAP drives smooth boundary transitions between emission states.

Color fill transitions on emission spike — Fill transitions on an emission spike — color encodes severity across the affected cells.

Full interaction cycle — hover reveals per-sensor readings; the diagram responds to filter controls.

Highlights

D3 Voronoi tessellation recomputed on each data tick
GSAP morphing keeps transitions smooth even at high update frequency
Hover state surfaces per-sensor readings without cluttering the base view
Sensor influence zones give spatial intuition to abstract air-quality numbers