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data-photoTree Density & Pollution — Toronto Intersections
Mapped street‑tree density and air‑quality indicators at multiple intersections to connect canopy with pollution and health.
Why Collect Open Data?
Local measurements make invisible patterns visible — trees, water, noise, and air. When youth collect and share open data, city builders can design policies that match real needs.
Examples from my work
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data-photoLake Ontario — Water Quality Data
Collected turbidity and other indicators; built a simple scale to explain water quality to the public.
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data-photoStreet Tree Density — Early Research
Early exploration into how street‑tree density varies across neighbourhoods and what it means for shade and cooling.
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data-photoToronto Lockdown Musical — Noise Data
Captured outdoor noise levels during COVID‑19 lockdown and transformed them into a musical sonification of city life.
How you can do it too
- Choose & define: pick one variable (trees, water, noise); decide where/when to measure.
- Collect & document: use simple tools (phone GPS, sensors, city APIs); log units, time, and location.
- Publish & share: map it, post a summary, and send to the relevant city team or school group.