Nelvinebi / Spatiotemporal-Mapping-of-PM2.5-and-PM10Links
This project generates synthetic spatiotemporal PM2.5 and PM10 air quality data, visualizing pollution trends over time and space using Python. It demonstrates environmental data analysis techniques for urban air quality monitoring and modeling, aiding research, decision-making, and awareness in environmental health.
☆10Updated 3 months ago
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