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Spatial clustering in air quality data accuracy: assessment of low-cost sensors in Lisbon using a novel correlation-distance indexNARA Subscribed
Effective air quality monitoring is essential for ensuring urban environmental comfort and protecting public health, especially within smart-city frameworks. In Lisbon, the performance of low-cost NO₂ and PM 10 sensors was assessed using a novel Correlation-Distance Index (CDI) coupled with Principal Component Analysis (PCA) weighting, alongside a demographic-weighted spatial association technique, benchmarked against referenc...
Application of the DPSIR framework to air quality approachesNARA Subscribed
Air quality assessment in Algiers cityNARA Subscribed
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