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no2

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Geostatistical modeling of urban air pollutants (NO₂ and PM₁₀) across Los Angeles County using the Hidden Dynamic Geostatistical Model (HDGM) framework implemented in MATLAB with the D-STEM package. Includes full data processing, model fitting, cross-validation, and spatial prediction workflow.

  • Updated Oct 16, 2025
  • MATLAB

This is a COVID-19 Air Pollution tracking program that looks at the correlation between COVID-19 Lockdowns and the overall pollution impact in certain European cities. The program utilses graphs and other visual stats to allow visual representations of significant or minimal difference in pollution levels with as a result to the on going pandemic.

  • Updated Dec 7, 2022
  • Python

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