In this project, the LUR models were explored from three aspects within the GIS context.

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In the first part, change in spatial patters of NO2 over Metro Vancouver was mapped by estimates from the LUR models. Some artifacts, arising from the model itself, were apparently shown in maps.  Though these artifacts can be told by simply looking at the model characteristics (variables and coefficients), visualization undoubtedly facilitated the understanding and explanation. This part showed the power of visualization in detecting aspects that otherwise might be missed. 

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The second part illustrated a simplified example of LUR model’s application in air quality management and risk assessment. Area with pollutant levels exceeding annual objective by Metro Vancouver were first identified, and the distribution of vulnerable population at risk was then mapped.

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The last part of this project used Moran’s I to address spatial data concerns, which from one aspect strengthened the validity of the LUR model.