Week 3 Wrap Up
We have learned several of the chemometric models in week 3.
We demonstrate the steps for the execution of the model. You will be able to apply the models such as PCA-MLR, APCS, and PMF to the recognition of patterns of the air pollutants.
You may determine the qualitative pattern recognition of the pollutants. If you need to know the qualitative source apportionment of the pollutants, PCA should be coupled with MLR and regress the dependent variable against the independent variables. If you use a data set of chemical compositions in PM2.5, the composition of PM2.5 may refer to independent variables and PM2.5 refers to dependent variables.
You have identified the limitation of the PCA-MLR and you learn that advanced APCS may help to overcome the limitation of PCA-MLR.
Lastly, you learned the application of PMF, a potential significant model in air pollution.
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