Air Pollution, Race, and Income-Environmental Justice

Topic: Air Pollution, Race, and Income-Environmental Justice
Order type: Coursework
Subject: Sociology
The unit of analysis will be the counties in the state, so choose a state with enough counties with data to make a case.
1. Tabular: Provide tables of the data that make an argument about the distribution of exposures.

2. Geographic: Map the incidence of air pollution, as indicated in the dataset, by plotting the rank of monitoring sites (in air quality) on top of the included demographic data.

3. Graphical: Graph the data in a way that illuminates one or more of the relationships within the state.

4. Statistics: Provide a statistical measure of the distribution of pollution in that state. The best measure to use here would be a “non-parametric” measure of correlation, like the Spearman Rank Correlation. If using Excel, it may be simplest to do straightforward correlation analysis. More advanced students of statistics may wish to use regression with several independent variables.
The data are on the b-space site in an excel file called DATA_BASE-2.xlsx. The data is for Particulate Matter (PM10), a Clean Air Act regulated pollutant. All the data has been adjusted to ensure that the above listed forms of analysis are appropriate. The main adjustment has been to take the logarithmic mean of ambient readings to ensure that they are more “normally” distributed by statistical standards.