Emissions of greenhouse gases (GHG) by industries have been increasing at an exponential rate in the past century. As these emissions increase in number of sources, as well as amount of output, the impact on the environment becomes more significant. However, the United States relies heavily on industry for creation of new products, materials, and economic factors such as employment. Industries attract employment opportunities, which in return attract living accommodations. The basis of this project was to see if there is any spatial correlation between GHG emissions and income of households (within a county) of a GHG emitter. Using Geographical Information Science (GIS), we are able to search for a correlation between lower class households and amounts of GHG emissions. After processing the data, we are able to show that there is no trend in GHG emissions and the proximity to lower class households. Towards the end of the project, we were able to see an extremely slight trend of lower amounts of GHG emissions near upper class households. The project also provides the statistics, or any autocorrelation, of the data for significance testing to determine whether or not there is a probability of the relationship. The statistics provided will be the R2 value, regression, and correlation.
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