Lake Superior State University
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"My two business degrees from LSSU were instrumental in preparing me to work at all levels of Edison Sault Electric (ESE), concluding with the privilege of becoming ESE President in 1998. My company also takes pride in that 14 out of a total of 17 management personnel and about 20% of hourly employees at ESE either have degrees from or have attended a substantial number of classes at LSSU. Finally, our company and employees have contributed in excess of $500,000 to various LSSU projects over the last 25 years. ESE Believes in Blue."

Don Sawruk '70
Edison Sault Electric Company
President and CEO
Sault Ste. Marie, MI

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A Spatial Analysis of Greenhouse Gasses and Household Income

Scott Sowers

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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