Lake Superior State University
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"LSSU has a great reputation for placing students in graduate and professional schools. Many of my classmates from LSSU are now pursuing graduate and professional studies at some of the finest universities in Canada and the United States."

"The student-faculty interaction and the ability to conduct research at the undergraduate level really helped me to achieve success in a competitive graduate program. My professors at LSSU were always interested in helping us succeed."

Luke Ferra of Sault Ste. Marie graduated from LSSU in 2006 with a degree in biology and is now working toward a master's degree in epidemiology at University of Western Ontario in London. He plans to continue his studies in the medical sciences.

Luke Fera '06
Biology Major

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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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