The purpose of this project was to determine if there are any geographical regions or relationship to water bodies where moose are heavily condensed in population within Aroostook County.
Project Credits: Travis Powers, Isac Quint, and Sam Beaulieu
This study examines response times for emergency vehicles to arrive on scene in Fort Kent in 2015-2016.
Project Credits: Nina C., Samuel D., Christopher J.
In the state of Maine fishing for lobster requires a license and tags. Harvest data from the Department of Marine Resources (DMR) was used to determine which town was the most productive in 2014.
Project Credits: Hayden Alley, Bruce Lord
The objective of this research was to locate areas suitable for installation of commercial wind turbines based on elevation and legal setbacks within Fort Kent.
Project Credits: Mary Marucci, Andy Pelletier, and Shane Dufour
Winner of UMFK Scholars Symposium, Student Poster Session. The project looked at mature stands of wood to see the relationship between forest type and the soil types on which they grow in Northern Maine.
Project Credits: Angela Glew, Kyle Davis, and Tony Collin
Spatial data (shapefile) was used to understand the travel patterns of a deer that has been collared and tracked in the North Maine Woods for the six week period of December 2013 to January 2014.
Project Credits: Kendra Freund, Jordan Kelly
This is a spatial analysis of bald eagle nesting sites in Aroostook County from a 2014 survey.
Project Credits: Cole Mclaughlin, Adam Caron, Garrett Wilbur
Winner of UMFK Scholars Symposium, Student Poster Session. The purpose of our project was to locate and identify rare habitat types at the highest risk for human development.
Project Credits: Charles Michaud, Timothy McDermott, and Kevin Guerette
This project examines accidental data involving bear from a spreadsheet by the Maine Department of Transportation (MDOT) for the years 2010-2012.
Project Credits: Angie Rossignol, Nathan Boynton
The forest industry in the state of Maine has markets that greatly fluctuate. This project utilizes Network Analyst to analyze the profitability of trucking from selected logging locations in the state of Maine to selected mills.
Project Credits: Shawn Cyr, Trevor Francis, Mitchell Roi
This study examined if season of year or road conditions influenced vehicle-moose collisions on three highways in Aroostook County, Maine.
Project Credits: Michael Henderson and Daniel Kent
This was an analysis of crash location and density for Aroostook County.
Project Credits: Michael San Antonio and Derek Young
The project's goal was to answer the following spatial questions: What counties had the highest and lowest number of moose and deer collisions? Where in Maine do moose and deer collisions happen more or less in relation to each other? Which types of roads have the highest reported collisions? We also compared the frequency of accidents relative to human population.
Project Credits: Bradley Hubert and Paul Cyr