GIS is a powerful technology for managing, analyzing, and visualizing spatial data.  Using these capabilities, GIS allows us to think about problems more broadly in a spatial context, and provides us with tools to answer questions such as:  Where is something?  Why is it there?  How is it related to the things around it?  Why should we care?”

The disciplines where GIS can be found are broad and varied, and include such diverse fields as Public Safety, Environmental Management, Business and Retail, Insurance and Banking, Government, and Education, just to name a few.  The subject areas that benefit from GIS are equally as varied, and include applications such as crime analysis, 9-1-1 response, emergency management services, wildlife management, water monitoringforestry, natural resource conservation, recreation, site location, delivery systems, routing, transportation, communication, mining, logistics, healthcare, election planning, agriculture, real estate, urban planning, national mapping, and military operations.

Within the environment of higher education, GIS can play a daily role in almost all aspects of campus activities, including teaching, research, admissions and student enrollment, development and fundraising, career counseling, campus operations, and public safety.  Indeed, there is perhaps no aspect of life at an academic institution – be it teaching, research, or administration – that could not benefit from incorporating some aspect of spatial thinking.


How do we use GIS at Dickinson

Well, we use GIS to answer questions, solve problems and have some fun.  GIS has applications in all of Dickinson’s departments and we are currently working in environmental studies, earth sciencearcheology, history, international business and biology. In addition, GIS is used several administrative offices, including admissions, facilities management and the office of college advancement.

GIS Lab Hours

M: 8:30am - 5pm
T: 8:30am - 5pm
W: 8:30am - 5pm, 7pm - 9pm
R: 8:30am - 5pm, 6pm - 9pm
F: 8:30am - 1:30pm


News and Events

  • Detail for Maps of North Korea

    On January 29, 2013, Google Maps revealed new map information for North Korea.  North Korea is the last country in the world to get detail on their google map.  Google was able to provide detail for North Korea with help from “citzen cartographers,” who are people on the ground in the city who send in data to Google by using Map Maker, which allows users to edit maps on Google.  The detail that Google has been able to provide for North Korea centers around the capital, Pyongyang.  Such places as important landmarks, hotels, schools, and hospitals are shown, as well has the major roads.  The map also highlights four areas in grey, which represent suggested gulag sites.  Beyond the capital, the map of North Korea is still lacking any detail.  Google hopes to build on this foundation and continue filling in information on the blank areas for North Korea. Read more:  http://www.nytimes.com/2013/01/30/world/asia/google-maps-new-target-secretive-north-korea.html?_r=0 http://news.nationalgeographic.com/news/2013/13/130131-world-google-maps-north-korea-cartography/ Look at ...

Latest Student Projects

  • Temperature- Dependent Sex Determination (TSD) of Painted Turtles, Chrysemys picta

    The project that I have been undertaking during the spring 2014 semester is based on Professor Scott Boback’s research on Painted turtle nesting at a man-made pond located in Cumberland County, Pennsylvania. The specific study site is located at the Hunstsdale Fish Hatchery in Huntsdale, Pennsylvania. The sex of an embryo is temperature-dependent and has a spatially relevant factor as to where nests are located. Nest sites and attempted sites are constrained between a railroad and pond, creating a highly spatially restricted data sample. The data will be geographically and temporally organized and then displayed in relation to temperature readings from a recording device (ibuttons, Embedded Data Systems). There was a set of sixteen active nest sites, which could be correlated to ibutton data based on date and time. Furthermore, an Inverse Weighting Distribution was used within a minimum-bounding rectangle to better interpret the variation in temperature spatially ...