Peer review:

Bivariate Map of North Carolina:

Dot Density of Law Enforcement Officers in West Virgnia

Smerg

Final Project

       For my Final Project I would like to map the location of runners on a memorial running team started and organized by my girlfriend in honor of her brother who was killed in Afghanistan in 2010. There are runners all over the country who either knew him from the Marine Corps or know the family, and I think it could be really cool to show the team where everyone else on the team is located.
       Primarily, the audience for this map would be the members of the team. There are about 60 people who run, many of whom were recently in town for the Marine Corps Marathon and 10K. I think that this will probably work best as a dot density map because many runners are clustered around military bases or DC and it would probably display their distribution quite nicely.
       This map would most likely be of the lower 48. There have been runners from Hawaii and runners representing in Afghanistan and France, but I will most likely use data from the race last month, not all the runners over the last 4 years.
       The data shouldn't be too hard to compile. My girlfriend keeps spreadsheets of peoples mailing addresses because she sends out t-shirts, and this will probably be the source for the majority of my data.
       I will use a base map of the united states, possibly in the round. I think that those look really neat and would like to try it. The globe leaves room for text, which I may add since I am planning to use this map outside the classroom.

       The steps I anticipate are data collection, map making, and polishing. I will delineate between Marathon runners and 10K runners to add a little flavor to the map, and after reviewing my data it looks like there may be some interesting spatial distributions.
       Challenges I anticipate include accurately plotting dots, finding a base layer that I like, and adequately explaining what I am trying to show without cluttering my map.

The digital version of my map looks better because the color variations are more noticeable. The printed version ends up with one really bright blue, which I don't care for. Also, my neat little corner brackets got cut when I printed. The color back ground looks pretty even, but the printer didn't quite get it right.

This colored map shows how long it takes to reach places. http://bioval.jrc.ec.europa.eu/products/gam/index.htm

Lab 4

More markers

These are some points I found in the sidewalks of New York City.

Campus Map

Lab 3

This is the Geodetic Survey Reference Mark from the top of the hill that my home town is named after; Blue Hill, Maine.

Old map of Mt. Desert Island

This ridiculously large map is from around 1887, detailing Mt. Desert Island. I'm originally from this area, and it is pretty funny to see what the mountains used to be named. I was not expecting the individual houses to be labeled with the names of the owners. The island burned in 1947, destroying many old-money New England mansions. This map probably includes many of the houses that burned, almost as prominently as is names some lesser land marks.

Fox_Lab2

I like this image because it's a fun way to look at the world. Turing the globe to see as much water as possible shows how big the Pacific really is, as well as the concentration of landmass on the other side of the planet.

Fox_Lab1

       This map shows car accidents involving moose and deer in Maine. Most people have never even seen a moose, but this map makes it pretty clear that they are out there. Of course, the accidents occur on well traveled roads. A detail that would help improve understanding of the context is that, with the exception of Alaska, Maine is the most forested state.