My final version of this map was made to match my presentation and current style. In both maps I wanted to focus on a few things as opposed to including layers and layers of data. Here we can see what I think are the four most important things to a county: town halls, major roads, bodies of water, and the town subdivisions. 

This map was where I started developing my style. I wanted my work to look like it could be at home in a journal, magazine or website, so I focused on giving my maps a polished and modern look to it, which I also ended up incorporating to the map I edited for my presentation. In both maps I found the distribution of pollution sites to be interesting, as it's mostly around the middle of the county itself.

The third product we had to turn in was a choropleth map showing the distribution of race or ethnicity at the census tract level in our county.  I found this map exceptionally challenging because of the stark difference in demographics. The enumeration units aren't exactly comparable, but I wanted to keep the color schemes identical either way for the visual effect they would have on anyone looking at the map.

The version that made it into my presentation is quite similar with only a few tweaks, most notably the size difference between the two layouts. Of my maps, this layout has to be my favorite one. I enjoy how all the information I included is quickly accessible. 

The most important of the maps we made in this course is this one right here, a bivariate choropleth map showing the relationship between air pollution and population density by race. I went with this pink and blue color scheme because it kept the cool toned colors I've been using for my features in other maps. As you can see, my data for Norfolk County doesn't adhere to the broader country-wide statistics that show minority populations being the most affected by pollution. The pattern is a bit difficult to read, but it follows the same layout on the census tracts as the TRI map points did, with that spread over the middle of the county itself. 

The one I included in my presentation was bigger, of course, but I also added back some of the detail I'd removed and changed up the colors to be more muted. I wish I'd kept the Massachusetts Bay label on this one, however. 

Finally, we had to use Tableau Public to create a basic linked map and chart that would enable users to interactively see the relationships between the variables. The Viz I've embedded is the one I submitted in as a draft, since it's the one that will actually fit on this webpage.