Final Project

Map Blog Post #10 Bivariate

 I think this is a very interesting Bivariate map. Proportional symbol and dot density are not commonly combined. Also the dots are separated into two categories and different colors and shapes. Does this then make it a trivariate map? I am assuming it is an older map because it is making an estimate of what the population will be in the 1970 census. I do not think the dots should be colored red with the orange proportional symbols because it blobs a bit. I would have used blue or green for contrast. 

Map Blog Post #9 Dot Density

This is a map of diagnosed cases of HIV for Thai men between 18-28. I chose this map because you often don't come across maps of Thailand very often on the internet. Secondly I think the population clusters are interesting because of the countries unusual geography.

Lab 10 Bivariate

This is my chloropleth combination map of North Carolina. This maps the average acreage per farm in comparison to the county population.

Map Blog #8:Isoline

This map is from the Texas Water Development Board. I see more of what is wrong with this map than what is right. First, the lines themselves are very rectangular and straightedge. I don't like the lack of curvature, but also the stroke of the line is too bold and it overwhelms the county and city boundaries. Also the number cutoffs are at strange intervals, especially in the East. The color guide is good but the shades of blue are too similar. 60 inches makes a very small section that you cannot even see. If it the intervals were grouped around 6-8 inches it would make the map flow easier.

Map Blog #7 Symbology

This map is interesting for a few reasons. One it is using states only west of the Mississippi River. Second it uses a 3-d spherical shape for the symbology which is not seen very often. The display in terms of the shapes combined with the statistics is done very well, but I do not like the red and white radial pattern in the title and the spheres.

Lab 9 Dot Density

Here is my dot density map of the Irish Population of West Virginia based along the population patterns of the state.

Lab 8 Isoline

This is my lab 8 Isoline Map

Project Proposal

The subject of my map will be mapping all 20 soccer teams in the Barclay's English Premier League. I want to map the location of these teams for an American Sports fan audience, who probably doesn't know anything about English soccer culture. For example there are 5 teams in London alone! There is a lot of data I could find for each club. One interesting factor could be player payroll, stadium capacity, or trophies won in a time span (you can win more than 1 trophy in a season). Below is a really complex map that somebody created of all the clubs of MLS. I cannot make anything this awesome, but there are a lot of ways I can fit data. All I will need to start will be a base map of England and Wales (can't forget Swansea!) and maybe a base map of the city of London in case I cannot fit all the London clubs on the bigger map.

Blog Map Post #6: Color

I really like this map of Europe. The color of each country is represented by its representative flag. It gets really confusing with Corsica and Sardinia and the Balkans look really jumbled. Also I think the borders around countries with similar color borders need to have a line that stands out more.

Blog Map Post #5: Chloropleth

This map was most likely done by a student but I still think it is very good. Pittsburgh is a very interesting city that has gone through a lot of demographic and physical changes in the past few decades. This map shows the population changes in all of the neighborhoods within the Pittsburgh city limits. The decrease in the Central Business District is no surprise to me because, well it is a business district. Not many people tend to live in those. Mount Washington is a bit surprising because it is a lovely neighborhood with a prime view of the city below. Oakland is another neighborhood that has changed over the years for an area that in the 1920s was mostly inhabited by low income immigrants. The only issue I have with the map is how the dashes to distinguish range and negative growth in the legend are confusing.

Blog Map Post #4: Campus Map

This may be one of the most complicated college maps ever. But it is mostly because there is so much that you have to fit! UT Austin is a HUGE campus! When I visited Austin I walked around campus for a couple of hours, only to realize I didn't see anything close to most of the campus. I also like the 3-D aspect of the map. The buildings with unique architecture and of larger size stand out, as they do when you are standing on campus.

Blog Map Post #3 Type

I think that this is a really cool type map. DC is a weird city to map because of the way the roads are laid out. This map is nicely done. I like how Dupont and Logan circles are labeled, as well as Rock Creek Park and Georgetown University. In addition I appreciate how the letters in the Potomac River are rippled to look like the flow of water.

Blog post 2

I've been slacking on these...

This is an Equidistant Conic projection. I chose it because it looks nice on the web, but a paper Conic map is a pain. There is no easy way to fold it! However they are fairly accurate.

Lab 7

This map projects the proportion of the numbers of farms with bee colonies. I was browsing through USDA data and stumbled upon a document with data on bee colonies. I am terrified of bees so I am not sure why I decided to map data related to them. Maybe it was so I know what counties to avoid going to.

Lab 3

This is a map that I replicated of Harper's Ferry National Historical Park. This was an exciting lab for me because of my familiarity with the area. 

Lab #2

The following image is a scaled down image of a Mollweide Graticule.

First Lab (Fantastic...)

This photo is a static, topographic map of the Big Meadows area of Shenandoah National Park. Displayed on the map are topographic elevation changes, hiking trails, roads, and park facilities. I chose this map because it is my favorite place in the National Park.