Tuesday, November 18, 2014

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.

Thursday, November 13, 2014

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.

Tuesday, November 11, 2014

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.

Tuesday, November 4, 2014

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.