Week 6: Map 2

Once again the hardest part of the lab for me the statistics. I also started out with a bad projection and did not have time to adjust so the states might look a little off. The grayscale also looked better in Illustrator than once posted to the blog.

Week 6: Map 1

Map 1 shows the percentage change in poulation using natural breaks data classification for the continental U.S., Alaska and Hawaii. Once again I am having problems with finding the right projection.

Percentage of Hispanics in Central and South Florida

This is a map showing the percentages of Hispanic Populations throughout Central and Southern Florida using various scaled geographic references. Another way to portray this would have been to use insert maps though I thought it would have gotten too cluttered. I do not know why the jpeg came out so small.

Florida Keys Map

This is a map of the Marathon area of the Florida Keys with several main features labeled using Adobe Illustrator CS4. I have used Illustrator 9.0 for the last few years drawing basic archaeological site maps so the only difficulty was getting used to the new version of the software. I thought using guide lines for the typography was the best way to go with the current scale of the map.

Week 3: Data Classifications (Map 2)

Map 2 shows the percentage of African Americans in Escambia County, Florida using the Natural Breaks (Jenks) method. I think this was the best classification to use for this particular data because it was easy to interpret, especially in the legend, although I did not decide to round out all of the numbers in the legend to keep the data more accurate. It also takes in to account the breaks within the data unlike the equal interval method. The color scheme also is more clustered in areas of the county making it easier to understand as a division within a population.

Week 3: Data Classification (Map 1)

Map 1 consists of four different data classifications showing the percentage of African Americans in Escambia County, Florida. The difficulty came with finding which normalization to use and how to interpret the data to make sure I was getting the right percentage and breaks.