Lab 8: Isoline Map

Lab 8: Isoline Map

Lab 7: Symbols Map

This lab was originally a proportional symbols map, but due the extremely large range of values for my data, I ended using a graduated symbols map, with a different color for negative values.

Example of an Interesting Color Map

This map, which relates education level to income, is a very interesting example of color. It layers three different monochromatic maps of different information in order to show how they relate. It is an interesting concept, but it does have some confusing areas, where one can't tell which colors are mixing and how dark or light they originally were.

source (with zoom abilities):
http://awesome.good.is/transparency/web/1101/census-data/flat.html

Lab 6: Color Choropleth Map

Lab 6: Color Choropleth Map

When comparing this online post of my color map with the printed version, there are noticeable changes in the colors. The background in my post is darker and more prominent than in the printed version, where it is much lighter and less distracting. For the values, the second to lightest green (.00031-.00060%) is the most dramatic change, it looks slightly darker online than on paper. The lightest value and darker values look the least changed. 

Lab 5: Grayscale Choropleth Maps

Lab 5: Grayscale Choropleth Maps 

For my two versions I did a natural-breaks map and an equal-interval map.  There is a significant difference between the two. The natural breaks map seems to have a more even distribution between the five classifications, while the equal interval map has a high concentration in two of the classifications, and only a few in the others. The natural breaks map looks better aesthetically to me, but it might have misleading information. The even interval might be better, because it gives a more realistic view of the information, which is that many states have about the same ratio of exotic animal incidents. 

Example of a Choropleth Map

An example of a Choropleth Map:

HIV Epidemic among Young Thai Men, 1991–2000

Figure 2. Choropleth maps of HIV prevalence in four classes of young men at time of entry into the Royal Thai Army, Thailan, 1991-2000. Location determined by residence during the previous 2 years. Prevalence is stratified by color and localized to district or group of districts so that calculations are based on > 20 men

Kalyanee Torugsa*, Scott Anderson†, Nucharee Thongsen*, Narongrid Sirisopana*, Achara Jugsudee‡, Pitak Junlananto‡, Sorachai Nitayaphan*, Suebpong Sangkharomya*, and Arthur E. Brown* 

Author affiliations: *Armed Forces Research Institute of Medical Sciences, Bangkok, Thailand; †State University of New York at Cortland, Cortland, New York, USA; ‡Army Institute of Pathology, Bangkok, Thailand

Source: http://wwwnc.cdc.gov/eid/article/9/7/02-0653-f2.htm