This week, we worked on bivariate choropleth mapping and proportional symbology. Below is a bivariate map I created to show the relationship between the percentage of inactivity and the percentage of obesity in the United States.
I think bivariate mapping creates the best visual example of
mapping the relationship between two variables that I have ever seen and worked
with. Provided the correlation is
strong, this form of mapping condenses so much information into an image that
is both easy to understand and pleasant to look at. I am very thankful for the opportunity to
learn this mapping technique because I think it will be very useful in my
future endeavors, whatever they may be.
Instead of having to read a lot of text and look at multiple keys to
understand a two-variable relationship, a map like this allows you to gain a
solid understanding from a relatively quick glance. And the greatest effect comes from a solid
understanding of color and the ability to turn map items into graphics for free
arrangement. I had never done this
before this lab and I find it much easier to work with, although probably more
limited in scope, than Adobe Illustrator.
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