Classed chloropleth maps allow for a variable within different areas to be mapped. This helps us understand the spatial distribution of this variable over larger distances. The variables that can be measured with this method are limitless, but I believe they are most effective when used with social variables. With chloropleth maps, the modifiable areal unit problem exists and can sometimes make it hard to see distributions of the variables you are examining. If the data is spatially resolute enough, the density can be mapped and even greater amounts of meaning can be pulled from the data.
In the above image, a classed cholorpleth map was created for Florida concerning the percentage of hispanic or latino populations within individual counties. As we can see, as we move into south Florida, the percentage of hispanic or latino citizens increases. Values as high as approx 57 percent are mapped!
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