Bivariate
choropleth maps display two variables on a single map by combining two
different sets of graphic symbols or colors. The main objective of a bivariate
map is to find a simple method for accurately and graphically illustrating the relationship between two spatially distributed variables. A bivariate map has potential to
reveal relationships between variables more effectively than a side-by-side
comparison of the corresponding univariate maps. The map above shows two
variables on one map of Ohio, the two variables are population and median house
value.
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