A bivariate map visually represents the relationship between two different data variables on a single map layer, often using color combinations or symbols to show how one variable correlates with another.
Purpose
Bivariate maps show where two variables tend to be in agreement or disagreement. Use a bivariate map when you have a theory that two variables might be related. For example, you may want to see where health outcomes (e.g., diabetes rates, life expectancy) and community conditions (e.g., federal poverty level) are both poor or you may want to see where hospital readmissions are high, but community conditions (e.g., median household income) are good.
Type of Bivariate Map
Conduent HCI supports the creation of choropleth maps which are a common type where colors are used to represent combinations of two variables across geographic areas.