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A '''bivariate map''' displays two [[Variable (mathematics)|variables]] on a single [[map]] by combining two different sets of graphic symbols or colors. Bivariate mapping is an important technique in [[cartography]]. Given a set of geographic features, a bivariate map displays two [[Variable (mathematics)|variables]] on a single map by combining two different sets of graphic symbols. It is a variation of simple [[choropleth map]] that portrays two separate phenomena simultaneously. The main objective of a bivariate map is to find a simple method for accurately and graphically illustrating the [[Correlation and dependence|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.
A bivariate map is recent graphical method which is intended to convey the spatial distribution of two variables and the geographical concentration of their relationship. A bivariate choropleth map uses color to solve a problem of representation in four dimensions; two spatial dimensions — longitude and latitude — and two statistical variables. Data classification and graphic representation of the classified data are two important processes involved in constructing a bivariate map. The number of classes should be possible to deal with by the reader. A rectangular legend box is divided into smaller boxes where each box represents a unique relationship of the variables.
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