Multivariate map: Difference between revisions

Revision as of 08:31, 8 November 2020

Revision as of 08:32, 8 November 2020

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A '''bivariate map''' (or '''multivariate map''') is a type of [[thematic map]] that displays two or more [[Variable (mathematics)|variables]] on a single [[map]] by combining two different sets of [[Map symbol | symbols]].<ref name="slocum2009">T. Slocum, R. McMaster, F. Kessler, H. Howard (2009). Thematic Cartography and Geovisualization, Third Edn. Pearson Prentice Hall: Upper Saddle River, NJ.</ref>{{rp|331}} Each of the variables is represented using a standard [[thematic map]] technique, such as [[Choropleth map | choropleth]], [[cartogram]], or [[Proportional symbol map | proportional symbols]]. They may be the same type or different types, and they may be on separate layers of the map, or they may be combined into a single multivariate symbol.

The typical objective of a multivariate map is to visualize any statistical or geographic [[Correlation and dependence|relationship]] between the variables. It has potential to reveal relationships between variables more effectively than a side-by-side comparison of the corresponding univariate maps, but also has the danger of [[InformationCognitive overload]] when the symbols and patterns are too complex to easily understand.

==History==