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A choropleth map (from Ancient Greek χῶρος (khôros) 'area, region' and πλῆθος (plêthos) 'multitude') is a type of statistical thematic map that uses pseudocolor, meaning color corresponding with an aggregate summary of a geographic characteristic within spatial enumeration units, such as population density or per-capita income.
Like the choropleth map from which the dasymetric map was derived, the variable being mapped is an aggregate statistical summary over a district; there is still no information given on the degree of internal variation of the variable, thus retaining the danger of interpretation issues such as the ecological fallacy and the modifiable areal unit ...
A dasymetric map is an alternative to a choropleth map. As with a choropleth map, data are collected by enumeration units. But instead of mapping the data so that the region appears uniform, ancillary information is used to estimate a more detailed distribution of the phenomenon within each enumeration unit. For example, land cover data (forest ...
A bivariate map or multivariate map is a type of thematic map that displays two or more variables on a single map by combining different sets of symbols. [1] Each of the variables is represented using a standard thematic map technique, such as choropleth, cartogram, or proportional symbols. They may be the same type or different types, and they ...
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There has been significant debate around the best approach to solve this issue with choropleth maps, and most choropleth maps today continue to make use of class breaks. [40] [39] [41] [42] Other approaches to creating classes in choropleth maps include using the Jenks natural breaks optimization, quantile, or equal class intervals. [43] [44] [45]
On a Choropleth map of median income, A dark green fill might represent an area location of a county, with hue and value being used to represent that the income is US$50,000 (a ratio property). This is an example of an ad hoc symbol with no intrinsic meaning, requiring a legend for users to discover the intended meaning.
Choropleth map showing estimated percent of the population below 150% poverty in the Contiguous United States by county, 2020 that uses the Jenks natural breaks classification. One of the most influential concepts developed by Jenks in terms of applied cartography is the Jenks Natural Breaks optimization method.