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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.
The dataset should be stored at Wikimedia commons, in the Data namespace, as a tabular data (.tab) file. Currently, the file format should be JSON, representing a three column table, where the first column is the three-letter ISO country code, the second is the year and the third is the value.
Stake. Gradient maps are both at the center and at the basic level of map making on Wikipedia. A simple blank map and fill with color tool are needed. To continue to build a coherent Wikipedia display, this page suggests the most suitable SVG source files together with a blue-based color ramps from academic, screen friendly, print friendly, and color-blind friendly ColorBrewer2 by cartography ...
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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 .
feature: which geographic objects should be displayed (corresponds in the map data to the name of the field under the objects field). The default is value countries. ids of geographic entities: The actual parameter names depend on the base map and the selected feature. For example, for the above mentioned world map the ids are ISO country codes.
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. Jenks’ goal in developing this method was to create a map that was absolutely accurate, in terms of the representation of data's spatial attributes.
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 ...