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The choropleth is likely the most common type of thematic map because published statistical data (from government or other sources) is generally aggregated into well-known geographic units, such as countries, states, provinces, and counties, and thus they are relatively easy to create using GIS, spreadsheets, or other software tools.
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.
scaleType: supported values are linear for a linear mapping between the data values and the color scale, log for a log mapping, pow for a power mapping (the exponent can be provided as pow 0.5), sqrt for a square-root mapping, and quantize for a quantized scale, i.e. the data is grouped in as many classes as the color palette has colors.
Gradient maps (scientific name: Choropleth) are a light and basic visualisation of spacial areas and their associated values for a single thematic issue, by example the population density by country. Gradient maps need 3 key things: 1. a solidly sourced list of regions⇔values for one issue, 2. a map displaying these regions, 3. a sequential ...
Maps are useful in presenting key facts within a geographical context and enabling a descriptive overview of a complex concept to be accessed easily and quickly. WikiProject Maps encourages the creation of free maps and their upload on Wikimedia Commons. On the project's pages can be found advice, tools, links to resources, and map conventions.
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 ...
This template creates an interactive world choropleth map, indicating some statistical value with different colors for different countries and years.The "play" button imports the dataset and starts the interactivity.
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.