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Judgments based on bubble sizes can be problematic regardless of whether area or diameter is used. For example, bubble charts can lead to misinterpretations such as the weighted average illusion, [4] where the sizes of bubbles are taken into account when estimating the mean x- and y-values of the scatterplot. The range of bubble sizes used is ...
Create a new map image and upload it to Wikimedia commons or find an existing map on the same site. Create a module named Module:Location map/data/location, copy the content below into it and substitute the appropriate values. Create a page named Module:Location map/data/location/doc and follow the instructions under #Documentation. As an ...
Inset maps may serve several purposes, such as showing the context of the main map in a larger area, showing more detail for a subset of the main map, showing a separated but related area, or showing related themes for the same region. A bar scale or other indication of scale translates between map measurements and real distances.
In Wikimedia Commons, create a page in the Data: namespace with the .map extension, like Data:COTA10.map; When you create the page, replace the 'Data' placeholder (including the two brackets) with the GeoJSON you copied. Uncomment the line "license": "ODbL-1.0", // ODC Open Database License v1.0 and save the page.
cluster heat map: where magnitudes are laid out into a matrix of fixed cell size whose rows and columns are categorical data. For example, the graph to the right. spatial heat map: where no matrix of fixed cell size for example a heat-map. For example, a heat map showing population densities displayed on a geographical map; Stripe graphic ...
Inset maps are smaller maps that are included on the same page as the main map. They can show additional information related to the main map. Four types of inset maps are common: [6] A Locator map is of a significantly smaller scale than the main map, and is used to show the location of the main map within a larger context. They are especially ...
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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 .