![]() You may need to try several combinations of size and value to show the best pattern. When creating a dot density layer, you specify Dot Size and Dot Value the dot value is the number of features each dot represents. You can change the background symbol directly in the Contents pane in the same way. To change the dot symbol directly, click it in the Contents pane, or right-click the symbol to change only its color. To draw a polygon feature layer with dot density symbology, follow these steps: ![]() For these reasons, you cannot specify real-world units for the symbol size of the dots. ![]() You cannot apply dot density to a layer in the 3D category of a scene, and you cannot drag a layer drawn with dot density symbology into the 3D layer category. The 2012 population per United States county is drawn with dot density symbology in gray over the states, shown in light orange. This gives a better indication of where people actually live than if the dot density symbology were applied to the coarser states polygons instead. Then, overlay this layer over a coarser-grained categorization polygon layer, such as the states in the United States, symbolized with single-symbol symbology. To mimic a natural data distribution, a good approach is to symbolize a fine-grained polygon dataset, such as United States counties, with dot density symbology using a completely transparent polygon symbol. The dots are equally sized, even when multiple fields are symbolized together in a layer. Each dot represents a constant number of things, people, or other quantifiable phenomena. Instead, quantitative values for one or more fields are represented as a collection of point symbols (typically solid circles or dots) in each polygon. With dot density symbology, the data you symbolize is not classified.
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