Dot distribution maps are sometimes called dot density maps because they show where particular data characteristics occur. Dot distribution maps use dots or other symbols to represent the number of occurrences of a given data characteristic in a particular location. Each dot or symbol used on the map may represent a single entity (one dot = one person) or a group (one dot = 1000 people).
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