An election map is an example of a predominance map. An election map simply tells you which of two or more candidates has the highest total vote count.
For example, this map shows the predominant count of votes for President in North Dakota voting precincts from the 2008 election. Darker colors indicate a higher predominant vote for that party. Lighter colors indicate that party barely won the precinct. White represents an exact tie.
Republican votes are in red
Democrat votes are in blue
A campaign manager can instantly see in this map which precincts have a strong base for each party, and which precincts were more contested.
Smart mapping in ArcGIS lets anyone quickly discover patterns in data and make meaningful maps from them. You can now use smart mapping to analyze multiple columns of related data, in order to determine which has the highest, or predominant, value for each feature. Try a predominance map any time you see multiple columns of data that share a common subject and unit of measurement.
To create this map, simply choose two or more numeric attributes to compare. The Predominant Category map style determines which attribute has the largest value for each record, and shades the map symbols based on that predominance.