Smart map styles

When you use a smart map style, the available options depend on the type of data you are mapping (points, lines, or polygons) or type of data attributes (numbers, categories, dates, and so on) that you select. Each style helps you to answer questions with the data.

Learn more about smart map styles in the ArcGIS tutorial series Smart mapping styles in Map Viewer.

The following table provides a reference of the smart map styles available and some of the questions you can answer using each style:

Data type or attribute and exampleQuestionSmart map style

Location only

Examples:

  • Retail locations (points)
  • Rivers or roads (lines)
  • City boundaries (polygons)
  • What kind of features are on this map?
  • How is the data distributed geographically?

Location only

Examples:

  • Customer addresses (points)
  • Traffic incidents (points)
  • Rainfall > 1.0 inches (24-hour) (points)
  • Where is the data clustered?
  • Where are areas that lack data or incidents?

One numeric data type

Examples:

  • Building height
  • River length
  • Household income
  • Can I compare data features to each other based on their numeric values?
  • Where are the highest and lowest values in the data geographically?

Compare two numeric data types

Examples:

  • New businesses to businesses older than 5 years
  • Health insurance rate to hospitalizations
  • Are there any outliers in the data?
  • Where is the relationship pattern the strongest or weakest?

One non-numeric data type

Examples:

  • Retailer by type
  • Highways by type
  • Language spoken at home
  • How is the data distributed or summarized by category?
  • How can I group data outliers?

One numeric and one non-numeric data type

Examples:

  • Income level and occupation type
  • Water volume per water network
  • Building location and seismic rating
  • Where are the highest and lowest values?
  • How is the data distributed by category?