To theme features

Feature Themes allow you to highlight traffic emissions along streets, show power usage of buildings, compile census data, and so on.

To Theme Features

Click Manage Display (Feature Themes) to open the Feature Themes Palette.
Click (Add a New Theme).
In the Theme Parameters groups, do the following:
- Enter a name for the theme.
- Select a feature class for the theme.
- Select the feature property to theme.
  
  For example, to create a theme that compares the height of buildings, select the Buildings feature class and then select the Roof Height property. The minimum and maximum values for that property are displayed. You cannot change them.
- For Distribution, indicate the method used to determine the theme range. For details, see the "Advanced Tips" section below.
- Indicate the Number of Rules.
Under Color Range, specify the following:
- Transparency: Use the slider to indicate how much of the underlying styling you can see once the theme is applied. A higher setting makes the theme more transparent.
- Color From and Color To: InfraWorks creates a color ramp between the first color in the theme (Color From) and the Color To selection. The Preview area displays the color ramp.
- Palette Type: For details, see the "Advanced Tips" section below.
Click OK to apply the theme.

If you filtered the data in your model, only the resulting feature classes for that filter are available for theming.

The following distribution methods are available:

Method	Description
Equal	The difference between the high and low values is the same for every range. This method is easy to interpret and is useful for showing continuous data such as building height.
Standard Deviation	Features are placed in ranges based on how much their values vary from the mean. InfraWorks calculates the mean and then adds or subtracts the standard deviation to or from the mean to create the ranges.
Quantile	Each range contains an equal number of features. This method is useful for showing data in which values are evenly distributed.
Jenks (Natural Breaks)	Ranges are based on natural groupings of data values. Features with similar values are grouped. This method shows the natural groupings in the data.
Individual Values	Features are not grouped. This distribution is useful if values are not continuous, there is a fixed number of values, and many features have the same value. Use this method for theming by zoning codes.
Logarithm	Evaluates the highest and lowest value, and creates a logarithmic scale for distributing the values. This distribution is good for analyzing data distributed along multi-modal, and other non-normal curves. For example, power consumption, household income, and so on.

The following palette types are available:

Palette Type	Definition	Description
HSV CCW	Hue, Saturation, Value; Counterclockwise	Determines the interim colors between the Color From hue and the Color To hue going counter-clockwise.
HSV CW	Hue, Saturation, Value; Clockwise	Determines the interim colors between the Color From hue and the Color To hue going clockwise.
RGB	Red, Green, Blue	Determines the interim colors based on their red, green, and blue components.
User Defined	Click the browse button next to this field to see the Set Up User Defined Colors dialog box, where you can select individual colors for the elements in the color ramp.