The space-time cube layer allows you to quickly visualize and explore the variables and analysis results in your space-time cube. The layer gives you access to a gallery with several display theme options that you can use to visualize the contents of your space-time cube. These display theme options include preset symbology that enhances the variables and analysis results, making it more intuitive to explore the data. The display theme varies for each analysis and those that are available in the gallery will depend on the analysis that was performed on the selected variable from the space-time cube.
Accessing the display theme gallery
To access the display theme gallery, you must first use the Make Space Time Cube Layer tool to create a space-time cube layer from a space-time cube.
Learn more about working with space-time cube layers
The space-time cube layer activates a space-time cube contextual ribbon when it is selected in the Contents pane. The Theme gallery is located in the visualize section of the ribbon.
Note:
Although you can create and visualize several space-time cube layers in the same scene and at the same time, it is recommended that you only visualize one space-time cube layer at a time. This improves the drawing speed, reduces the impact on your computer’s resources, and reduces the risk of unexpected interactions between the 3D layers and their range and time sliders.
Display theme options
The display theme options are 3D presymbolized themes to visualize the selected variable and its analysis results. Selecting a display theme will update the visualization of the space-time cube layer in the scene. The contents of the theme gallery will change depending on the variable selected and the type of analysis performed.
Note:
Large space-time cubes may require more than a minute to display, depending on your computer’s resources. If you encounter slow rendering or excessive draw requests, consider trying the following:
- Use a point representation of the space-time cube layer rather than polygon.
- Limit the processing extent when creating the space-time cube layer.
- Use the Visualize Space Time Cube in 2D tool to create a 2D representation of the space-time cube.
Cube Values
The display themes in the Cube Values section allow you to visualize the raw cube values and the locations with estimated bins.

Variable Value
The Variable Value theme displays the space-time bins symbolized by the values of the cube variable selected. You can set the Range Options drop-down menu in the space-time cube ribbon, then adjust the range slider values to display only those space-time bins with selected cube variable values that fall within a certain range.

Estimated Bins
The Estimated Bins theme displays the space-time bins symbolized by whether they were estimated (orange) or contain true values (gray). This allows you to explore patterns of estimated (imputed) values across space and time. Values will be estimates if Summary Fields or Variables values were aggregated when the space-time cube was created by the Create Space Time Cube By Aggregating Points or Create Space Time Cube From Defined Locations tool. This option is not available for the raw COUNT variable in any space-time cube because the COUNT variable is never an estimate.

Local Outlier Analysis
The display themes in the Local Outlier Analysis section allow you to visualize the analysis results from the Local Outlier Analysis tool. Use these themes to explore the statistically significant clusters and outliers across space and time.

Local Outlier Type
The Local Outlier Type theme displays the space-time bins symbolized by the cluster-outlier type of the selected cube variable. Use this theme to locate statistically significant (at the 95 percent confidence level) clusters and outliers.

Local Moran's I
The Local Moran’s I theme displays all the space-time bins in the cube symbolized by their Local Moran’s I index value. Positive index values (purple) indicate that a feature has neighboring features with similar values whereas negative index values (green) indicate the feature has neighboring features with dissimilar values.

Local Outlier Z-Score
The Local Outlier Z-Score theme displays all the space-time bins in the cube symbolized by their z-scores. Set the Range Options drop-down menu then use the range slider to explore a specific level or range of clustering intensity.

Local Outlier p-value
The Local Outlier p-value theme displays all the space-time bins in the cube symbolized by their p-values. Set the Range Options drop-down menu then use the range slider to explore a specific level or range of statistical significance.

Emerging Hot Spot Analysis
The display themes in the Emerging Hot Spot Analysis section allow you to visualize the results from the Emerging Hot Spot tool so you can explore the distribution of hot spots and cold spots across space and time.

Hot Spot Type
The Hot Spot Type theme displays the space-time bins symbolized by the hot spot type of the selected cube variable. Bins are colored by their hot spot significance.

Hot Spot Z-Score
The Hot Spot Z-score theme displays the space-time bins symbolized by their z-scores. Set the Range Options drop-down menu, then use the range slider to explore a specific level or range of hot spot intensity.

Hot Spot p-value
The Hot Spot p-value theme displays the space-time bins symbolized by their p-values. Set the Range Options drop-down menu then use the range slider to explore a specific level or range of statistical significance.

Change Point Detection
The display theme in the Change Point Detection section allows you to visualize the results from the Change Point Detection tool so you can explore when change points occur.

The Change Points theme displays all the space-time bins and highlights the bins in each location where a change point is detected.

Time Series Forecast
The display themes in the Time Series Forecast section allow you to visualize the forecast results from the tools in the Time Series Forecasting toolset.

Forecast Result
The Forecast Result theme displays the space-time bins symbolized by the predicted values of the selected variable.

Residual Value
The Residual Value theme displays the space-time bins symbolized by the residual value. The residual is the difference between a bin’s original value and fitted value.

Time Series Outliers
The Time Series Outliers theme displays all the space-time bins and highlights the outlier bins at each location in the input space-time cube. This theme only applies to space-time cubes that are output by the tools in the Time Series Forecasting toolset and that set the Outlier Option parameter value to Identify outliers.

Exponential Smoothing Forecast
The display themes in the Exponential Smoothing Forecast section allow you to visualize the results from the Exponential Smoothing Forecast tool so you can explore the components of the decomposed time series.

Level Component
The Level Component theme displays the level component value of each bin.

Trend Component
The Trend Component theme displays the trend component value of each bin.

Season Component
The Season Component theme displays the seasonal component value of each bin.

Level + Trend Component
The Level + Trend Component theme displays the sum of the level and trend component values of each bin.
