An overview of the Utilities toolset

The Utilities toolset contains tools that allow perform a variety of data conversion tasks including tools that complete and estimate missing values in a dataset prior to the creation of a space-time cube and smooth time series data. The Fill Missing Values tool minimizes the impact of missing data (null values) on subsequent analyses. The Time Series Smoothing tool can help smooth out irregularities in order to better see patterns and trends in your data. These tools are designed to be used in conjunction with the other tools in the Space Time Pattern Mining toolbox.


See Visualize the space-time cube for strategies that allow you to view cube contents.

The Space Time Cube Explorer add-in available on the Spatial Statistics Resources page can also be used to visualize space-time cube contents and analysis results in 2D and 3D by automatically setting up time and range sliders and providing a variety of display theme options.


Fill Missing Values

Replaces missing (null) values with estimated values based on spatial neighbors, space-time neighbors, or time-series values.

Additional resources

The Spatial Statistics Resources page at contains a variety of resources to help you use the Spatial Statistics and Space Time Pattern Mining tools, including the following:

  • Hands-on tutorials and Learn lessons
  • Workshop videos and presentations
  • Training and web seminars
  • Links to books, articles, and technical papers
  • Sample scripts and case studies

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  1. Additional resources