These utility scripts allow you to complete your dataset prior to the creation of a space-time cube or to explore the variables stored in the space-time cube. The Fill Missing Values tool minimizes the impact of missing data (nulls) on subsequent analyses. The visualization tools can be used to understand the structure of the cube, how the cube aggregation process works, and also to visualize patterns over time at specific locations of interest. These tools are designed to be used in conjunction with the other tools in the Space Time Pattern Mining toolbox.
See Visualizing the Space Time Cube for strategies to allow you to view cube contents.
Replaces missing (null) values with estimated values based on spatial neighbors, space-time neighbors, or time-series values.
Visualizes the variables stored in a netCDF cube and the results generated by the Space Time Pattern Mining tools. Output from this tool is a two-dimensional representation uniquely rendered based on the variable and theme specified.
Visualizes the variables stored in a netCDF cube created with the Space Time Pattern Mining tools. Output from this tool is a three-dimensional representation uniquely rendered based on the variable and theme chosen.