The Space Time Cube Creation toolset contains tools that summarize data into a netCDF data structure that can be used as input to tools in the Space Time Pattern Analysis and Time Series Forecasting toolsets. The data aggregated and summarized into the space-time cube must have time stamps but can come from many different formats such as a set of points, panel data, related tables, or multidimensional raster layers. When the space-time cube is created, initial summary statistics and trend are calculated.
Note:
See Visualize the space-time cube for strategies on how to visualize the contents of a space-time cube.
| Tool | Description |
|---|---|
Summarizes a set of points into a netCDF data structure by aggregating them into space-time bins. Within each bin, the points are counted, and specified attributes are aggregated. For all bin locations, the trend for counts and summary field values are evaluated. | |
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Structures panel data or station data (defined locations where geography does not change but attributes are changing over time) into a netCDF data format by creating space-time bins. For all locations, the trend for variables or summary fields is evaluated. | |
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Creates a space-time cube from a multidimensional raster layer and structures the data into space-time bins for efficient space-time analysis and visualization. |
Additional resources
The Spatial Statistics Resources page contains a variety of resources to help you use the Spatial Statistics and Space Time Pattern Mining tools, including the following:
- Hands-on tutorials
- Workshop videos and presentations
- Training and web seminars
- Links to books, articles, and technical papers
- Sample scripts and case studies