An overview of the Space Time Cube Creation toolset

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.

ToolDescription

Create Space Time Cube By Aggregating Points

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.

Create Space Time Cube From Defined Locations

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.

Create Space Time Cube From Multidimensional Raster Layer

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


In this topic
  1. Additional resources