Using the tools in the Space Time Cube Creation toolset, you can summarize your data into a netCDF data structure that can then 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.
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.
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.
Takes panel data or station data (defined locations where geography does not change but attributes are changing over time) and structures it into a netCDF data format by creating space-time bins. For all locations, the trend for variables or summary fields is evaluated.
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.
The Spatial Statistics Resources page at https://www.esriurl.com/spatialstats 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