The Space Time Pattern Mining toolbox contains statistical tools for analyzing data distributions and patterns in the context of both space and time. The toolbox contains two tools: Create Space Time Cube and Emerging Hot Spot Analysis.
Create Space Time Cube takes point datasets and builds a multidimensional cube data structure (netCDF) for analysis. Emerging Hot Spot Analysis then takes the cube as input and identifies statistically significant hot and cold spot trends over time. You might use Emerging Hot Spot Analysis to analyze crime or disease outbreak data in order to locate new, intensifying, persistent, or sporadic hot spot patterns at different time-step intervals.
This tool summarizes a set of points into a netCDF data structure by aggregating them into space-time bins. The points are counted within each bin, and for all locations, the trend for counts over time are evaluated.
This tool identifies trends in the clustering of space-time point data, including new, intensifying, diminishing, and sporadic hot and cold spots.
www.esriurl.com/SpatialStats contains an up-to-date list of all of the resources available for using the Spatial Statistics tools, including the following:
- Free web seminars
- Books, articles, and white papers
- Sample scripts and case studies