ArcGIS Desktop

  • ArcGIS Pro
  • ArcMap

  • My Profile
  • Help
  • Sign Out
ArcGIS Desktop

ArcGIS Online

The mapping platform for your organization

ArcGIS Desktop

A complete professional GIS

ArcGIS Enterprise

GIS in your enterprise

ArcGIS for Developers

Tools to build location-aware apps

ArcGIS Solutions

Free template maps and apps for your industry

ArcGIS Marketplace

Get apps and data for your organization

  • Documentation
  • Support
Esri
  • Sign In
user
  • My Profile
  • Sign Out

ArcMap

  • Home
  • Get Started
  • Map
  • Analyze
  • Manage Data
  • Tools
  • Extensions

An overview of the Space Time Pattern Mining toolbox

  • Additional resources

The Space Time Pattern Mining toolbox contains statistical tools for analyzing data distributions and patterns in the context of both space and time. It includes a toolset for visualizing the data stored in the space-time netCDF cube in both 2D and 3D.

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 the Emerging Hot Spot Analysis tool to analyze crime or disease outbreak data in order to locate new, intensifying, persistent, or sporadic hot spot patterns at different time-step intervals. The Utilities toolset contains tools for visualizing the data stored in the space-time cube in two and three dimensions. These visualization tools can be used to understand the structure of the cube, how the cube aggregation process works, and also to visualize the patterns over time at specific locations of interest. See Visualizing the Space Time Cube for strategies to allow you to look at cube contents.

ToolDescription

Create Space Time Cube

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 over time and summarized attributes are evaluated.

Emerging Hot Spot Analysis

Identifies trends in the clustering of point counts or attributes in a netCDF space-time cube. Categories include new, consecutive, intensifying, persistent, diminishing, sporadic, oscillating and historical hot and cold spots.

Space Time Pattern Mining Tools

ToolsetDescription

Utilities toolset

This toolset contains tools for visualizing the variables stored in a netCDF cube.

Additional resources

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:

  • Tutorials
  • Videos
  • Free web seminars
  • Books, articles, and white papers
  • Sample scripts and case studies

Related topics

  • Create Space Time Cube
  • How Create Space Time Cube works
  • Emerging Hot Spot Analysis
  • How Emerging Hot Spot Analysis works
  • Visualizing the Space Time Cube
  • Space Time Pattern Mining toolbox history
  • What is geoprocessing?

ArcGIS Desktop

  • Home
  • Documentation
  • Support

ArcGIS Platform

  • ArcGIS Online
  • ArcGIS Desktop
  • ArcGIS Enterprise
  • ArcGIS for Developers
  • ArcGIS Solutions
  • ArcGIS Marketplace

About Esri

  • About Us
  • Careers
  • Esri Blog
  • User Conference
  • Developer Summit
Esri
Tell us what you think.
Copyright © 2019 Esri. | Privacy | Legal