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Summarize Center and Dispersion

Summarize Center and Dispersion The Summarize Center and Dispersion tool finds central features and directional distributions.

Workflow diagram

Summarize Center and Dispersion

Examples

  • A local government is planning to open a new library for an underserved community. Centroids from block groups with the appropriate zoning and available lots have been collected. The Central feature option of Summarize Center and Dispersion, with a weight on population, can be used to choose the central block group that will serve the community best.
  • A GIS analyst is analyzing the locations of 911 calls and the locations of emergency response stations (police, fire, and ambulance). The Mean center option of Summarize Center and Dispersion can be used to compare the mean center of the emergency calls and the mean center of the response stations.
  • A crime analyst wants to determine if the median center for burglaries shifts when evaluating daytime versus nighttime incidents. The Median center option of Summarize Center and Dispersion with a group by time of day can be used to determine where crimes are happening during the day and at night.
  • A GIS analyst for a non-governmental organization is analyzing the spread of an infectious disease. The Ellipse option of Summarize Center and Dispersion can be used to model the outbreak.

Usage notes

The input for Summarize Center and Dispersion is a point, line, or area layer.

Select a summary method from the Summary types parameter.

Summary typeDescription

Central feature

Identifies the most centrally located feature in a dataset.

Mean center

Identifies the geographic center (or the center of concentration) for a set of features.

Median center

Identifies the location that minimizes overall Euclidean distance to the features in a dataset.

Ellipse

Creates standard deviational ellipses to summarize the spatial characteristics of geographic features: central tendency, dispersion, and directional trends. The ellipses can be sized as 1, 2, or 3 standard deviations.

The Weight by field is used to weight locations according to their relative importance. For example, stores in a retail chain could be weighted by total sales.

The Group by field is used to group features for separate computations of central features or dispersion. For example, wildlife observations taken throughout the year could be grouped by season or month.

Click Show Credits before you run your analysis to check how many credits will be consumed.

Similar tools

Use Summarize Center and Dispersion to find central features and directional distributions in your data. Other tools that may be useful are the following:

Map Viewer analysis tools

If you want to find the representative center of multipoint, line, or area features, use the Find Centroids tool.

ArcGIS Desktop analysis tools

Summarize Center and Dispersion performs the function of the Central Feature, Mean Center, Median Center, and Directional Distribution (Standard Deviation Ellipses) tools.