An overview of the Utilities toolset

The Utilities toolset contains tools that perform a variety of data conversion tasks. These tools can be used in conjunction with other tools in the Spatial Statistics toolbox.

Tool	Description
Calculate Distance Band from Neighbor Count	Returns the minimum, the maximum, and the average distance to the specified Nth nearest neighbor (N is an input parameter) for a set of features. Results are written as tool execution messages.
Collect Events	Converts event data, such as crime or disease incidents, to weighted point data.
Convert Spatial Weights Matrix To Table	Converts a binary spatial weights matrix file (.swm) to a table.
Describe Spatial Statistics Model File	Reduces the number of dimensions of a set of continuous variables by aggregating the highest possible amount of variance into fewer components using Principal Component Analysis (PCA) or Reduced-Rank Linear Discriminant Analysis (LDA).
Dimension Reduction	Reduces the number of dimensions of a set of continuous variables by aggregating the highest possible amount of variance into fewer components using Principal Component Analysis (PCA) or Reduced-Rank Linear Discriminant Analysis (LDA).
Export Feature Attributes To ASCII	Exports feature class coordinates and attribute values to a space-, comma-, tab-, or semicolon-delimited ASCII text file.
Set Spatial Statistics Model File Properties	Adds descriptions and units to the variables stored in a spatial statistics model file.
Time Series Smoothing	Smooths a numeric variable of one or more time series using centered, forward, and backward moving averages, as well as an adaptive method based on local linear regression. After smoothing short-term fluctuations, longer-term trends or cycles often become apparent.