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 |
---|---|

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. | |

Converts event data, such as crime or disease incidents, to weighted point data. | |

Converts a binary spatial weights matrix file (.swm) to a table. | |

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). | |

Exports feature class coordinates and attribute values to a space-, comma-, tab-, or semicolon-delimited ASCII text file. | |

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. |

##### Legacy:

The Calculate Areas tool is no longer included in the Utilities toolset because there are more efficient ways to find the area of features. Use the Calculate Field tool or the Add Geometry Attributes tool instead of the Calculate Areas tool in your workflows. If you are using feature classes in a geodatabase, the shape_area attribute field is automatically maintained.