Label | Explanation | Data Type |

Input Features | The feature class or layer used to calculate distance statistics. | Feature Layer |

Neighbors | The number of neighbors (N) to consider for each feature. This number should be any integer between one and the total number of features in the feature class. A list of distances between each feature and its Nth neighbor is compiled, and the maximum, minimum, and average distances are output to the Results window. | Long |

Distance Method | Specifies how distances are calculated from each feature to neighboring features. - Euclidean—The straight-line distance between two points (as the crow flies)
- Manhattan—The distance between two points measured along axes at right angles (city block); calculated by summing the (absolute) difference between the x- and y-coordinates
| String |

### Derived Output

Label | Explanation | Data Type |

Minimum Distance | The minimum N neighbor distance. | Double |

Average Distance | The average N neighbor distance. | Double |

Maximum Distance | The maximum N neighbor distance. | Double |