Label | Explanation | Data Type |

Input Feature Class | The feature class for which hot spot analysis will be performed. | Feature Layer |

Input Field | The numeric field (number of victims, crime rate, test scores, and so on) to be evaluated. | Field |

Output Feature Class | The output feature class to receive the z-score and p-value results. | Feature Class |

Conceptualization of Spatial Relationships | Specifies how spatial relationships among features will be defined. - Inverse distance — Nearby neighboring features will have a larger influence on the computations for a target feature than features that are far away.
- Inverse distance squared — Same as Inverse distance except that the slope is sharper, so influence will drop off more quickly, and only a target feature's closest neighbors will exert substantial influence on computations for that feature.
- Fixed distance band — Each feature will be analyzed within the context of neighboring features. Neighboring features inside the specified critical distance (Distance Band or Threshold Distance) will receive a weight of one and exert influence on computations for the target feature. Neighboring features outside the critical distance will receive a weight of zero and have no influence on a target feature's computations.
- Zone of indifference — Features within the specified critical distance (Distance Band or Threshold Distance) of a target feature will receive a weight of one and influence computations for that feature. Once the critical distance is exceeded, weights (and the influence a neighboring feature has on target feature computations) will diminish with distance.
- K nearest neighbors —The closest k features will be included in the analysis; k is a specified numeric parameter.
- Contiguity edges only — Only neighboring polygon features that share a boundary or overlap will influence computations for the target polygon feature.
- Contiguity edges corners — Polygon features that share a boundary, share a node, or overlap will influence computations for the target polygon feature.
- Get spatial weights from file — Spatial relationships will be defined by a specified spatial weights file. The path to the spatial weights file is specified by the Weights Matrix File parameter.
| String |

Distance Method | Specifies how distances will be 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 |

Standardization | Row standardization has no impact on this tool: results from Hot Spot Analysis (the Getis-Ord Gi* statistic) would be identical with or without row standardization. The parameter is disabled; it remains as a tool parameter only to support backward compatibility. - None — No standardization of spatial weights is applied.
- Row — No standardization of spatial weights is applied.
| String |

Distance Band or Threshold Distance (Optional) | Specifies a cutoff distance for the inverse distance and fixed distance options. Features outside the specified cutoff for a target feature will be ignored in analyses for that feature. However, for Zone of indifference, the influence of features outside the given distance will be reduced with distance, while those inside the distance threshold will be equally considered. The distance value entered should match that of the output coordinate system. For the inverse distance conceptualizations of spatial relationships, a value of 0 indicates that no threshold distance will be applied; when this parameter is left blank, a default threshold value will be computed and applied. The default value is the Euclidean distance, which ensures that every feature has at least one neighbor. This parameter has no effect when polygon contiguity (Contiguity edges only or Contiguity edges corners) or Get spatial weights from file spatial conceptualization is selected. | Double |

Self Potential Field (Optional) | The field representing self potential: the distance or weight between a feature and itself. | Field |

Weights Matrix File (Optional) | The path to a file containing weights that define spatial, and potentially temporal, relationships among features. | File |

Apply False Discovery Rate (FDR) Correction
(Optional) | Specifies whether statistical significance will be assessed with or without FDR correction. - Checked—Statistical significance will be based on the FDR correction.
- Unchecked—Statistical significance will not be based on the FDR correction; it will be based on the p-value and z-score fields. This is the default.
| Boolean |

Number of Neighbors
(Optional) | An integer specifying the number of neighbors to include in the analysis. | Long |

### Derived Output

Label | Explanation | Data Type |

Results Field | The results field name (GiZScore). | Field |

Probability Field | The probability field name (GiPValue). | Field |

Source_ID | The source ID field name (SOURCE_ID). | Field |