Label | Explanation | Data Type |

Input Table or Features
| The table or features containing count fields and population fields to calculate rates. | Table View |

Rate Fields
| The count and population fields that will be used to calculate rates. | Value Table |

Append Fields to Input
(Optional) | Specifies whether fields will be appended to the input dataset or saved to an output table or feature class. - Checked—Fields will be appended to the input features. This modifies the input data.
- Unchecked—An output table or feature class containing the fields will be created. This is the default.
| Boolean |

Output Table or Features
(Optional) | The output table or feature class containing the rates and additional fields to help evaluate the rates. | Feature Class; Table |

Rate Method
(Optional) | Specifies the method that will be used to calculate rates. - Crude Rate—The rates will be calculated by dividing the count field values by the population field values. This is the default.
- Global Empirical Bayes—The rates will be the weighted average of the crude rate and the global average rate. The weight will depend on the feature's population size.
- Local Empirical Bayes—The rates will be the weighted average of the focal feature's crude rate and the weighted average rate of its neighborhood.
- Locally Weighted Average— The rates will be the spatially weighted average rate of each feature and its neighborhood.
- Locally Weighted Median— The rates will be the spatially weighted median rate of each feature and its neighborhood.
| String |

Probability Distribution
| Specifies the probability distribution of the count field. - Poisson—The count field is assumed to follow a Poisson distribution. This is the default.
- Binomial—The count field is assumed to follow a binomial distribution.
| String |

Neighborhood Type
(Optional) | Specifies the method that will be used to identify the neighbors of each feature. - Distance Band—A threshold distance is applied to identify neighbors. Every feature that is within the threshold distance of a focal feature is considered a neighbor. If the input contains point or line features, this is the default.
- Contiguity Edges Only— Polygon features that share an edge or overlap a feature become neighbors of that feature.
- Contiguity Edges Corners— Features that overlap, share an edge, or share a vertex with a feature are neighbors of that feature. If the input contains polygon features, this is the default.
- K Nearest Neighbors—The same number of neighbors, k, is assigned to every feature. The k nearest features to a feature become its neighbors.
- Delaunay Triangulation—A nonoverlapping mesh of triangles is created from feature centroids. Each feature is a triangle node and nodes that share edges are considered neighbors.
- Get Spatial Weights from File—The spatial relationships between features is defined in a spatial weights matrix (.swm) file.
| String |

Distance Band
(Optional) | The distance from each feature that will be used to search for neighbors. All features within this distance will be included as neighbors. | Linear Unit |

Number of Neighbors
(Optional) | The number of neighbors that will be included in a feature's neighborhood. | Long |

Spatial Weights Matrix
(Optional) | The path and file name of the spatial weights matrix file that defines the spatial relationships among features. | File |

Local Weighting Scheme
(Optional) | Specifies the weighting scheme that will be applied to neighbors when calculating local statistics. - Unweighted— Neighbors will not be weighted. This is the default.
- Bisquare—Neighbors will be weighted using a bisquare kernel scheme.
- Gaussian—Neighbors will be weighted using a Gaussian kernel scheme.
| String |

Kernel Bandwidth
(Optional) | The bandwidth of the bisquare or Gaussian local weighting schemes. If no value is provided, one will be estimated during processing and included as a geoprocessing message. | Linear Unit |

Rate Multiplier
| A constant value that will be multiplied by the rates. This parameter can be used to scale the rates or to report the rates per specific unit of population. For example, when the value is set to 10,000, the rates will be reported as a number per 10,000 people. | Long |

### Derived Output

Label | Explanation | Data Type |

Updated Input Table | The updated input table. | Table View |

Output Layer Group | If a feature class is specified for the Input Table or Features parameter, a group layer is output with a layer for each rate specified in the Rate Fields parameter. | Group Layer |