Label | Explanation | Data Type |
Input Feature Class | The feature class for which cluster and outlier analysis will be performed. | Feature Layer |
Input Field | The numeric field to be evaluated. | Field |
Output Feature Class | The output feature class to receive the results fields. | Feature Class |
Conceptualization of Spatial Relationships | Specifies how spatial relationships among features are defined.
| String |
Distance Method | Specifies how distances are calculated from each feature to neighboring features.
| String |
Standardization | Row standardization is recommended whenever the distribution of your features is potentially biased due to sampling design or an imposed aggregation scheme.
| String |
Distance Band or Threshold Distance (Optional) | Specifies a cutoff distance for Inverse Distance and Fixed Distance options. Features outside the specified cutoff for a target feature are ignored in analyses for that feature. However, for Zone of Indifference, the influence of features outside the given distance is reduced with distance, while those inside the distance threshold are 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 is applied; when this parameter is left blank, a default threshold value is computed and applied. This default value is the Euclidean distance that ensures every feature has at least one neighbor. This parameter has no effect when Polygon Contiguity or Get Spatial Weights From File spatial conceptualizations are selected. | Double |
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.
| Boolean |
Number of Permutations
(Optional) | The number of random permutations for the calculation of pseudo p-values. The default number of permutations is 499. If you choose 0 permutations, the standard p-value is calculated.
| Long |
Number of Neighbors
(Optional) | The number of neighbors to include in the analysis. | Long |
Derived Output
Label | Explanation | Data Type |
Index Field Name | The index field name. | Field |
ZScore Field Name | The z-score field name. | Field |
Probability Field | The probability field name. | Field |
Cluster Outlier Type | The cluster/outlier field name. | Field |
Source ID | The source ID field name. | Field |