The Assessing Sensitivity toolset contains a tool that assesses the sensitivity of an analysis to different types of uncertainty.
Run the tool after running an analysis tool in the Spatial Statistics toolbox. This tool assesses the sensitivity of the analysis results from the following tools:
- Hot Spot Analysis (Getis-Ord Gi*)
- Optimized Hot Spot Analysis
- Cluster and Outlier Analysis (Anselin Local Moran's I)
- Optimized Outlier Analysis
- Generalized Linear Regression
- Spatial Autocorrelation (Global Moran's I)
| Tool | Description |
|---|---|
Measures the stability of an analysis result by comparing the original analysis output to the results from multiple tool runs using simulated data. The simulated data accounts for uncertainty in one or more analysis variables. Three types of attribute uncertainty are supported: margin of error, confidence bounds, and a percentage of the original attribute value. |