The Assessing Sensitivity toolset contains tools that assess the sensitivity of an analysis to different types of uncertainty.
| 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. | |
Evaluates multiple bin sizes and recommends an appropriate bin size when aggregating and counting point incidents in a square or hexagonal grid. The tool also allows you to assess various other bin sizes to determine how the resulting counts and patterns would change. |