Wombling assesses local rates of change. In the Project Window (Data tab), right-click on the vegetation data set. Choose Detect Boundary > Wombling from the pop-up menu (or from the main menu).
General Tab
Data: warblers
New boundary name: local warbler boundaries
Detect boundary using: all variables, equal weights
Choose not to standardize data before detection (clear the checkbox). Data standardization is not necessary when the multiple variables use the same scale and differences in value range are important to the analysis.
Choose to set thresholds using information provided on the dialog.
Define a crisp boundary using the top 17% of Boundary Likelihood Values (BLVs).
Leave the box checked next to display histogram of BLVs.
Other Tab: Set the gradient angle thresholds using the following parameters:
Maximum angle between adjacent vectors: 100°
Minimum angle between gradient and boundary: 30°
Look at the histogram of Boundary Likelihood Values, the Map, and the Table.