The table of Subboundary Analysis output is shown automatically once you generate the analysis. If you closed it and wish to reopen the table, go to the Projects menu, choose table and select the "local warbler boundaries: subboundary analysis results" table. Alternatively, right click on that analysis in the Results tab of the Project Window.
The table includes values and p-values for each of the subboundary statistics. The histograms show the distribution of each statistic, with the original statistic for the boundaries shown as a slim red bar.
The following table will help you interpret the seven measures of "boundary-ness" based on the upper and lower p-values given in the results table. In essence, there were fewer and longer boundaries (fewer subboundaries of higher mean length with less branchiness) than expected by chance.
|
Statistic |
Meaning |
Value |
interpretation |
|
NS |
number of subboundaries |
lower p-value significant |
boundary-like: very few subboundaries |
|
N1 |
number of singleton Boundary Elements |
not significant |
|
|
Lmax |
maximum subboundary length (number of linked BEs) |
upper p-value significant |
boundary-like: boundary is cohesive |
|
Lmean |
mean subboundary length |
not significant |
|
|
Dmax |
maximum subboundary diameter |
upper p-value significant |
boundary-like: boundaries are not excessively branchy |
|
Dmean |
mean subboundary diameter |
not significant |
|
|
D/L |
mean diameter-to-length ratio (indicates branchiness) |
not significant |
|
Subboundary diameter is the average shortest path length between each pair of BEs in a subboundary.
The next question is: are the local warbler boundaries associated with edges of vegetation types?