To calculate subboundary statistics, you must first have generated crisp difference boundaries. Once you have the correct type of boundary, follow these steps to analyze your subboundary segments and singletons.
From the "Boundary" menu, choose "Subboundary Analysis."
Choose the number of Monte Carlo randomizations.
Choose your null spatial model by specifying the randomization method.
Choose a name for your output, and decide if you would like to see the results in standardized form. The default is to standardize the data. Standardized data will be presented as a Z-score, which is calculated as (V - mean of V)/s, where "s" is the standard deviation and "V" is the value of the variable. Standardization facilitates the comparison of different boundary data sets.
Decide whether you wish to view histograms for each subboundary statistic. The default is yes. Clear the check box if you would not like to see the distribution of the randomized data for each of the subboundary statistics.
Click "OK". BoundarySeer will generate a table with each of the subboundary statistics as columns, and rows that show the observed and standardized observed values, means, standard deviations, and upper and lower p-values. BoundarySeer also presents a histogram of the randomized distribution of each statistic, along with a red line that represents the observed value.
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