Local Moran Results

After you perform a Local Moran analysis, you will see several new datasets in the data view, a new map, and a Moran Scatterplot. You can map these datasets or view them in any of the other graphic views. The standardized and results datasets will have the time stamp you specified for the analysis. In essence, the resulting datasets are a new time slice variable. Unlike other datasets in your project, Local Moran resulting datasets only exist at the moment you calculated them, or for a range if the data and geographic objects do not change in a time interval. They will have missing values at all other times in your project, unless you calculate several Local Moran statistics sequentially and give them the same name stem.

Standardized Datasets

For a univariate Local Moran, SpaceStat creates two new variables from the original data—it creates a new variable, the standardized values of that variable for each location (z-score), and then it calculates the mean standardized neighbor value of that variable for each location. These new datasets will appear in the data view.

For a bivariate Local Moran, it creates three new variables, the standardized form of each variable, plus the weighted neighbor values for the second variable or time chosen.

Results

You will also see 4 results datasets: "High-High/Low-Low", "Ii", "P value" and, "Significance Index". All of these results datasets are calculated from the standardized datasets above, so they all are named similarly.

High-High / Low-Low	This is a categorical dataset, providing a label for each of the locations whether the location is the center of a significant high-high or low-low cluster, or whether it is a significant outlier (high-low or low-high). This interpretation comes from the location on the Moran Scatterplot.
Ii	This is the Local Moran statistic value, Ii, for each location.
P value	This is the Monte Carlo p-value for each location, calculated with the number of Monte Carlo randomizations you specified. This p-value is adjusted with the Simes correction if you request.
Significance Index	This is a categorical dataset that reports whether a location is significant at certain alpha levels (5% and 1%).

Missing values indicate locations for which a Local Moran statistic could not be calculated.