Geary's C Results
After you perform a Geary’s C analysis, you will see several new datasets in the data view, a new map, and a table in the Log View. You can map the new datasets or view them in any of the other graphic views. The standardized and results datasets will have the same time range you specified for the analysis. Geary’s C datasets exist during the time range for which the data is unchanged and will recalculate the statistic if an object moves or a data value changes. For any given subinterval, data objects are unchanging. The results datasets will have missing values at all other times in your project.
Datasets
For Geary’s C, SpaceStat creates four new variables from the original data: the standardized values of that variable for each location (z-score), the ci value for each observation, the p-value associated with that ci statistic, and a categorical dataset named "Ci significance", which describes whether the observation is non-significant, or if it is demonstrating positive or negative spatial autocorrelation. These variables will all appear in a folder with the name you specified in the Output tab of the Task Manager. The folder will be placed under the original variable used in the analysis.
Map
After running Geary’s C, SpaceStat will create a map of the categorical dataset describing whether the p-values are significant or not. Non-significant objects are colored grey. If the p-values are indeed significant, SpaceStat colors the observations which demonstrate positive spatial autocorrelation as green while observations demonstrating negative spatial autocorrelation are purple.
Missing values indicate locations for which a Geary’s C analysis could not be calculated.
Table in Log View
The log will report all the information used to run the method, which is the same information presented in the Run method tab of the task manager.
After this summary, the log will also report list the value of the global Geary’s C for each time slice with which you calculated the statistic. It will also list the p-value associated with the statistic. P-values which are significant at the alpha level you defined will be highlighted in red.