Moran’s I

Gi* statistic

Network KDE

measures spatial correlation, identifies hot spots with high-high values, and cold spots with low-low values

measures spatial correlation, identifies hot spots with high-high values, and cold spots with low-low values

measures probability density function, identifies only hot spots in term of density per linear distance unit

Identifies outliers (dispersed incidents) with high-low values and low-high values

does not identify outliers

does not identify outliers

Looking at the value in the context of its neighbors’ values within the inverse distance between locations

Looking at the value in the context of its neighbors’ values that fall within a specified distance of each other

conduct density calculation based on the user-specified search radius and raster cell size

does not include the interaction of a zone with itself but only with its neighborhoods in measuring spatial correlation

includes the interaction of a zone with itself in addition to its neighborhoods in measuring spatial correlation

does not include the interaction of a zone with itself but only with its neighborhoods in measuring kernel density

reports an index-value, and a z-score

reports a combined index-value and a z-score

reports a linear density value, and a z-score

reports a p-value

reports a p-value

does not report a p-value

presents the statistical significance of clustering

presents the statistical significance of clustering

does not present the statistical significance of clustering

ranges from -1.0 to + 1.0

ranges from 0.0 to + 1.0

any positive value