Getis-Ord Statistics

Getis-Ord statistics are tools used in spatial analysis to identify areas with significant clustering of high or low values, such as crime rates or disease cases. They evaluate whether a specific location and its nearby areas have similar high or low measurements more than expected by chance. Essentially, these statistics help highlight "hot spots" (regions with high values) and "cold spots" (regions with low values) on a map, revealing patterns and trends that inform decision-making in urban planning, public health, and resource allocation.