Regression modelGIS / spatial
Local Getis-Ord Gi* (Hot Spot Analysis)
The Local Getis-Ord Gi* statistic identifies statistically significant spatial clusters of high values (hot spots) and low values (cold spots) within a study area. Unlike global measures, it produces a z-score for every location, revealing where concentrated clustering occurs and with what statistical confidence.
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Sources
- Getis, A., & Ord, J. K. (1992). The analysis of spatial association by use of distance statistics. Geographical Analysis, 24(3), 189–206. DOI: 10.1111/j.1538-4632.1992.tb00261.x ↗
- Ord, J. K., & Getis, A. (1995). Local spatial autocorrelation statistics: Distributional issues and an application. Geographical Analysis, 27(4), 286–306. DOI: 10.1111/j.1538-4632.1995.tb00912.x ↗
Related methods
Referenced by
Bayesian Hot Spot AnalysisBayesian Local Indicators of Spatial AssociationGlobal Getis-Ord Gi*Global Hot Spot AnalysisGlobal Moran's ILocal Geary's CLocal Hot Spot AnalysisLocal Indicators of Spatial AssociationLocal Moran's ILocal Network-Based Spatial AnalysisLocal Spatial AutocorrelationMoran's IMultiscale Getis-Ord Gi*Panel Hot Spot AnalysisRobust Getis-Ord Gi*Robust Local Indicators of Spatial AssociationSpace-Time Getis-Ord Gi*Space-Time Hot Spot AnalysisSpace-Time Local Indicators of Spatial AssociationSpatial Autocorrelation