ScholarGate
Assistent

Compara mètodes

Revisa els mètodes seleccionats l'un al costat de l'altre; les files que difereixen es ressalten.

Estadístic Gi* robust de Getis-Ord×Anàlisi de punts calents (Getis-Ord Gi*)×
CampAnàlisi espacialAnàlisi espacial
FamíliaRegression modelRegression model
Any d'origen1992 (base); robust variants circa 2000s–2010s1992–1995
Autor originalGetis & Ord (base statistic); robust extensions developed in subsequent spatial statistics literatureArthur Getis and J. Keith Ord
TipusLocal spatial statisticLocal spatial association statistic
Font seminalGetis, A., & Ord, J. K. (1992). The analysis of spatial association by use of distance statistics. Geographical Analysis, 24(3), 189–206. DOI ↗Getis, A., & Ord, J. K. (1992). The analysis of spatial association by use of distance statistics. Geographical Analysis, 24(3), 189–206. DOI ↗
ÀliesRobust Gi*, Robust local Gi star, outlier-resistant hot spot analysis, robust local spatial autocorrelation Gi*Gi* statistic, Getis-Ord Gi*, local G-star, hot spot statistic
Relacionats55
ResumThe Robust Getis-Ord Gi* statistic extends the classical Gi* hot-spot measure to handle outliers in spatial data. By using robust estimators of the mean and variance — such as trimmed means, medians, or down-weighted influential observations — it identifies statistically significant spatial clusters of high or low values even when the attribute distribution contains extreme values that would distort the standard Gi*.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.
ScholarGateConjunt de dades
  1. v1
  2. 2 Fonts
  3. PUBLISHED
  1. v1
  2. 2 Fonts
  3. PUBLISHED

Ves a la cerca Baixa les diapositives

ScholarGateCompara mètodes: Robust Getis-Ord Gi* · Local Getis-Ord Gi*. Recuperat el 2026-06-19 de https://scholargate.app/ca/compare