ScholarGate
Asistent

Porovnať metódy

Prezrite si vybrané metódy vedľa seba; riadky, ktoré sa líšia, sú zvýraznené.

Robustná štatistika Getis-Ord Gi*×Lokálna štatistika Getis-Ord Gi* (analýza horúcich miest)×
OdborPriestorová analýzaPriestorová analýza
RodinaRegression modelRegression model
Rok vzniku1992 (base); robust variants circa 2000s–2010s1992–1995
TvorcaGetis & Ord (base statistic); robust extensions developed in subsequent spatial statistics literatureArthur Getis and J. Keith Ord
TypLocal spatial statisticLocal spatial association statistic
Pôvodný zdrojGetis, 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 ↗
Ďalšie názvyRobust 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
Príbuzné55
ZhrnutieThe 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.
ScholarGateDátová sada
  1. v1
  2. 2 Zdroje
  3. PUBLISHED
  1. v1
  2. 2 Zdroje
  3. PUBLISHED

Prejsť na hľadanie Stiahnuť snímky

ScholarGatePorovnať metódy: Robust Getis-Ord Gi* · Local Getis-Ord Gi*. Získané 2026-06-20 z https://scholargate.app/sk/compare