ScholarGate
Assistent

Jämför metoder

Granska de valda metoderna sida vid sida; rader som skiljer sig är markerade.

Robust Morans I×Robusta lokala indikatorer för rumslig association (Robust LISA)×
ÄmnesområdeRumslig analysRumslig analys
FamiljRegression modelRegression model
Ursprungsår1990s–2000s1995–2000s
UpphovspersonExtension of Moran (1950); robust adaptations developed in spatial statistics literatureAnselin (LISA, 1995); robust extensions by Assuncao & Reis and subsequent spatial statisticians
TypRobust spatial autocorrelation statisticLocal spatial autocorrelation statistic (robust variant)
UrsprungskällaAnselin, L. (1995). Local indicators of spatial association—LISA. Geographical Analysis, 27(2), 93–115. DOI ↗Anselin, L. (1995). Local indicators of spatial association—LISA. Geographical Analysis, 27(2), 93–115. DOI ↗
Aliasoutlier-resistant Moran's I, robust spatial autocorrelation test, median-based Moran statistic, robust global spatial associationRobust LISA, outlier-resistant LISA, robust local spatial autocorrelation, LISA with robust weights
Närliggande66
SammanfattningRobust Moran's I is an outlier-resistant adaptation of the classic Moran's I spatial autocorrelation statistic. By replacing the standard mean-based standardization with resistant measures of center and spread, it detects genuine geographic clustering without being distorted by a small number of extreme values in the attribute of interest.Robust Local Indicators of Spatial Association extend Anselin's LISA framework to handle outliers, extreme values, and spatially heterogeneous populations. By applying outlier-resistant adjustments to the spatial weights or the standardised values, Robust LISA identifies statistically significant local clusters and spatial outliers without the distortions caused by highly influential observations.
ScholarGateDatamängd
  1. v1
  2. 2 Källor
  3. PUBLISHED
  1. v1
  2. 2 Källor
  3. PUBLISHED

Gå till sökningen Ladda ner bildspel

ScholarGateJämför metoder: Robust Moran's I · Robust Local Indicators of Spatial Association. Hämtad 2026-06-19 från https://scholargate.app/sv/compare