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Krahasoni metodat

Shqyrtoni metodat e zgjedhura krah për krah; rreshtat që ndryshojnë janë të theksuar.

Autokorrelacioni Hapësinor Robust×Treguesit Lokalë të Asociacionit Hapësinor (LISA)×
FushaAnaliza hapësinoreAnaliza hapësinore
FamiljaRegression modelRegression model
Viti i origjinës1981–19951995
KrijuesiCliff & Ord; extended by Anselin and colleaguesLuc Anselin
LlojiSpatial dependence test (robust variant)Local spatial statistic
Burimi themeluesAnselin, L., & Florax, R. J. G. M. (1995). Small sample properties of tests for spatial dependence in regression models: some further results. In Anselin, L. & Florax, R. J. G. M. (Eds.), New Directions in Spatial Econometrics. Springer, Berlin. link ↗Anselin, L. (1995). Local Indicators of Spatial Association — LISA. Geographical Analysis, 27(2), 93–115. DOI ↗
Emërtime të tjerarobust Moran's I, robust spatial dependence test, outlier-resistant spatial autocorrelation, RSALISA, local spatial autocorrelation statistics, local Moran's I, Anselin LISA
Të lidhura56
PërmbledhjaRobust spatial autocorrelation methods measure the degree to which nearby geographic units share similar values, while explicitly controlling for the distorting influence of spatial outliers and extreme observations. They extend classical statistics such as Moran's I by down-weighting or trimming observations that would otherwise inflate or deflate the autocorrelation signal.LISA, introduced by Luc Anselin in 1995, decomposes a global spatial autocorrelation index into a location-specific statistic for every observation. It identifies where statistically significant spatial clusters and outliers occur on a map, enabling researchers to move beyond a single global summary and pinpoint the geographic sources of spatial dependence.
ScholarGateSeti i të dhënave
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ScholarGateKrahasoni metodat: Robust Spatial Autocorrelation · Local Indicators of Spatial Association. Marrë më 2026-06-19 nga https://scholargate.app/sq/compare