ScholarGate
Asistent

Uporedite metode

Pregledajte izabrane metode jednu pored druge; redovi koji se razlikuju su istaknuti.

Global Moran's I×Локални индикатори просторне асоцијације (LISA)×
OblastProstorna analizaProstorna analiza
PorodicaRegression modelRegression model
Godina nastanka19501995
TvoracPatrick Alfred Pierce MoranLuc Anselin
TipGlobal spatial autocorrelation test / indexLocal spatial statistic
Temeljni izvorMoran, P. A. P. (1950). Notes on continuous stochastic phenomena. Biometrika, 37(1/2), 17–23. DOI ↗Anselin, L. (1995). Local Indicators of Spatial Association — LISA. Geographical Analysis, 27(2), 93–115. DOI ↗
Drugi naziviMoran's I, global spatial autocorrelation index, Moran index, GMILISA, local spatial autocorrelation statistics, local Moran's I, Anselin LISA
Srodne66
SažetakGlobal Moran's I is the most widely used single-number summary of spatial autocorrelation across an entire study area. It compares the attribute value at each location with values at neighbouring locations using a spatial weights matrix, and returns a statistic ranging from −1 (perfect dispersion) through 0 (spatial randomness) to +1 (perfect clustering). A significance test determines whether the observed pattern is stronger than random chance.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.
ScholarGateSkup podataka
  1. v1
  2. 2 Izvori
  3. PUBLISHED
  1. v1
  2. 2 Izvori
  3. PUBLISHED

Idi na pretragu Preuzmi slajdove

ScholarGateUporedite metode: Global Moran's I · Local Indicators of Spatial Association. Preuzeto 2026-06-20 sa https://scholargate.app/sr/compare