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Linganisha mbinu

Pitia mbinu ulizochagua bega kwa bega; safu zinazotofautiana zinaangaziwa.

Kielelezo C cha Geary cha Utekelezaji wa Kimaeneo×Mfumo wa Ucheleweshaji wa Anga (SAR / Spatial Autoregressive)×
NyanjaUchanganuzi wa KimaeneoUchanganuzi wa Kimaeneo
FamiliaHypothesis testRegression model
Mwaka wa asili19541988
MwanzilishiRoy C. GearyAnselin (textbook formalisation); LeSage & Pace
AinaGlobal spatial autocorrelation statisticSpatial autoregressive regression
Chanzo asiliaGeary, R. C. (1954). The contiguity ratio and statistical mapping. The Incorporated Statistician, 5(3), 115–146. DOI ↗Anselin, L. (1988). Spatial Econometrics: Methods and Models. Kluwer Academic. DOI ↗
Majina mbadalaGeary contiguity ratio, Geary's contiguity ratio, global spatial autocorrelation, Geary C mekânsal otokorelasyonSAR model, spatial autoregressive model, spatial lag, Uzamsal Gecikme Modeli (SAR / Spatial Lag)
Zinazohusiana25
MuhtasariGeary's C is a global measure of spatial autocorrelation — whether nearby locations tend to have similar values — introduced by Roy Geary in 1954. Unlike Moran's I, which is built on the covariation of values around the mean, Geary's C is built on the squared differences between neighbouring values, making it more sensitive to local, short-range variation. Values below 1 indicate positive spatial autocorrelation (similar neighbours), near 1 indicate randomness, and above 1 indicate negative autocorrelation.The Spatial Lag Model is an autoregressive regression that assumes spatial dependence in the dependent variable itself: the outcome values of neighbouring units enter the model as an explanatory term (ρWy). It was formalised in Anselin's Spatial Econometrics (1988) and developed further by LeSage and Pace (2009), and it decomposes spillover effects into direct, indirect, and total impacts.
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  1. v1
  2. 2 Vyanzo
  3. PUBLISHED

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ScholarGateLinganisha mbinu: Geary's C · Spatial Lag Model. Imepatikana 2026-06-18 kutoka https://scholargate.app/sw/compare