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Autokorelasi Angkasa Geary's C×Model Lag Angkasa (SAR / Spatial Autoregressive)×
BidangAnalisis ReruangAnalisis Reruang
KeluargaHypothesis testRegression model
Tahun asal19541988
PengasasRoy C. GearyAnselin (textbook formalisation); LeSage & Pace
JenisGlobal spatial autocorrelation statisticSpatial autoregressive regression
Sumber perintisGeary, 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 ↗
AliasGeary 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)
Berkaitan25
RingkasanGeary'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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ScholarGateBandingkan kaedah: Geary's C · Spatial Lag Model. Dicapai 2026-06-17 daripada https://scholargate.app/ms/compare