Uporedite metode

	Prostorno-vremenska prostorna autokorelacija	Model prostornog kašnjenja (SAR / Spatial Autoregressive)
Oblast	Prostorna analiza	Prostorna analiza
Porodica	Regression model	Regression model
Godina nastanka	1981–1992	1988
Tvorac	Cliff & Ord; extended by Anselin and others	Anselin (textbook formalisation); LeSage & Pace
Tip	Spatial autocorrelation statistic	Spatial autoregressive regression
Temeljni izvor	Clifford, P., Richardson, S., & Hemon, D. (1989). Assessing the significance of the correlation between two spatial processes. Biometrics, 45(1), 123–134.	Anselin, L. (1988). Spatial Econometrics: Methods and Models. Kluwer Academic.
Drugi nazivi	STSA, spatiotemporal autocorrelation, space-time Moran's I, temporal spatial dependence	SAR model, spatial autoregressive model, spatial lag, Uzamsal Gecikme Modeli (SAR / Spatial Lag)
Srodne	5	5
Sažetak	Space-Time Spatial Autocorrelation extends classic spatial autocorrelation measures — most notably Moran's I — to data that vary across both geographic units and time periods. It detects whether nearby locations that are also temporally close tend to share similar attribute values, revealing clusters, trends, or anomalies that purely spatial or purely temporal analyses would miss.	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.