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	Model Bayesański z Lagiem Przestrzennym	Model opóźnienia przestrzennego (SAR / Autoregresyjny przestrzenny)
Dziedzina	Analiza przestrzenna	Analiza przestrzenna
Rodzina	Regression model	Regression model
Rok powstania	1997	1988
Twórca	LeSage (1997); fully elaborated in LeSage & Pace (2009)	Anselin (textbook formalisation); LeSage & Pace
Typ	Bayesian spatial regression	Spatial autoregressive regression
Źródło pierwotne	LeSage, J. P., & Pace, R. K. (2009). Introduction to Spatial Econometrics. CRC Press / Taylor & Francis. ISBN: 978-1420064247	Anselin, L. (1988). Spatial Econometrics: Methods and Models. Kluwer Academic.
Inne nazwy	Bayesian SAR model, Bayesian spatial autoregressive model, BSLM, Bayesian SLM	SAR model, spatial autoregressive model, spatial lag, Uzamsal Gecikme Modeli (SAR / Spatial Lag)
Pokrewne	5	5
Podsumowanie	The Bayesian Spatial Lag Model (BSLM) extends the classical spatial autoregressive (SAR) regression by placing prior distributions over all parameters and recovering full posterior distributions via MCMC sampling. It explicitly accounts for spatial dependence — the outcome in one location is partly driven by outcomes in neighboring locations — and yields uncertainty-quantified estimates of both regression coefficients and the spatial autocorrelation parameter rho.	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.