Сравнение методов

	Локальная модель пространственного лага	Spatial Lag Model
Область	Пространственный анализ	Пространственный анализ
Семейство	Regression model	Regression model
Год появления	1988 (global); 2000s (local extensions)	1988
Автор метода	Anselin (global SLM, 1988); local extension via Fotheringham, Brunsdon & Charlton (GWR framework, 2002)	Anselin (textbook formalisation); LeSage & Pace
Тип	Spatially varying regression model	Spatial autoregressive regression
Основополагающий источник	Anselin, L. (1988). Spatial Econometrics: Methods and Models. Kluwer Academic Publishers. ISBN: 978-9024737215	Anselin, L. (1988). Spatial Econometrics: Methods and Models. Kluwer Academic.
Другие названия	local SLM, geographically weighted spatial lag model, GW-SLM, spatially varying lag model	SAR model, spatial autoregressive model, spatial lag, Uzamsal Gecikme Modeli (SAR / Spatial Lag)
Связанные	5	5
Сводка	The Local Spatial Lag Model extends the classical spatial lag model by allowing both the spatial autocorrelation parameter and the regression coefficients to vary across geographic locations. Instead of one global estimate of how neighboring outcomes influence each observation, the model fits location-specific parameters using kernel-weighted local estimation, revealing spatial heterogeneity in spatial dependence.	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.