পদ্ধতির তুলনা করুন

	কার্যকারণ সম্পর্ক নির্ণয়ে স্থানিক সংবেদনশীলতা বিশ্লেষণ	Spatial Lag Model (SAR / Spatial Autoregressive)
ক্ষেত্র	কার্যকারণ অনুমান	স্থানিক বিশ্লেষণ
পরিবার	Regression model	Regression model
উদ্ভবের বছর	1988–2021 (developed progressively)	1988
প্রবর্তক	Anselin (1988) for spatial diagnostics; Reich et al. (2021) for spatial causal frameworks	Anselin (textbook formalisation); LeSage & Pace
ধরন	Sensitivity / robustness analysis	Spatial autoregressive regression
মৌলিক উৎস	Anselin, L. (1988). Spatial Econometrics: Methods and Models. Kluwer Academic Publishers, Dordrecht. ISBN: 978-9024737322	Anselin, L. (1988). Spatial Econometrics: Methods and Models. Kluwer Academic.
অপর নাম	spatial causal sensitivity, spatial robustness checks, SSAC, spatial confounding sensitivity	SAR model, spatial autoregressive model, spatial lag, Uzamsal Gecikme Modeli (SAR / Spatial Lag)
সম্পর্কিত	6	5
সারসংক্ষেপ	Spatial sensitivity analysis for causality systematically tests whether a causal estimate derived from georeferenced data holds up as spatial structure, spillovers, and the choice of spatial weights matrix are varied. Because nearby units often share unmeasured confounders — soil quality, local infrastructure, neighbourhood norms — a naive regression may yield biased causal estimates. This method reveals how fragile or robust a claimed causal effect is to alternative spatial specifications.	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.