So sánh phương pháp

	Tự tương quan không gian thời gian	Mô hình trễ không gian (SAR / Spatial Autoregressive)
Lĩnh vực	Phân tích không gian	Phân tích không gian
Họ	Regression model	Regression model
Năm ra đời	1981–1992	1988
Người khởi xướng	Cliff & Ord; extended by Anselin and others	Anselin (textbook formalisation); LeSage & Pace
Loại	Spatial autocorrelation statistic	Spatial autoregressive regression
Công trình gốc	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.
Tên gọi khác	STSA, spatiotemporal autocorrelation, space-time Moran's I, temporal spatial dependence	SAR model, spatial autoregressive model, spatial lag, Uzamsal Gecikme Modeli (SAR / Spatial Lag)
Liên quan	5	5
Tóm tắt	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.