Methoden vergelijken

	Ruimtelijke Autocorrelatie in Ruimte-Tijd	Spatiaal Lag Model (SAR / Spatiale Autoregressie)
Vakgebied	Ruimtelijke analyse	Ruimtelijke analyse
Familie	Regression model	Regression model
Jaar van ontstaan	1981–1992	1988
Grondlegger	Cliff & Ord; extended by Anselin and others	Anselin (textbook formalisation); LeSage & Pace
Type	Spatial autocorrelation statistic	Spatial autoregressive regression
Oorspronkelijke bron	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.
Aliassen	STSA, spatiotemporal autocorrelation, space-time Moran's I, temporal spatial dependence	SAR model, spatial autoregressive model, spatial lag, Uzamsal Gecikme Modeli (SAR / Spatial Lag)
Verwant	5	5
Samenvatting	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.