Methoden vergelijken

	Ruimtelijke Regressie voor Ruimte-Tijd	Ruimtelijk Foutenmodel (SEM)
Vakgebied	Ruimtelijke analyse	Ruimtelijke analyse
Familie	Regression model	Regression model
Jaar van ontstaan	1990s–2000s	1988
Grondlegger	Anselin, LeSage, Pace and colleagues in spatial econometrics	Anselin
Type	Spatio-temporal regression model	Spatial regression (spatially autocorrelated errors)
Oorspronkelijke bron	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.
Aliassen	spatio-temporal regression, spatial panel regression, space-time regression, ST spatial regression	SEM, spatial error regression, spatial autoregressive error model, Uzamsal Hata Modeli (SEM / Spatial Error)
Verwant	6	5
Samenvatting	Space-Time Spatial Regression extends classical spatial regression to panel settings where georeferenced units are observed across multiple time periods. By embedding a spatial weights matrix into a panel regression framework, it simultaneously controls for spatial dependence among cross-sectional units and temporal dynamics, yielding unbiased and consistent estimates in spatio-temporal data.	The Spatial Error Model, developed within Anselin's spatial econometrics framework (1988), is a regression model that assumes spatial dependence enters through the error term: the disturbances of neighbouring units are correlated. It is used when unobserved shared factors make the errors of nearby observations move together, and it is estimated by maximum likelihood or GMM rather than ordinary least squares.