Linganisha mbinu

	Uhalali wa Nafasi-Wakati wa Kina	Mfumo wa Ucheleweshaji wa Anga (SAR / Spatial Autoregressive)
Nyanja	Uchanganuzi wa Kimaeneo	Uchanganuzi wa Kimaeneo
Familia	Regression model	Regression model
Mwaka wa asili	1981–1992	1988
Mwanzilishi	Cliff & Ord; extended by Anselin and others	Anselin (textbook formalisation); LeSage & Pace
Aina	Spatial autocorrelation statistic	Spatial autoregressive regression
Chanzo asilia	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.
Majina mbadala	STSA, spatiotemporal autocorrelation, space-time Moran's I, temporal spatial dependence	SAR model, spatial autoregressive model, spatial lag, Uzamsal Gecikme Modeli (SAR / Spatial Lag)
Zinazohusiana	5	5
Muhtasari	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.