विधियों की तुलना करें

	स्थान-समय नेटवर्क-आधारित स्थानिक विश्लेषण	भौगोलिक भारित प्रतिगमन (GWR)
क्षेत्र	स्थानिक विश्लेषण	स्थानिक विश्लेषण
परिवार	Regression model	Regression model
उद्भव वर्ष	1970–2000s	2002
प्रवर्तक	Torsten Hägerstrand (time-geography foundation); extended by Harvey J. Miller and others for network contexts	Fotheringham, Brunsdon & Charlton
प्रकार	Spatiotemporal network model	Local spatial regression
मौलिक स्रोत	Hägerstrand, T. (1970). What about people in regional science? Papers of the Regional Science Association, 24(1), 7–21.	Fotheringham, A. S., Brunsdon, C., & Charlton, M. (2002). Geographically Weighted Regression: The Analysis of Spatially Varying Relationships. Wiley. ISBN: 978-0471496168
उपनाम	ST-NBA, space-time network analysis, spatiotemporal network analysis, network-based space-time analysis	GWR, local regression, spatially varying coefficient regression, Coğrafi Ağırlıklı Regresyon (GWR)
संबंधित	2	5
सारांश	Space-Time Network-Based Spatial Analysis integrates network topology with temporal constraints to model how people, goods, or phenomena move through geographic networks over time. Rooted in Hägerstrand's time-geography, it evaluates accessibility, interaction potential, and movement patterns along real-world infrastructure networks while respecting both spatial distance and time budgets.	Geographically Weighted Regression is a local regression method, introduced by Fotheringham, Brunsdon and Charlton (2002), that allows the regression coefficients to vary across space. Instead of one global equation, it fits a separate set of coefficients at every location, capturing spatial heterogeneity in the relationships.