Módszerek összehasonlítása

	Hálózatalapú Panel Térbeli Elemzés	Panel Geographically Weighted Regression (Panel GWR)
Tudományterület	Térbeli elemzés	Térbeli elemzés
Módszercsalád	Regression model	Regression model
Keletkezés éve	2000s–2010s	2000s–2010s
Megalkotó	Developed from LeSage & Pace spatial econometrics and Elhorst panel spatial frameworks	Fotheringham, Brunsdon & Charlton (foundational GWR); panel extension developed in spatial econometrics literature
Típus	Panel spatial regression	Local spatial regression with panel structure
Alapmű	LeSage, J. P., & Pace, R. K. (2009). Introduction to Spatial Econometrics. CRC Press / Taylor & Francis. ISBN: 978-1420064247	Fotheringham, A. S., Brunsdon, C., & Charlton, M. (2002). Geographically Weighted Regression: The Analysis of Spatially Varying Relationships. Wiley. ISBN: 978-0471496168
Alternatív nevek	panel spatial network analysis, longitudinal network spatial analysis, panel network spatial econometrics, PNBSA	Panel GWR, PGWR, spatiotemporal GWR, geographically weighted panel regression
Kapcsolódó	5	4
Összefoglaló	Panel Network-Based Spatial Analysis extends standard spatial econometric models to repeated-measures (panel) data by representing spatial dependence through network connectivity rather than simple geographic proximity. It captures how units connected in a network influence each other's outcomes over time, while controlling for unit-level and time-level fixed effects.	Panel Geographically Weighted Regression (Panel GWR) extends the standard GWR framework to panel data, allowing regression coefficients to vary both across geographic locations and over time. It captures spatially non-stationary relationships in longitudinal or repeated-measures spatial datasets, combining local spatial estimation with panel-data controls for unit-specific heterogeneity.