Compara mètodes

	Anàlisi Espacial Basada en Xarxes per a Dades de Panell	Regressió Geogràficament Ponderada de Panells (Panel GWR)
Camp	Anàlisi espacial	Anàlisi espacial
Família	Regression model	Regression model
Any d'origen	2000s–2010s	2000s–2010s
Autor original	Developed from LeSage & Pace spatial econometrics and Elhorst panel spatial frameworks	Fotheringham, Brunsdon & Charlton (foundational GWR); panel extension developed in spatial econometrics literature
Tipus	Panel spatial regression	Local spatial regression with panel structure
Font seminal	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
Àlies	panel spatial network analysis, longitudinal network spatial analysis, panel network spatial econometrics, PNBSA	Panel GWR, PGWR, spatiotemporal GWR, geographically weighted panel regression
Relacionats	5	4
Resum	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.