Regression model

Geographically Weighted Regression (GWR)

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.

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Fotheringham, A. S., Brunsdon, C., & Charlton, M. (2002). Geographically Weighted Regression: The Analysis of Spatially Varying Relationships. Wiley. ISBN: 978-0471496168

Referenced by

Bayesian Geographically Weighted Regression Bayesian Multiscale Geographically Weighted Regression Bayesian Spatial Durbin Model Bayesian Spatial Error Model Bayesian Spatial Lag Model Bayesian Spatial Panel Model Bayesian Spatial Regression Bayesian Universal Kriging Co-kriging Cokriging Geographically Weighted PCA Geographically Weighted Random Forest Global Spatial Durbin Model Global Spatial Error Model Global Spatial Panel Model Hot Spot Analysis Inverse Distance Weighting Kriging Local Geographically Weighted Regression Local Indicators of Spatial Association Local Kriging Local Network-Based Spatial Analysis Local Ordinary Kriging Local Spatial Durbin Model Local Spatial Lag Model Local Spatial Regression Local Universal Kriging MGWR Moran's I Multiscale Geographically Weighted Regression Multiscale Spatial Autocorrelation Network-Based Spatial Analysis Ordinary Kriging Panel Geographically Weighted Regression Panel Kriging Panel Multiscale Geographically Weighted Regression Panel Spatial Autocorrelation Panel Spatial Durbin Model Panel Spatial Error Model Panel Spatial Regression Robust Universal Kriging Space-Time Network-Based Spatial Analysis Space-Time Spatial Autocorrelation Space-Time Spatial Error Model Space-Time Spatial Lag Model Space-Time Spatial Panel Model Space-Time Spatial Regression Space-Time Universal Kriging Spatial Autocorrelation Spatial Causal Impact Analysis Spatial Counterfactual Impact Evaluation Spatial Doubly Robust Estimation Spatial Durbin Model Spatial Inverse Probability Weighting Spatial Panel Model Spatial Propensity Score Weighting Spatial Sensitivity Analysis for Causality Universal Kriging

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