SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Geographically Weighted Negative Binomial Regression—incorporating overdispersion
8 references·2 citing·34 second hop
Geographically Weighted Negative Binomial Regression—incorporating overdispersion (2013)Geographically Weighted Negative Binomial…A Simulation-Based Study of Geographically Weighted Regression as a Method for Investigating Spatially Varying Relationships (2011)A Simulation-Based Study of G…A systematic investigation of cross-validation in GWR model estimation: empirical analysis and Monte Carlo simulations (2007)A systematic investigation of…Multicollinearity and correlation among local regression coefficients in geographically weighted regression (2005)Multicollinearity and correla…Geographically weighted Poisson regression for disease association mapping (2005)Geographically weighted Poiss…Geographically Weighted Regression (2003)Geographically Weighted Regre…Testing for Spatial Autocorrelation among the Residuals of the Geographically Weighted Regression (2000)Testing for Spatial Autocorre…Statistical Tests for Spatial Nonstationarity Based on the Geographically Weighted Regression Model (2000)Statistical Tests for Spatial…Geographically Weighted Regression (1998)Geographically Weighted Regre…A spatial statistical approach to estimate bus stop demand using GIS-processed data (2024)A spatial statistical approac…Local modeling as a solution to the lack of stop-level ridership data (2023)Local modeling as a solution …Geographically Weighted Regression: A Method for Exploring Spatial Nonstationarity (1996)Geographically Weighted Regression: The Analysis of Spatially Varying Relationships (2002)Mapping the results of local statistics (2012)Spatial Heterogeneity in Hedonic House Price Models: The Case of Austria (2013)Tourism and regional income inequality: Evidence from China (2016)Spatial Econometrics: Methods and Models (1988)The Use of Geographically Weighted Regression for Spatial Prediction: An Evaluation of Models Using Simulated Data Sets (2010)The Multiple Testing Issue in Geographically Weighted Regression (2015)Generating Models by the Expansion Method: Applications to Geographical Research* (1972)Geographically Weighted Regression (2009)Spatial effects in regional tourism growth (2014)The GWmodel R package: further topics for exploring spatial heterogeneity using geographically weighted models (2014)Local Indicators of Spatial Association—LISA (1995)A General Framework for Estimation and Inference of Geographically Weighted Regression Models: 2. Spatial Association and Model Specification Tests (2002)Spatially varying development mechanisms in the Greater Beijing Area: a geographically weighted regression investigation (2006)A new method for dealing simultaneously with spatial autocorrelation and spatial heterogeneity in regression models (2017)Local Spatial Autocorrelation Statistics: Distributional Issues and an Application (1995)Spatial Autocorrelation (2009)Geographically weighted regression and multicollinearity: dispelling the myth (2016)mgwr: A Python Implementation of Multiscale Geographically Weighted Regression for Investigating Process Spatial Heterogeneity and Scale (2019)Ecological Correlations and the Behavior of Individuals (1950)Optimal discretization for geographical detectors-based risk assessment (2013)GWmodel : An R Package for Exploring Spatial Heterogeneity Using Geographically Weighted Models (2015)A Computer Movie Simulating Urban Growth in the Detroit Region (1970)Geographically Weighted Regression: The Analysis of Spatially Varying Relationships (2004)Transport challenges in Brazil and research opportunities (2024)Statistics for Spatial Data (1993)Transit-Oriented Development in the United States: Experiences, Challenges, and Prospects (2004)A novel multimodal deep learning-based direct ridership model for planning-oriented demand prediction in urban rail transit networks (2025)Prediction accuracy in mass appraisal: a comparison of modern approaches (2013)A geographically and temporally weighted autoregressive model with application to housing prices (2014)Spatial Panel Econometrics (2008)Geographically and temporally weighted regression for modeling spatio-temporal variation in house prices (2010)The effect of urbanization on environmental pollution in rapidly developing urban agglomerations (2019)
this work references cited by second hop

References

  • 1998Geographically Weighted Regression1,589 cited
  • 2005Multicollinearity and correlation among local regression coefficients in geographically weighted regression807 cited
  • 2005Geographically weighted Poisson regression for disease association mapping565 cited
  • 2000Statistical Tests for Spatial Nonstationarity Based on the Geographically Weighted Regression Model462 cited
  • 2011A Simulation-Based Study of Geographically Weighted Regression as a Method for Investigating Spatially Varying Relationships239 cited
  • 2003Geographically Weighted Regression225 cited
  • 2007A systematic investigation of cross-validation in GWR model estimation: empirical analysis and Monte Carlo simulations193 cited
  • 2000Testing for Spatial Autocorrelation among the Residuals of the Geographically Weighted Regression149 cited

Cited by

  • 2024A spatial statistical approach to estimate bus stop demand using GIS-processed data10 cited
  • 2023Local modeling as a solution to the lack of stop-level ridership data10 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work