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GWmodel: an R Package for Exploring Spatial Heterogeneity using Geographically Weighted Models
16 references·5 citing·34 second hop
GWmodel: an R Package for Exploring Spatial Heterogeneity using Geographically Weighted Models (2013)GWmodel: an R Package for Exploring Spati…The Use of Geographically Weighted Regression for Spatial Prediction: An Evaluation of Models Using Simulated Data Sets (2010)The Use of Geographically Wei…SAM: a comprehensive application for Spatial Analysis in Macroecology (2010)SAM: a comprehensive applicat…Comparing spatially‐varying coefficients models for analysis of ecological data with non‐stationary and anisotropic residual dependence (2010)Comparing spatially‐varying c…Geographically Weighted Regression (2009)Geographically Weighted Regre…Spatial-Filtering-Based Contributions to a Critique of Geographically Weighted Regression (GWR) (2008)Spatial-Filtering-Based Contr…Diagnostic Tools and a Remedial Method for Collinearity in Geographically Weighted Regression (2007)Diagnostic Tools and a Remedi…Incorporating spatial variation in housing attribute prices: a comparison of geographically weighted regression and the spatial expansion method (2006)Incorporating spatial variati…Geographically weighted Poisson regression for disease association mapping (2005)Geographically weighted Poiss…Multivariable geostatistics in S: the gstat package (2004)Multivariable geostatistics i…Geographically weighted summary statistics — a framework for localised exploratory data analysis (2002)Geographically weighted summa…Geographically Weighted Regression: The Analysis of Spatially Varying Relationships (2002)Geographically Weighted Regre…Some Notes on Parametric Significance Tests for Geographically Weighted Regression (1999)Some Notes on Parametric Sign…Geographically Weighted Regression (1998)Geographically Weighted Regre…Geographically weighted regression - modelling spatial non-stationarity (1998)Geographically weighted regre…Geographically Weighted Regression: A Method for Exploring Spatial Nonstationarity (1996)Geographically Weighted Regre…A Mark 1 Geographical Analysis Machine for the automated analysis of point data sets (1987)A Mark 1 Geographical Analysi…Using Geographically Weighted Models to Explore Temporal and Spatial Varying Impacts on Commute Trip Change Resulting from COVID-19 (2024)Using Geographically Weighted…Exploring spatial variations of US rock music concerts in relation to population demographics and leisure and hospitality industry (2022)Exploring spatial variations …Geographically weighted machine learning model for untangling spatial heterogeneity of type 2 diabetes mellitus (T2D) prevalence in the USA (2021)Geographically weighted machi…Using geographically weighted models to explore how crowdsourced landscape perceptions relate to landscape physical characteristics (2020)Using geographically weighted…It’s not all about price. The determinants of occupancy rates in peer-to-peer accommodation (2020)It’s not all about price. The…An Introduction to Applied Geostatistics (1991)Statistics for Spatial Data (1993)Interpolation of Spatial Data (1999)DiceKriging , DiceOptim : Two R Packages for the Analysis of Computer Experiments by Kriging-Based Metamodeling and Optimization (2012)GWmodel : An R Package for Exploring Spatial Heterogeneity Using Geographically Weighted Models (2015)Spatio-Temporal Interpolation using gstat (2016)STATISTICS FOR SPATIAL DATA (1992)Interactive Spatial Data Analysis (1995)Local Forms of Spatial Analysis (1999)Spatial statistics for urban analysis: A review of techniques with examples (2004)The GWmodel R package: further topics for exploring spatial heterogeneity using geographically weighted models (2014)Spatial statistics (1981)Mapping the Results of Geographically Weighted Regression (2006)Prediction accuracy in mass appraisal: a comparison of modern approaches (2013)Multiscale geographically and temporally weighted regression: exploring the spatiotemporal determinants of housing prices (2018)CHAPMAN AND HALL (1985)Spatial Autocorrelation: Trouble or New Paradigm? 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References

  • 2002Geographically Weighted Regression: The Analysis of Spatially Varying Relationships3,946 cited
  • 1996Geographically Weighted Regression: A Method for Exploring Spatial Nonstationarity3,562 cited
  • 2004Multivariable geostatistics in S: the gstat package3,015 cited
  • 1998Geographically Weighted Regression1,589 cited
  • 2010SAM: a comprehensive application for Spatial Analysis in Macroecology1,230 cited
  • 2005Geographically weighted Poisson regression for disease association mapping565 cited
  • 1987A Mark 1 Geographical Analysis Machine for the automated analysis of point data sets508 cited
  • 1999Some Notes on Parametric Significance Tests for Geographically Weighted Regression482 cited
  • 1998Geographically weighted regression - modelling spatial non-stationarity353 cited
  • 2002Geographically weighted summary statistics — a framework for localised exploratory data analysis283 cited
  • 2007Diagnostic Tools and a Remedial Method for Collinearity in Geographically Weighted Regression271 cited
  • 2008Spatial-Filtering-Based Contributions to a Critique of Geographically Weighted Regression (GWR)266 cited
  • 2006Incorporating spatial variation in housing attribute prices: a comparison of geographically weighted regression and the spatial expansion method264 cited
  • 2009Geographically Weighted Regression

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250 cited
  • 2010The Use of Geographically Weighted Regression for Spatial Prediction: An Evaluation of Models Using Simulated Data Sets191 cited
  • 2010Comparing spatially‐varying coefficients models for analysis of ecological data with non‐stationary and anisotropic residual dependence185 cited
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    • 2020Using geographically weighted models to explore how crowdsourced landscape perceptions relate to landscape physical characteristics77 cited
    • 2021Geographically weighted machine learning model for untangling spatial heterogeneity of type 2 diabetes mellitus (T2D) prevalence in the USA77 cited
    • 2020It’s not all about price. The determinants of occupancy rates in peer-to-peer accommodation25 cited
    • 2022Exploring spatial variations of US rock music concerts in relation to population demographics and leisure and hospitality industry7 cited
    • 2024Using Geographically Weighted Models to Explore Temporal and Spatial Varying Impacts on Commute Trip Change Resulting from COVID-196 cited