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Spatial-Filtering-Based Contributions to a Critique of Geographically Weighted Regression (GWR)
14 references·16 citing·40 second hop
Spatial-Filtering-Based Contributions to a Critique of Geographically Weighted Regression (GWR) (2008)Spatial-Filtering-Based Contributions to …Spatial Autocorrelation and Spatial Filtering: Gaining Understanding Through Theory and Scientific Visualization (2012)Spatial Autocorrelation and S…Spatial Accuracy Assessment: Land Information Uncertainty in Natural Resources (2007)Spatial Accuracy Assessment: …Semiparametric Filtering of Spatial Autocorrelation: The Eigenvector Approach (2007)Semiparametric Filtering of S…Diagnostic Tools and a Remedial Method for Collinearity in Geographically Weighted Regression (2007)Diagnostic Tools and a Remedi…SPATIAL MODELING IN ECOLOGY: THE FLEXIBILITY OF EIGENFUNCTION SPATIAL ANALYSES (2006)SPATIAL MODELING IN ECOLOGY: …Multicollinearity and correlation among local regression coefficients in geographically weighted regression (2005)Multicollinearity and correla…Spatial Autocorrelation and Spatial Filtering (2003)Spatial Autocorrelation and S…Geographically Weighted Regression: The Analysis of Spatially Varying Relationships (2002)Geographically Weighted Regre…All-scale spatial analysis of ecological data by means of principal coordinates of neighbour matrices (2002)All-scale spatial analysis of…A linear regression solution to the spatial autocorrelation problem (2000)A linear regression solution …The Exact Distribution of Moran's I (1995)The Exact Distribution of Mor…Local Indicators of Spatial Association—LISA (1995)Local Indicators of Spatial A…Applications of the expansion method (1993)Applications of the expansion…Assessing the Significance of a Spatial Correlogram (1984)Assessing the Significance of…Direct and spillover effects of new-type urbanization on CO2 emissions from central heating sector and EKC analyses: Evidence from 144 cities in China (2023)Direct and spillover effects …Replication across space and time must be weak in the social and environmental sciences (2021)Replication across space and …Principal component analysis for geographical data: the role of spatial effects in the definition of composite indicators (2020)Principal component analysis …The Importance of Scale in Spatially Varying Coefficient Modeling (2018)The Importance of Scale in Sp…Fast Geographically Weighted Regression (FastGWR): a scalable algorithm to investigate spatial process heterogeneity in millions of observations (2018)Fast Geographically Weighted …Single and Multiscale Models of Process Spatial Heterogeneity (2017)Single and Multiscale Models …Geographically weighted regression with parameter-specific distance metrics (2016)Geographically weighted regre…A Moran coefficient-based mixed effects approach to investigate spatially varying relationships (2016)A Moran coefficient-based mix…Random effects specifications in eigenvector spatial filtering: a simulation study (2015)Random effects specifications…GWmodel: an R Package for Exploring Spatial Heterogeneity using Geographically Weighted Models (2013)GWmodel: an R Package for Exp…Regional Unemployment in the EU before and after the Global Crisis (2012)Regional Unemployment in the …Geospatial examination of lithium in drinking water and suicide mortality (2012)Geospatial examination of lit…Data-Driven Regionalization of Housing Markets (2012)Data-Driven Regionalization o…A Simulation-Based Study of Geographically Weighted Regression as a Method for Investigating Spatially Varying Relationships (2011)A Simulation-Based Study of G…Geographically Weighted Regression (2009)Geographically Weighted Regre…Comparing spatially varying coefficient models: a case study examining violent crime rates and their relationships to alcohol outlets and illegal drug arrests (2008)Comparing spatially varying c…A Computer Movie Simulating Urban Growth in the Detroit Region (1970)Spatial Interaction and the Statistical Analysis of Lattice Systems (1974)Spatial Processes, Models and Applications (1983)A History of the Concept of Spatial Autocorrelation: A Geographer's Perspective (2008)Spatial Autocorrelation (2009)New Approaches for Calculating Moran’s Index of Spatial Autocorrelation (2013)Spatial Processes: Models and Applications (1982)Spatial Econometrics: Methods and Models (1988)Red herrings revisited: spatial autocorrelation and parameter estimation in geographical ecology (2007)MODELING SPATIAL AUTOCORRELATION IN SPATIAL INTERACTION DATA: AN APPLICATION TO PATENT CITATION DATA IN THE EUROPEAN UNION* (2008)Spatial autocorrelation and the scaling of species–environment relationships (2010)Time Series Analysis: Forecasting and Control (1977)Time Series Analysis: Forecasting and Control (1977)Directional Autocorrelation: An Extension of Spatial Correlograms to Two Dimensions (1986)Spatial autocorrelation and sampling design in plant ecology (1990)STATISTICS FOR SPATIAL DATA (1992)The Analysis of Spatial Association by Use of Distance Statistics (1992)Spatial Autocorrelation: Trouble or New Paradigm? (1993)Modelling directional spatial processes in ecological data (2008)Coefficient shifts in geographical ecology: an empirical evaluation of spatial and non‐spatial regression (2009)Principal Component Analysis on Spatial Data: An Overview (2012)Local Spatial Autocorrelation Statistics: Distributional Issues and an Application (1995)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)Spatial pattern and ecological analysis (1989)Spatial analysis a guide for ecologists (2005)Spatial Analysis (2005)Spatial modelling: a comprehensive framework for principal coordinate analysis of neighbour matrices (PCNM) (2006)Estimation Methods for Models of Spatial Interaction (1975)Spatial Data Analysis in the Social and Environmental Sciences (1990)Properties of Tests for Spatial Dependence in Linear Regression Models (1991)Testing for Spatial Error Autocorrelation in the Presence of Endogenous Regressors (1997)Estimates of Time to Economic Convergence: An Analysis of Regions of the European Union (1999)Methods to account for spatial autocorrelation in the analysis of species distributional data: a review (2007)A measure of spatial stratified heterogeneity (2016)Cross‐validation strategies for data with temporal, spatial, hierarchical, or phylogenetic structure (2016)GeoDa : An Introduction to Spatial Data Analysis (2005)Spatial Regression Models for Demographic Analysis (2007)Dimension Reduction and Alleviation of Confounding for Spatial Generalized Linear Mixed Models (2012)Spatio-temporal pattern of China's rural development: A rurality index perspective (2015)
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References

  • 1995Local Indicators of Spatial Association—LISA13,061 cited
  • 2002Geographically Weighted Regression: The Analysis of Spatially Varying Relationships3,946 cited
  • 2002All-scale spatial analysis of ecological data by means of principal coordinates of neighbour matrices1,999 cited
  • 2005Multicollinearity and correlation among local regression coefficients in geographically weighted regression807 cited
  • 2006SPATIAL MODELING IN ECOLOGY: THE FLEXIBILITY OF EIGENFUNCTION SPATIAL ANALYSES638 cited
  • 2003Spatial Autocorrelation and Spatial Filtering559 cited
  • 2012Spatial Autocorrelation and Spatial Filtering: Gaining Understanding Through Theory and Scientific Visualization407 cited
  • 2007Semiparametric Filtering of Spatial Autocorrelation: The Eigenvector Approach326 cited
  • 1984Assessing the Significance of a Spatial Correlogram312 cited
  • 1995The Exact Distribution of Moran's I311 cited
  • 2000A linear regression solution to the spatial autocorrelation problem272 cited
  • 2007Diagnostic Tools and a Remedial Method for Collinearity in Geographically Weighted Regression271 cited
  • 2007Spatial Accuracy Assessment: Land Information Uncertainty in Natural Resources144 cited
  • 1993Applications of the expansion method73 cited

Cited by

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  • 2009Geographically Weighted Regression250 cited
  • 2011A Simulation-Based Study of Geographically Weighted Regression as a Method for Investigating Spatially Varying Relationships239 cited
  • 2021Replication across space and time must be weak in the social and environmental sciences157 cited
  • 2016Geographically weighted regression with parameter-specific distance metrics155 cited
  • 2008Comparing spatially varying coefficient models: a case study examining violent crime rates and their relationships to alcohol outlets and illegal drug arrests121 cited
  • 2013GWmodel: an R Package for Exploring Spatial Heterogeneity using Geographically Weighted Models111 cited
  • 2015Random effects specifications in eigenvector spatial filtering: a simulation study109 cited
  • 2017Single and Multiscale Models of Process Spatial Heterogeneity102 cited
  • 2016A Moran coefficient-based mixed effects approach to investigate spatially varying relationships95 cited
  • 2018Fast Geographically Weighted Regression (FastGWR): a scalable algorithm to investigate spatial process heterogeneity in millions of observations92 cited
  • 2023Direct and spillover effects of new-type urbanization on CO2 emissions from central heating sector and EKC analyses: Evidence from 144 cities in China91 cited
  • 2018The Importance of Scale in Spatially Varying Coefficient Modeling90 cited
  • 2012Data-Driven Regionalization of Housing Markets89 cited
  • 2012Geospatial examination of lithium in drinking water and suicide mortality87 cited
  • 2020Principal component analysis for geographical data: the role of spatial effects in the definition of composite indicators85 cited
  • 2012Regional Unemployment in the EU before and after the Global Crisis81 cited