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Fast Geographically Weighted Regression (FastGWR): a scalable algorithm to investigate spatial process heterogeneity in millions of observations
13 references·3 citing·38 second hop
Fast Geographically Weighted Regression (FastGWR): a scalable algorithm to investigate spatial process heterogeneity in millions of observations (2018)Fast Geographically Weighted Regression (…A massive geographically weighted regression model of walking-environment relationships (2018)A massive geographically weig…Single and Multiscale Models of Process Spatial Heterogeneity (2017)Single and Multiscale Models …Multiscale Geographically Weighted Regression (MGWR) (2017)Multiscale Geographically Wei…The Multiple Testing Issue in Geographically Weighted Regression (2015)The Multiple Testing Issue in…Geographical and Temporal Weighted Regression (GTWR) (2015)Geographical and Temporal Wei…Application of geographically weighted regression to the direct forecasting of transit ridership at station-level (2012)Application of geographically…Spatial-Filtering-Based Contributions to a Critique of Geographically Weighted Regression (GWR) (2008)Spatial-Filtering-Based Contr…Simultaneous Coefficient Penalization and Model Selection in Geographically Weighted Regression: The Geographically Weighted Lasso (2008)Simultaneous Coefficient Pena…Using Geographically Weighted Regression to Explore Local Crime Patterns (2007)Using Geographically Weighted…Diagnostic Tools and a Remedial Method for Collinearity in Geographically Weighted Regression (2007)Diagnostic Tools and a Remedi…Geographically Weighted Regression: The Analysis of Spatially Varying Relationships (2002)Geographically Weighted Regre…The geography of parameter space: an investigation of spatial non-stationarity (1996)The geography of parameter sp…Geographically Weighted Regression: A Method for Exploring Spatial Nonstationarity (1996)Geographically Weighted Regre…Inferring household size distribution and its association with the built environment using massive mobile phone data (2023)Inferring household size dist…Measuring Bandwidth Uncertainty in Multiscale Geographically Weighted Regression Using Akaike Weights (2020)Measuring Bandwidth Uncertain…Guns and Homicides: A Multiscale Geographically Weighted Instrumental Variables Approach (2019)Guns and Homicides: A Multisc…A Computer Movie Simulating Urban Growth in the Detroit Region (1970)STATISTICS FOR SPATIAL DATA (1992)Statistics for Spatial Data (1993)Geographically weighted regression and multicollinearity: dispelling the myth (2016)Geographically weighted regression with parameter-specific distance metrics (2016)Multiscale geographically and temporally weighted regression: exploring the spatiotemporal determinants of housing prices (2018)Spatial Econometrics: Methods and Models (1988)The role of distance in peri-urban national park use: Who visits them and how far do they travel? (2015)Spatially non-stationary relationships between urban residential land price and impact factors in Wuhan city, China (2016)Spatial and temporal heterogeneity of the impact of high-speed railway on urban economy: Empirical study of Chinese cities (2021)The Analysis of Spatial Association by Use of Distance Statistics (1992)Local Forms of Spatial Analysis (1999)Constructing the Spatial Weights Matrix Using a Local Statistic (2004)Inference in Multiscale Geographically Weighted Regression (2019)Multicollinearity and correlation among local regression coefficients in geographically weighted regression (2005)Geographically Weighted Regression (2009)Geographically weighted principal components analysis (2011)Il calcolo delle assicurazioni su gruppi di teste (1935)Geographically Weighted Regression (2003)Examining the influences of air quality in China's cities using multi‐scale geographically weighted regression (2019)Incorporating Spatial Autocorrelation in Machine Learning Models Using Spatial Lag and Eigenvector Spatial Filtering Features (2022)Local Indicators of Spatial Association—LISA (1995)All-scale spatial analysis of ecological data by means of principal coordinates of neighbour matrices (2002)A Simulation-Based Study of Geographically Weighted Regression as a Method for Investigating Spatially Varying Relationships (2011)Replication across space and time must be weak in the social and environmental sciences (2021)Social Change and Crime Rate Trends: A Routine Activity Approach (1979)The Truly Disadvantaged: The Inner City, The Underclass, and Public Policy. (1988)Spatial Heterogeneity in the Effects of Immigration and Diversity on Neighborhood Homicide Rates (2009)Social Change and Crime Rate Trends: A Routine Activity Approach (1979) (2010)Using geographically weighted regression for environmental justice analysis: Cumulative cancer risks from air toxics in Florida (2010)“Perception bias”: Deciphering a mismatch between urban crime and perception of safety (2020)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)Geographically and temporally weighted regression for modeling spatio-temporal variation in house prices (2010)An optimal parameters-based geographical detector model enhances geographic characteristics of explanatory variables for spatial heterogeneity analysis: cases with different types of spatial data (2020)Annals of the American association of geographers (2016)A Route Map for Successful Applications of Geographically Weighted Regression (2022)
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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
  • 2017Multiscale Geographically Weighted Regression (MGWR)1,381 cited
  • 2015Geographical and Temporal Weighted Regression (GTWR)621 cited
  • 1996The geography of parameter space: an investigation of spatial non-stationarity438 cited
  • 2012Application of geographically weighted regression to the direct forecasting of transit ridership at station-level377 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
  • 2007Using Geographically Weighted Regression to Explore Local Crime Patterns211 cited
  • 2015The Multiple Testing Issue in Geographically Weighted Regression173 cited
  • 2008Simultaneous Coefficient Penalization and Model Selection in Geographically Weighted Regression: The Geographically Weighted Lasso166 cited
  • 2017Single and Multiscale Models of Process Spatial Heterogeneity102 cited
  • 2018A massive geographically weighted regression model of walking-environment relationships36 cited

Cited by

  • 2020

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Measuring Bandwidth Uncertainty in Multiscale Geographically Weighted Regression Using Akaike Weights
89 cited
  • 2019Guns and Homicides: A Multiscale Geographically Weighted Instrumental Variables Approach19 cited
  • 2023Inferring household size distribution and its association with the built environment using massive mobile phone data5 cited