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Geographically weighted regression and multicollinearity: dispelling the myth
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-90-481-8572-6_21openalex-snapshot
Visualizing and Diagnosing Coefficients from Geographically Weighted Regression Models
inferredcites →https://doi.org/10.1007/s00477-007-0139-9openalex-snapshot
Quantifying geographic variations in associations between alcohol distribution and violence: a comparison of geographically weighted regression and spatially varying coefficient models
inferredcites →https://doi.org/10.1007/s10109-005-0155-6openalex-snapshot
Multicollinearity and correlation among local regression coefficients in geographically weighted regression
inferredcites →https://doi.org/10.1007/s10109-006-0040-yopenalex-snapshot
An assessment of coefficient accuracy in linear regression models with spatially varying coefficients
inferredcites →https://doi.org/10.1007/s10109-008-0073-5openalex-snapshot
Comparing spatially varying coefficient models: a case study examining violent crime rates and their relationships to alcohol outlets and illegal drug arrests
inferredcites →https://doi.org/10.1007/s10109-014-0199-6openalex-snapshot
Alleviating the effect of collinearity in geographically weighted regression
inferredcites →https://doi.org/10.1007/s10666-011-9289-8openalex-snapshot
Assessment of Spatiotemporal Varying Relationships Between Rainfall, Land Cover and Surface Water Area Using Geographically Weighted Regression
inferredcites →https://doi.org/10.1007/s11135-006-9018-6openalex-snapshot
A Caution Regarding Rules of Thumb for Variance Inflation Factors
inferredcites →https://doi.org/10.1016/j.ssresearch.2010.08.006openalex-snapshot
Using geographically weighted regression for environmental justice analysis: Cumulative cancer risks from air toxics in Florida
inferredcites →https://doi.org/10.1068/a38325openalex-snapshot
Diagnostic Tools and a Remedial Method for Collinearity in Geographically Weighted Regression
inferredcites →https://doi.org/10.1068/a40256openalex-snapshot
Simultaneous Coefficient Penalization and Model Selection in Geographically Weighted Regression: The Geographically Weighted Lasso
inferredcites →https://doi.org/10.1068/a44111openalex-snapshot
A Simulation-Based Study of Geographically Weighted Regression as a Method for Investigating Spatially Varying Relationships
inferredcites →https://doi.org/10.1080/13658816.2010.518147openalex-snapshot
Spatial nonstationarity and the scale of species–environment relationships in the Mojave Desert, California, USA
inferredcites →https://doi.org/10.1111/gean.12071openalex-snapshot
Geographical and Temporal Weighted Regression (GTWR)
inferredcites →https://doi.org/10.1111/gean.12084openalex-snapshot
The Multiple Testing Issue in Geographically Weighted Regression
inferredcites →https://doi.org/10.1111/j.1538-4632.1982.tb00055.xopenalex-snapshot
Multicollinearity and Parameter Estimates in a Linear Model
inferredcites →https://doi.org/10.1111/j.1538-4632.1999.tb00989.xopenalex-snapshot
Local Forms of Spatial Analysis
inferredcites →https://doi.org/10.1111/j.2041-210x.2010.00060.xopenalex-snapshot
Comparing spatially‐varying coefficients models for analysis of ecological data with non‐stationary and anisotropic residual dependence
inferredcites →https://doi.org/10.1177/0894439307298925openalex-snapshot
Using Geographically Weighted Regression to Explore Local Crime Patterns
inferredcites →https://doi.org/10.2307/1165261openalex-snapshot
Controlling Error in Multiple Comparisons, with Examples from State-to-State Differences in Educational Achievement
inferredcites →https://doi.org/10.2307/2290746openalex-snapshot
Introduction to Linear Regression Analysis.
inferredcites →https://doi.org/10.2307/2348054openalex-snapshot
Introduction to Linear Regression Analysis.
inferredcites →https://doi.org/10.2307/2581267openalex-snapshot
Regression Diagnostics -- Identifying Influential Data and Sources of Collinearity
inferredcites →https://doi.org/10.3102/10769986024001042openalex-snapshot
Controlling Error in Multiple Comparisons, with Examples from State-to-State Differences in Educational Achievement
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Quantifying water resource changes across natural and managed landscapes in the Indus Basin drainage catchments using satellite-informed machine learning–based downscaled GRACE data
inferred← citeshttps://doi.org/10.1016/j.ssci.2022.105722openalex-snapshot
Spatial predictions of harsh driving events using statistical and machine learning methods
inferred← citeshttps://doi.org/10.1016/j.sste.2020.100332openalex-snapshot
Assessing the spatial heterogeneity in black-white differences in optimal cardiovascular health and the impact of individual- and neighborhood-level risk factors: The Multi-Ethnic Study of Atherosclerosis (MESA)
inferred← citeshttps://doi.org/10.1016/j.sste.2022.100493openalex-snapshot
Spatiotemporal clustering patterns and sociodemographic determinants of COVID-19 (SARS-CoV-2) infections in Helsinki, Finland
inferred← citeshttps://doi.org/10.1016/j.sste.2022.100498openalex-snapshot
GIS-based spatio-temporal analysis and modeling of COVID-19 incidence rates in Europe
inferred← citeshttps://doi.org/10.1016/j.sste.2026.100838openalex-snapshot
Spatial disparity in zero-dose children in India: A multilevel geostatistical analysis using national sample data
inferred← citeshttps://doi.org/10.1016/j.tbs.2026.101344openalex-snapshot
Linking latent demand and safety risk: a multiscale geospatial approach to active transportation planning
inferred← citeshttps://doi.org/10.1016/j.techsoc.2020.101516openalex-snapshot
Information and communication technology (ICT), digital divide and urbanization: Evidence from Chinese cities
inferred← citeshttps://doi.org/10.1016/j.tourman.2022.104523openalex-snapshot
Contribution of streetscape features to the hedonic pricing model using Geographically Weighted Regression: Evidence from Amsterdam
inferred← citeshttps://doi.org/10.1016/j.tra.2024.103965openalex-snapshot
The proposed model for analyzing off-street parking Dynamics: A case study of Taipei City
inferred← citeshttps://doi.org/10.1016/j.trd.2023.103983openalex-snapshot
Spatiotemporal characteristics and driving factors of CO2 emissions from road freight transportation
inferred← citeshttps://doi.org/10.1016/j.trip.2023.100836openalex-snapshot
GIS-based spatiotemporal analysis for road traffic crashes; in support of sustainable transportation Planning
inferred← citeshttps://doi.org/10.1016/j.trip.2025.101448openalex-snapshot
Resilience of the transit-oriented built environment against COVID-19 transmission: Evidence from major urban communities in Wuhan city
inferred← citeshttps://doi.org/10.1016/j.uclim.2026.102969openalex-snapshot
Integrating multi-dimensional urban green space configuration in land surface temperature modelling: A seasonal and methodological evaluation for southern Delhi
inferred← citeshttps://doi.org/10.1016/j.wmb.2023.09.003openalex-snapshot
Assessment of urban solid waste management in a Class II Indian city using geospatial and statistical approaches: A case study of Rampurhat municipality
inferred← citeshttps://doi.org/10.1017/sus.2025.10009openalex-snapshot
Impact of green and blue spaces on ecosystem services in Beijing: spatiotemporal dynamics and driving mechanisms
inferred← citeshttps://doi.org/10.1029/2020gh000323openalex-snapshot
Spatial Analysis of Ambient Air Pollution and Cardiovascular Disease (CVD) Hospitalization Across Sweden
inferred← citeshttps://doi.org/10.1029/2021jd035542openalex-snapshot
Downscaling Hourly Air Temperature of WRF Simulations Over Complex Topography: A Case Study of Chongli District in Hebei Province, China
inferred← citeshttps://doi.org/10.1038/s41598-021-95351-6openalex-snapshot
Land cover matters to human well-being
inferred← citeshttps://doi.org/10.1038/s41598-022-13193-2openalex-snapshot
Exploring hot spots of short birth intervals and associated factors using a nationally representative survey in Bangladesh
inferred← citeshttps://doi.org/10.1038/s41598-025-06085-8openalex-snapshot
Analysis of spatiotemporal evolution and driving factors of ecological environment quality in the Ili-Balkhash Lake Basin in Central Asia
inferred← citeshttps://doi.org/10.1080/00167223.2023.2275037openalex-snapshot
Influence of built environment features on Airbnb listing price and the spatio-temporal heterogeneity: an empirical study from Copenhagen, Denmark
inferred← citeshttps://doi.org/10.1080/00949655.2017.1311896openalex-snapshot
Structure identification and variable selection in geographically weighted regression models
inferred← citeshttps://doi.org/10.1080/00949655.2020.1862112openalex-snapshot
A simple test for spatial heteroscedasticity in spatially varying coefficient models
inferred← citeshttps://doi.org/10.1080/09603123.2024.2362844openalex-snapshot
Assessment of spatial variation in lung cancer incidence and air pollutants: spatial regression modeling approach
inferred← citeshttps://doi.org/10.1080/10106049.2019.1614100openalex-snapshot
Geo-spatially modelling dengue epidemics in urban cities: a case study of Lahore, Pakistan
inferred← citeshttps://doi.org/10.1080/10106049.2021.1886341openalex-snapshot
Multispectral indices and individual-tree level attributes explain forest productivity in a pine clonal orchard of Northern Mexico
inferred← citeshttps://doi.org/10.1080/13658816.2019.1572895openalex-snapshot
A comment on geographically weighted regression with parameter-specific distance metrics
inferred← citeshttps://doi.org/10.1080/13658816.2021.1871618openalex-snapshot
A geographically weighted artificial neural network
inferred← citeshttps://doi.org/10.1080/13658816.2022.2029454openalex-snapshot
Geographically and temporally weighted co-location quotient: an analysis of spatiotemporal crime patterns in greater Manchester
inferred← citeshttps://doi.org/10.1080/13658816.2023.2209811openalex-snapshot
A linearization for stable and fast geographically weighted Poisson regression
inferred← citeshttps://doi.org/10.1080/13658816.2023.2270285openalex-snapshot
Multiscale spatially varying coefficient modelling using a Geographical Gaussian Process GAM
inferred← citeshttps://doi.org/10.1080/13658816.2024.2440600openalex-snapshot
On the calibration of multiscale geographically and temporally weighted regression models
inferred← citeshttps://doi.org/10.1080/14733285.2026.2720915openalex-snapshot
School choice as a relational urban process: networks and sociospatial inequality in Chile
inferred← citeshttps://doi.org/10.1080/1573062x.2024.2360180openalex-snapshot
Analysis of spatial pattern of water supply continuity in an Indian metropolis: a case study of Hyderabad
inferred← citeshttps://doi.org/10.1080/19439962.2020.1838679openalex-snapshot
Macro-level collision prediction using geographically weighted negative binomial regression
inferred← citeshttps://doi.org/10.1080/19475683.2020.1782469openalex-snapshot
Spatiotemporally Varying Coefficients (STVC) model: a Bayesian local regression to detect spatial and temporal nonstationarity in variables relationships
inferred← citeshttps://doi.org/10.1080/23754931.2018.1446354openalex-snapshot
Estimation of Spatial Association Between Housing Price and Local Environmental Amenities in Kolkata, India Using Hedonic Local Regression
inferred← citeshttps://doi.org/10.1080/24694452.2017.1352480openalex-snapshot
Multiscale Geographically Weighted Regression (MGWR)
inferred← citeshttps://doi.org/10.1080/24694452.2018.1425129openalex-snapshot
Geographically Weighted Elastic Net: A Variable-Selection and Modeling Method under the Spatially Nonstationary Condition
inferred← citeshttps://doi.org/10.1080/24694452.2018.1462691openalex-snapshot
The Importance of Scale in Spatially Varying Coefficient Modeling
inferred← citeshttps://doi.org/10.1080/24694452.2021.1985955openalex-snapshot
Geographically Weighted Regression Modeling for Multiple Outcomes
inferred← citeshttps://doi.org/10.1080/24694452.2022.2092443openalex-snapshot
Estimation and Inference of Special Types of the Coefficients in Geographically and Temporally Weighted Regression Models
inferred← citeshttps://doi.org/10.1088/1742-6596/1763/1/012046openalex-snapshot
Modelling the number of HIV/AIDS in Central Sulawesi
inferred← citeshttps://doi.org/10.1088/1755-1315/546/4/042015openalex-snapshot
Spatial-Temporal Pattern of Novel Coronavirus Pneumonia (COVID-19) in Europe
inferred← citeshttps://doi.org/10.1093/bjc/azx062openalex-snapshot
Integrating Social Disorganization and Routine Activity Theories and Testing the Effectiveness of Neighbourhood Crime Watch Programs: Case Study of Miami-dade County, 2007–15
inferred← citeshttps://doi.org/10.1093/jpe/rtad006openalex-snapshot
Prediction of potential suitable areas forBroussonetia papyriferain China using the MaxEnt model and CIMP6 data
inferred← citeshttps://doi.org/10.1093/ornithapp/duae032openalex-snapshot
Nonbreeding distributions of four declining Nearctic–Neotropical migrants are predicted to contract under future climate and socioeconomic scenarios
inferred← citeshttps://doi.org/10.1108/cg-10-2023-0432openalex-snapshot
Female board gender diversity and financing decisions of listed firms: nonlinear threshold evidence using simultaneous equation modeling
inferred← citeshttps://doi.org/10.1108/jerer-12-2018-0052openalex-snapshot
Local and global determinants of office rents in Istanbul
inferred← citeshttps://doi.org/10.1108/k-07-2021-0548openalex-snapshot
Healthcare under pressure: modelling COVID-19 fatalities with multiscale geographically weighted regressions
inferred← citeshttps://doi.org/10.1109/sgre53517.2022.9774070openalex-snapshot
Intrusion Detection Method Based on SMOTE Transformation for Smart Grid Cybersecurity
inferred← citeshttps://doi.org/10.1109/tgrs.2019.2944421openalex-snapshot
Spatially Explicit Model for Statistical Downscaling of Satellite Passive Microwave Soil Moisture
inferred← citeshttps://doi.org/10.1109/tgrs.2025.3561853openalex-snapshot
Understanding the Multiscale Relationships Between Grain Yields of Maize in China and Influencing Factors via Multiscale Geographically Weighted Regression Model
inferred← citeshttps://doi.org/10.1111/fog.70042openalex-snapshot
Assessing the Nonstationary Spatial Effects of Environmental Conditions on Illex argentinus in the Patagonian Region
inferred← citeshttps://doi.org/10.1111/gean.12133openalex-snapshot
A Comparison of Spatially Varying Regression Coefficient Estimates Using Geographically Weighted and Spatial‐Filter‐Based Techniques
inferred← citeshttps://doi.org/10.1111/gean.12136openalex-snapshot
Bayesian Spatial Filtering for Hedonic Models: An Application for the Real Estate Market
inferred← citeshttps://doi.org/10.1111/gean.12147openalex-snapshot
Single and Multiscale Models of Process Spatial Heterogeneity
inferred← citeshttps://doi.org/10.1111/gean.12163openalex-snapshot
A Simulation Study on Specifying a Regression Model for Spatial Data: Choosing between Autocorrelation and Heterogeneity Effects
inferred← citeshttps://doi.org/10.1111/gean.12229openalex-snapshot
Exploring Heterogeneities with Geographically Weighted Quantile Regression: An Enhancement Based on the Bootstrap Approach
inferred← citeshttps://doi.org/10.1111/gean.12310openalex-snapshot
Balancing Spatial and Non‐Spatial Variation in Varying Coefficient Modeling: A Remedy for Spurious Correlation
inferred← citeshttps://doi.org/10.1111/gean.12345openalex-snapshot
Navigating the Methodological Landscape in Spatial Analysis: A Comment on “A Route Map for Successful Applications of Geographically‐Weighted Regression”
inferred← citeshttps://doi.org/10.1111/gean.12346openalex-snapshot
The Right to Rule by Thumb: A Comment on Epistemology in “A Route Map for Successful Applications of Geographically‐Weighted Regression”
inferred← citeshttps://doi.org/10.1111/gean.12347openalex-snapshot
A Comment on “A Route Map for Successful Applications of Geographically‐Weighted Regression”: The Alternative Expressway to Defensible Regression‐Based Local Modeling
inferred← citeshttps://doi.org/10.1111/grow.12429openalex-snapshot
Unveiling various spatial patterns of determinants of hukou transfer intentions in China: A multi‐scale geographically weighted regression approach
inferred← citeshttps://doi.org/10.1111/jors.12458openalex-snapshot
Spatially varying relationships between municipal operating expenditure and its determinants: The case of South Africa
inferred← citeshttps://doi.org/10.1111/ppa.13692openalex-snapshot
Potential distribution of the citrus Mal Secco disease in the Mediterranean basin under current and future climate conditions
inferred← citeshttps://doi.org/10.1145/3757456openalex-snapshot
Beyond 'Geo' HCI: Exploring Cultural Dimensions of Disparity in OpenStreetMap Road Safety Metadata
inferred← citeshttps://doi.org/10.1155/er/5895887openalex-snapshot
Optimization of Charging Station Siting Based on Land Use and Atmospheric Pollution
inferred← citeshttps://doi.org/10.1155/sci5/6670733openalex-snapshot
Spatial Heterogeneity of Mangrove Changes and Its Local Driving Factors on the Southern Coast of Java Island, Indonesia
inferred← citeshttps://doi.org/10.11606/d.18.2024.tde-18032024-082450openalex-snapshot
Análise de efeitos espaciais para um problema de escolha modal: uma abordagem com ênfase na variabilidade espacial
inferred← citeshttps://doi.org/10.1161/jaha.119.012712openalex-snapshot
Sociodemographic Determinants of Acute Myocardial Infarction Hospitalization Risks in Florida
inferred← citeshttps://doi.org/10.1161/jaha.120.016556openalex-snapshot
Exploring the Spatial Patterning in Racial Differences in Cardiovascular Health Between Blacks and Whites Across the United States: The REGARDS Study
inferred← citeshttps://doi.org/10.1175/wcas-d-22-0063.1openalex-snapshot
Does the Climate Impact Satisfaction with Life? An Australian Spatial Study
inferred← citeshttps://doi.org/10.1177/0042098019896977openalex-snapshot
The spatial varying relationship between services of the train network and residential property values in Melbourne, Australia
inferred← citeshttps://doi.org/10.1177/03611981221126510openalex-snapshot
Segment-Level Spatial Heterogeneity of Arterial Crash Frequency Using Locally Weighted Generalized Linear Models
inferred← citeshttps://doi.org/10.1177/15333175251335570openalex-snapshot
Alzheimer’s Disease Dementia Prevalence in the United States: A County-Level Spatial Machine Learning Analysis
inferred← citeshttps://doi.org/10.1177/23998083231180610openalex-snapshot
Estimating household demand for transit-oriented development: A two-stage hedonic analysis in Kitchener-Waterloo, Canada
inferred← citeshttps://doi.org/10.1186/s12879-019-4580-4openalex-snapshot
Prediction mapping of human leptospirosis using ANN, GWR, SVM and GLM approaches
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