The GWmodel R package
Further topics for exploring spatial heterogeneity using geographically weighted models
Bibliographic Data
| ID | 23326326 |
|---|---|
| Authors | Bin Lu (0000-0001-7847-7560, Wuhan University), Binbin Lu, Paul Harris (0000-0003-0259-4079, Rothamsted Research), Martin Charlton (0000-0002-0622-393X, National University of Ireland, Maynooth), C Brunsdon (0000-0003-4254-1780, National University of Ireland, Maynooth) |
| Year | 2014 |
| Volume | 17 |
| Issue | 2 |
| Pages | 85-101 |
| Publication date | 2014-04-03 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Geo-spatial Information Science (JOURNAL) |
| Journal identifiers | ISSN: 1009-5020 • E-ISSN: 1993-5153 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/10095020.2014.917453 |
| OpenAlex | W2083336903 |
| Language | EN |
| Citations received | 53 |
| References cited | 46 |
In this study, we present a collection of local models, termed geographically weighted \n(GW) models, that can be found within the GWmodel R package. A GW model suits \nsituations when spatial data are poorly described by the global form, and for some \nregions the localised fit provides a better description. The approach uses a moving \nwindow weighting technique, where a collection of local models are estimated at target \nlocations. Commonly, model parameters or outputs are mapped so that the nature of \nspatial heterogeneity can be explored and assessed. In particular, we present case \nstudies using: (i) GW summary statistics and a GW principal components analysis; (ii) \nadvanced GW regression fits and diagnostics; (iii) associated Monte Carlo significance \ntests for non-stationarity; (iv) a GW discriminant analysis; and (v) enhanced kernel \nbandwidth selection procedures. General Election data sets from the Republic of \nIreland and US are used for demonstration. This study is designed to complement a \ncompanion GWmodel study, which focuses on basic and robust GW models.
Complement (music) · Data mining · Econometrics · Kernel (algebra) · Monte Carlo method · Principal component analysis · R package · Spatial heterogeneity · Statistics · Weighting · Artificial Intelligence · Computer Science · Economic and Environmental Valuation · Land Use and Ecosystem Services · Mathematics · Spatial and Panel Data Analysis
The Economy as a Complex Spatial System
Spatiotemporal quantification of electric vehicle charging carbon footprint for urban governance
Exploring the small-scale spatial distribution of hypertension and its association to area deprivation based on health insurance claims in Northeastern Germany
Spatial determinants of excess all-cause mortality during the first wave of the Covid-19 epidemic in France
Dominant Modes of Agricultural Production Helped Structure Initial Covid-19 Spread in the U.S. Midwest
Selecting Prices Determinants and Including Spatial Effects in Peer-to-Peer Accommodation
Investigating Metropolitan Hierarchies through a Spatially Explicit (Local) Approach
Spatial Analysis of Housing Prices and Market Activity with the Geographically Weighted Regression
Comparison of Local Spatial Deviation Indicators with Their Associated Tests
Encapsulating Spatially Varying Relationships with a Generalized Additive Model
Ecological Associations between Obesity Prevalence and Neighborhood Determinants Using Spatial Machine Learning in Chicago, Illinois, USA
Spatiotemporal Change in Livestock Population and Its Correlation with Meteorological Disasters during 2000–2020 across Inner Mongolia
Mapping Urban Environmental Stress in Barcelona
Portraying the spatial dynamics of urban vibrancy using multisource urban big data
Investigating the spatiotemporal pattern between the built environment and urban vibrancy using big data in Shenzhen, China
Perceived leisure service benefits of peri-urban community green Spaces
Beyond discrete indicators
Gwverse
Hybridizing Geographically Weighted Regression and Multilevel Models
A Route Map for Successful Applications of Geographically Weighted Regression
Sub‐Model Aggregation for Scalable Eigenvector Spatial Filtering
Harnessing Spatial Heterogeneity in Composite Indicators through the Ordered Geographically Weighted Averaging ( Ogwa ) Operator
Balancing Spatial and Non‐Spatial Variation in Varying Coefficient Modeling
More bark than bytes? Reflections on 21+ years of geocomputation
Uncovering spatial heterogeneity in real estate prices via combined hierarchical linear model and geographically weighted regression
Using geographical random forest models to explore spatial patterns in the neighborhood determinants of hypertension prevalence across chicago, illinois, USA
Distance metric choice can both reduce and induce collinearity in geographically weighted regression
Toward green equity
Spatial disparities of self-reported Covid-19 cases and influencing factors in Wuhan, China
Context sensitivity of surface urban heat island at the local and regional scales
One size does not fit all”
Driving forces of population change following the Canterbury Earthquake Sequence, New Zealand
Comparing Global and Spatial Composite Measures of Neighborhood Socioeconomic Status Across US Counties
Local modeling as a solution to the lack of stop-level ridership data
Spatial-interaction network analysis of built environmental influence on daily public transport demand
Spatial Variability Analysis of Quality of Life and Its Determinants
Beyond global metrics
Unraveling the determinants of intra-city commuting flows with a spatially weighted interaction model
Geodemographics and residential differentiation
Changes of forestland in China's coastal areas (1996-2015)
Spatial heterogeneity modeling of city prosperity using GWt-test
Armed Conflict and Fertility in Colombia, 2000–2010
Global and local correlations of Hajnal’s household formation markers in historical Europe
The Spatially Varying Components of Vulnerability to Energy Poverty
Nighttime light imagery or mobile phone footprints
How to identify widespread corruption? New insights from geo‐spatial analysis
A Spatial Composite Indicator for Human and Ecosystem Well-Being in the Italian Urban Areas
Geographically Weighted Cause-Specific Hazard Model with Application to Prostate Cancer
Stream Distance-Based Geographically Weighted Regression for Exploring Watershed Characteristics and Water Quality Relationships
Scalable GWR
The Application of a Geographically Weighted Principal Component Analysis for Exploring Twenty-three Years of Goat Population Change across Mongolia
The Importance of Scale in Spatially Varying Coefficient Modeling
Geographically Weighted Regression Modeling for Multiple Outcomes
Regression Diagnostics
Applied Spatial Statistics for Public Health Data
Density Estimation for Statistics and Data Analysis
Multicollinearity and correlation among local regression coefficients in geographically weighted regression
Generalized Additive Models
Geographically and temporally weighted regression for modeling spatio-temporal variation in house prices
Geographically weighted regression with a non-Euclidean distance metric
Geographically weighted Poisson regression for disease association mapping
GWmodel
Multiple Hypothesis Testing
The control of the false discovery rate in multiple testing under dependency
Some Notes on Parametric Significance Tests for Geographically Weighted Regression
Geographically Weighted Regression
Controlling the False Discovery Rate
Geographically Weighted Regression
Limited-dependent and qualitative variables in econometrics
Robust Geographically Weighted Regression
Researching Volunteered Geographic Information
A Simulation-Based Study of Geographically Weighted Regression as a Method for Investigating Spatially Varying Relationships
Diagnostic Tools and a Remedial Method for Collinearity in Geographically Weighted Regression
Statistical Tests for Spatial Nonstationarity Based on the Geographically Weighted Regression Model
Spatial-Filtering-Based Contributions to a Critique of Geographically Weighted Regression (GWR)
A General Framework for Estimation and Inference of Geographically Weighted Regression Models
Simultaneous Coefficient Penalization and Model Selection in Geographically Weighted Regression
| Unique citing works | 53 |
|---|---|
| Citations per year | 5,89 |
| Citation span | 2017 - 2026 (10) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 53 |