GeoShapley
A Game Theory Approach to Measuring Spatial Effects in Machine Learning Models
Bibliographic Data
| ID | 3145141 |
|---|---|
| Authors | Ziqi Li (0000-0002-6345-4347, Florida State University, corresponding author) |
| Year | 2024 |
| Volume | 114 |
| Issue | 7 |
| Pages | 1365-1385 |
| Publication date | 2024-08-08 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Annals of the American Association of Geographers (JOURNAL) |
| Journal identifiers | ISSN: 2469-4452 • E-ISSN: 2469-4460 |
| Publisher | Taylor & Francis (PUBLISHER • GB) |
| DOI | 10.1080/24694452.2024.2350982 |
| OpenAlex | W4399855228 |
| Language | EN |
| Citations received | 37 |
| References cited | 49 |
Cognitive psychology · Econometrics · Economics · Game theory · Machine learning · Mathematical economics · Computer Science · Data Analysis with R · Psychology · Soil Geostatistics and Mapping · Spatial and Panel Data Analysis · Artificial Intelligence
Spatially heterogeneous responses of urban vegetation phenology to urban morphology and climate in Chinese cities
Evolution and Its Driving Mechanisms of Water Resource Nexus among Urban-Cropland-Population-Industry-Ecology Compound Systems in the Yellow River Basin
Coupling effects assessment and multi-scenario simulation of ecosystem services and rural residents' well-being
Mapping heat-sensitive multimorbidity and adaptation mismatch with equity-oriented GeoAI techniques
Understanding built environment and intercity commuting using large-scale mobile phone signaling data
Urban heat exposure under extreme heatwaves
Unveiling the spatial nonlinear effect of county spatial structure on basic educational resource allocation
Activity Spaces in Multimodal Transportation Networks
Revealing the Impact of Polycentric Urban Structure on Cultivated Land Fragmentation Using Explainable Machine Learning
Explaining the urban mechanisms behind OpenStreetMap updates
Aligning green spaces with human activity
Understanding process differences in the impact of built–natural environments on compound heat–flood risks through urban physical characteristics
Geographical Gaussian Process Regression
Can Moran Eigenvectors Improve Machine Learning of Spatial Data? Insights From Synthetic Data Validation
Revealing key factors of heat-related illnesses using geospatial explainable AI model
Attribution analysis of urban social resilience differences under rainstorm disaster impact
Investigating nonlinear and spatially heterogeneous impacts of the built environment on urban vitality
Exploring the main and interactive effects of urban morphology on land surface temperature across different functional zones
Spatial-temporal assessment of urban heat vulnerability analysis based on local climate zone in Guangzhou-Foshan metropolis
Nonlinear and spatially heterogeneous effects of the built environment on urban flood resilience
Agglomeration under strain
Synergistic dynamics of the thermal-energy-carbon nexus in the Yangtze River Delta
Unraveling the impacts of multidimensional urban influencing factors on daytime and nighttime thermal environments across urban functional zones using SDGSAT-1 data and XGBoost-GeoShapley analysis
Differentiated street greenery cooling of road surfaces
Attributing the urban heat island effect to urban land use patterns with integrated machine learning and GeoShapley method
Learning from residuals
Attribution analysis of spatial mismatch between flood risk and public response
Spatiotemporal Evolution, Nonlinear Driving Mechanisms, and Targeted Remediation of Cropland Fragmentation in the Sichuan Basin
Examining the nonlinear and spatial heterogeneity of housing prices in urban Beijing
Where England's cities are growing
Paths to prosperity
Modeling and spatial analysis of heavy-duty truck CO2 using travel activities
Artificial intelligence in environmental remote sensing
Galax
Uncovering spatial patterns of environmental influence on the paces of active leisure travel
Paying lip service? An investigation into the spatial mismatch between younger and older adults' streetscape perceptual preference and visitation behavior
Artificial intelligence for spatial analysis in cities
An Introduction to the Bootstrap
Spatial Econometrics
European Union Regulations on Algorithmic Decision Making and a “Right to Explanation”
From local explanations to global understanding with explainable AI for trees
XAI—Explainable artificial intelligence
Explaining prediction models and individual predictions with feature contributions
MGWR
Definitions, methods, and applications in interpretable machine learning
Greedy function approximation
Random Forests
Measuring Impacts of Urban Environmental Elements on Housing Prices Based on Multisource Data—A Case Study of Shanghai, China
Incorporating Spatial Autocorrelation in Machine Learning Models Using Spatial Lag and Eigenvector Spatial Filtering Features
Extracting spatial effects from machine learning model using local interpretation method
Spatial Causality
Explainable heat-related mortality with random forest and SHapley Additive exPlanations (SHAP) models
Putting Mars into space. Non‐linearities and spatial effects in hedonic models
Multiscale Geographically Weighted Regression (MGWR)
Spatiotemporal Interpolation Using Graph Neural Network
Measuring the Unmeasurable
How Retailer Hierarchy Shapes Food Accessibility
| Citations per year | 37 |
|---|---|
| Citation span | 2025 - 2026 (2) |
| Highly cited | No |