102 citations · 108 across the 5 of their papers we have counts for
5 papers
Measuring Nonlinear Relationships and Spatial Heterogeneity of Influencing Factors on Traffic Crash Density Using GeoXAI
Jiaqing Lu, Ziqi Li, Lei Han +1
This study applies a Geospatial Explainable AI (GeoXAI) framework to analyze the spatially heterogeneous and nonlinear determinants of traffic crash density in Florida. By combinin…
Explainable AI in Spatial Analysis
Ziqi Li
This chapter discusses the opportunities of eXplainable Artificial Intelligence (XAI) within the realm of spatial analysis. A key objective in spatial analysis is to model spatial…
Can Moran Eigenvectors Improve Machine Learning of Spatial Data? Insights from Synthetic Data Validation
Ziqi Li, Zhan Peng
Moran Eigenvector Spatial Filtering (ESF) approaches have shown promise in accounting for spatial effects in statistical models. Can this extend to machine learning? This paper exa…
Exploring Spatial Context: A Comprehensive Bibliography of GWR and MGWR
A. Stewart Fotheringham, Chen-Lun Kao, Hanchen Yu +5
Local spatial models such as Geographically Weighted Regression (GWR) and Multiscale Geographically Weighted Regression (MGWR) serve as instrumental tools to capture intrinsic cont…
GeoShapley: A Game Theory Approach to Measuring Spatial Effects in Machine Learning Models
Ziqi Li
This paper introduces GeoShapley, a game theory approach to measuring spatial effects in machine learning models. GeoShapley extends the Nobel Prize-winning Shapley value framework…