3 papers
cs.LG2025
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…
nlin.SI2024
Nonlocal Symmetries of Two 2-component Equations of Camassa-Holm Type
Ziqi Li, Kai Tian
For a 2-component Camassa-Holm equation, as well as a 2-component generalization of the modified Camassa-Holm equation, nonlocal infinitesimal symmetries quadratically depending on…
cs.HC2023
GeoExplainer: A Visual Analytics Framework for Spatial Modeling Contextualization and Report Generation
Fan Lei, Yuxin Ma, Stewart Fotheringham +5
Geographic regression models of various descriptions are often applied to identify patterns and anomalies in the determinants of spatially distributed observations. These types of…