arXiv Open Access 2026

PyGALAX: An Open-Source Python Toolkit for Advanced Explainable Geospatial Machine Learning

Pingping Wang Yihong Yuan Lingcheng Li Yongmei Lu
Lihat Sumber

Abstrak

PyGALAX is a Python package for geospatial analysis that integrates automated machine learning (AutoML) and explainable artificial intelligence (XAI) techniques to analyze spatial heterogeneity in both regression and classification tasks. It automatically selects and optimizes machine learning models for different geographic locations and contexts while maintaining interpretability through SHAP (SHapley Additive exPlanations) analysis. PyGALAX builds upon and improves the GALAX framework (Geospatial Analysis Leveraging AutoML and eXplainable AI), which has proven to outperform traditional geographically weighted regression (GWR) methods. Critical enhancements in PyGALAX from the original GALAX framework include automatic bandwidth selection and flexible kernel function selection, providing greater flexibility and robustness for spatial modeling across diverse datasets and research questions. PyGALAX not only inherits all the functionalities of the original GALAX framework but also packages them into an accessible, reproducible, and easily deployable Python toolkit while providing additional options for spatial modeling. It effectively addresses spatial non-stationarity and generates transparent insights into complex spatial relationships at both global and local scales, making advanced geospatial machine learning methods accessible to researchers and practitioners in geography, urban planning, environmental science, and related fields.

Topik & Kata Kunci

Penulis (4)

P

Pingping Wang

Y

Yihong Yuan

L

Lingcheng Li

Y

Yongmei Lu

Format Sitasi

Wang, P., Yuan, Y., Li, L., Lu, Y. (2026). PyGALAX: An Open-Source Python Toolkit for Advanced Explainable Geospatial Machine Learning. https://arxiv.org/abs/2602.00907

Akses Cepat

Lihat di Sumber
Informasi Jurnal
Tahun Terbit
2026
Bahasa
en
Sumber Database
arXiv
Akses
Open Access ✓