GIS · GeoAI · Spatial Modeling · Scientific Computing
PhD Researcher · Open-source Developer
I am a PhD researcher in Geographic Information Science (GIS) with interests spanning GeoAI, spatial statistics, spatiotemporal modeling, traffic forecasting, environmental modeling, and geospatial software engineering.
My work focuses on connecting geographic theory, data-driven models, and reproducible software. I enjoy building research code into reusable open-source tools, from spatial statistical models and spatiotemporal neural networks to WebGIS platforms and scientific computing workflows.
- 🧠 Research: GeoAI · Spatial Statistics · Spatiotemporal Modeling · Traffic Forecasting
- 🌍 Geoscience: Environmental Modeling · Air Pollution · Geospatial Big Data
- 🧰 Engineering: Scientific Python · Research Software · WebGIS · GIS Platforms
- ❤️ Open source: building reusable tools, documentation, tutorials, and project templates for geospatial research
---
| Area | Focus | Projects |
|---|---|---|
| 🧠 GeoAI & Spatiotemporal AI | Explainability · traffic forecasting · graph learning | DH-STGCN · spatialshap |
| 📐 Spatial Statistics | GWR · spatial heterogeneity · space-time statistics | pyGWRx · GWRForge · pyGeoHet · pySTARMAx |
| 🗺️ Geospatial Analysis | KDE · surveying · interpolation | pyKDEX · pySurveying · soil_interpolation |
| 🌫️ Environmental Modeling | Atmospheric dispersion · WRF/AERMOD workflows | AERMODKit · WRFDoc · AERMODDoc |
| 🌐 WebGIS & Applications | Mapping platforms · domain applications | GeoPortalX · OMap · AirSimPortal · ZhiDun |
| 🛠️ Developer Tools | Repository standards · project tooling · UI frameworks | StarHub · RepoForge · Django Modern Admin · PlotLibre |
---
- WRFDoc — documentation and learning resources for the WRF model.
- AERMODDoc — documentation and learning resources for AERMOD.
- python-scientific-tutorial — scientific Python notes and reproducible examples.
- academic-homepage — source repository for my academic homepage.
I am currently interested in developing a coherent open-source research ecosystem around:
spatial heterogeneity · geographically weighted models · spatiotemporal forecasting · GeoAI · environmental simulation · scientific software engineering
The goal is not only to publish models, but also to make the associated implementations, experiments, documentation, and reusable tools easier to reproduce and extend.
- Email: hujinghao20@mails.ucas.ac.cn
- GitHub: @hujinghaoabcd
- Academic Homepage: academic-homepage



