Geospatial Insights Lab (GIL) is an open community for geospatial researchers and builders. We turn research ideas into reproducible assets: code, data, baselines, and study notes.
Tagline: Paper → Code → Reproducibility → Collaboration
- Paper-to-Code: implement and verify methods from recent papers
- Benchmarks & baselines: strong baselines, clear metrics, ablations
- Reusable research assets: datasets, templates, checklists, and tutorials
- GeoAI & Geospatial Foundation Models (GeoFMs)
- Spatial analysis & computational geography
- Sustainable urban & environmental modelling
- Join discussions: https://github.com/orgs/Geospatial-Insights-Lab/discussions
- Ask questions, propose reading topics, or request reproductions
- Contribute via Issues / Pull Requests (PRs)
- Reproducibility first (environment, seeds, configs, clear data access)
- Transparent evaluation (metrics, splits, baselines, limitations)
- Research integrity (proper attribution an