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Tree Growth Workbench QGIS 4 compatibility
Not QGIS 4 ready Active
Not yet — the latest version declares max QGIS version 3.99.0, so it is not offered to QGIS 4 users.
Explainable AI for diagnosing urban-tree growth suitability through spatial validation, diagnosis maps and cell-level Shapley interpretation.
About
TreeSuit XAI is an explainable-AI research workbench for diagnosing urban-tree growth suitability. It combines spatial-block model comparison, locked-test validation, diagnosis rasters, reference-matched environmental Shapley waterfalls and two area-planting alternatives. Requires a separately installed scientific Python with numpy, pandas, scipy, scikit-learn, statsmodels, xgboost, shap, matplotlib, rasterio, joblib and Pillow; see the user guide and requirements.txt. No automatic dependency installation or data upload. The bundled model is Helsinki-specific. Tested on Windows with QGIS 3.40.11; Linux/macOS unverified; QGIS 4 not supported. Experimental screening, not planting approval. User-created joblib model packages must be trusted.
| Author | Yao Chaowen |
|---|---|
| Downloads | 123 |
| Latest version | 2.1.2 (experimental) |
| Last updated | 2026-09-05 (41 days ago) |
| Min QGIS | 3.40.0 |
| Max QGIS | 3.99.0 |
| QGIS 4 ready | No |
| Maintenance | Active |
| Categories | Spatial analysis, AI & machine learning |
| Tags | trees, carbon, suitability, spatial validation, shap, planting, explainable ai |
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Maintenance: Active = updated within 1 year, Quiet = 1–3 years, Likely abandoned = over 3 years.