Data Science — Urban Forest Risk Assessment - Sprint 1 complete - Sprint 2 In Progress (20%)#1721
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Data Science — Urban Forest Risk Assessment - Sprint 1 complete - Sprint 2 In Progress (20%)#1721
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Initial setup: - "playground" folder organisation - requirements file for virtual environment - notebook test (to check vscode config
EDA for all datasets being used. gitignore for data and venv files
All datasets cleaned and CRS aligned
Trees linked to nearest microclimate and soil sensors
- Engineered weather features (rolling averages, drought, heatwave) - Assembled everything into a feature table for ML model next
- Initial setup - Data preparation for ML risk scoring
aidanuni
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Layer 1 — Data Pipeline & Feature Engineering (complete)
Layer 2 — ML Risk Scoring (in progress)