Project Information
- Category: Data Analytics
- Download Poster: Poster Extreme Weather
- Download Presentation: Extreme Weather Presentation
Objective
To analyze how climate factors such as freeze-thaw cycles, precipitation, and Humidex influence the Facility Condition Index (FCI) of buildings in Hamilton. This project also predicts how these factors will impact maintenance costs over the next 8 years, providing actionable insights for climate-resilient infrastructure management.
- Techniques:
- Data Integration: Geospatial mapping and merging of climate and building data
- Correlation Analysis: Scatter plots and correlation metrics
- Predictive Analytics: XGBoost and SPSS tools for modeling
- Scenario Testing: Sensitivity analysis of climate variables
- Models Used:
- XGBoost: Non-linear predictive modeling with high accuracy
- Statistical Regression: Exploring linear relationships between variables