Seismic loss prediction for residential buildings in Christchurch
Machine learning applied to insurance claims from the 2010–2011 Canterbury earthquake sequence.
This project applies data science and machine learning to residential building insurance claims from the 2010–2011 Canterbury earthquake sequence.
The research combines insurance claims with building characteristics and geospatial information to develop and evaluate seismic loss prediction models for Christchurch.
Read the paper in Natural Hazards and Earth System Sciences.