I-GUIDE VCO: Assessing the Economic Impact of Wildfire on Building Losses in Texas

Assessing the Economic Impact of Wildfire on Building Losses in Texas

November 6, 2024 1:00 pm (Central Time)

Abstract

This project introduced a method for assessing the economic impacts of wildfire on building losses in Texas, using multiple machine learning models. The results showed that the gradient boost performs the best with a MSE of 0.185; R2 score of 0.847.

This presentation represents the research conducted by one of the I-GUIDE Summer School Teams (August 2024, Boulder, Colorado).

Speakers

Jinyi Cai

Jinyi Cai

University of Iowa

Jinyi Cai is a Ph.D. student in GIS at the University of Iowa. My research interests are GeoAI, Geovisualization, environmental health and social vulnerability. My research aims to address social and environmental inequalities in responses to disasters and health crises. I am also interested in developing human-centric Geovisualization applications to enhance public health engagement and mitigate health disparities.

Zhenlei Song

Zhenlei Song

Texa A&M University

Zhenlei Song is a PhD candidate and graduate student researcher with the Department of Geography at Texas A&M University.