06: Analyzing Wildfire Patterns in Colorado, Montana, Utah, and Wyoming Using Spatio-Temporal Methods

Music City Center 

In recent times, wildfires have posed significant threats to forest ecosystems, human communities, and economic assets. This study applies spatio-temporal techniques to analyze and predict wildfire patterns in the forests of Colorado, Montana, Utah, and Wyoming. Utilizing historical wildfire data, weather conditions, vegetation types, and topographic features, we aim to develop comprehensive models to identify high-risk areas and forecast future wildfire events. By integrating remote sensing data and geographic information systems (GIS), we perform detailed spatio-temporal analyses to uncover underlying patterns and trends. The findings from this research provide valuable insights for forest management, risk assessment, and wildfire mitigation strategies, contributing to more effective resource allocation and community preparedness.

Spatio-temporal analysis

Wildfire patterns

Forest Ecosystems

Risk assessment

Predictive modeling

Remote sensing 

Section on Statistical Computing