Abstract

In the past half century, wildfires in the United States have increased drastically in size, frequency, and severity. Most wildfires in the US are caused by humans in some form with the rest caused by lightning strikes. This increase is mostly due to historical wildfire suppression leading to a buildup of fuel, housing developments encroaching on wildland, and climate change exacerbating fire weather. Environmental wildfire impacts include tree cover loss and ecosystem destruction, wildlife health impacts from smoke, and significant soil and water quality issues such as erosion and waterway contamination. Societal wildfire impacts include infrastructure loss, negative human health impacts, and total direct and indirect economic costs. This research uses interactive data analysis in Shiny for Rstudio to examine increasing wildfires in the United States using seven total datasets mostly from the US government. The five interactive applications created allow users to analyze characteristics of individual fires across the US, wildfire risk to homes, demographics of risky areas, tree cover loss over time, and the seasonality of smoke. These applications, along with the accompanying background information, provide users with a detailed, data-driven account of the causes and effects of increasing wildfires in the United States.

Advisor

Long, Colby

Department

Statistical and Data Sciences

Disciplines

Physical Sciences and Mathematics

Publication Date

2025

Degree Granted

Bachelor of Arts

Document Type

Senior Independent Study Thesis

Share

COinS
 

© Copyright 2025 Laurel Andrews