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Abstract by David Arthur

Personal Infomation


Presenter's Name

David Arthur

Co-Presenters

None

Degree Level

Masters

Co-Authors

Candace Berrett
Jessica Alvey
Gustavious Williams

Abstract Infomation


Department

Statistics

Faculty Advisor

Candace Berrett

Title

A Bayesian Spatio-Temporal Change Point Model for Identifying Urban Heat Islands in Utah

Abstract

An urban heat island (UHI) is an urban or metropolitan area that is signi cantly warmer than the areas surrounding it due to an increase in human activity, such as industrialization or urbanization. Over the years, research has shown that UHI's are related to many negative health outcomes for humans and for this reason it is becoming increasingly important to identify them and understand their effects. We propose a Bayesian spatio-temporal change point model as way of identifying changes in temperature trends over time at different locations across Utah using daily maximum temperature data from the Utah State University Climate Center (USUCC). We discuss how this model can be used to identify both the number of change points as well as periods in time at which these changes were occuring.