Have you ever wondered how firefighters know when and where to do prescribed burns? Have you ever thought about how scientists figure out the health of an ecosystem? Our clients, researchers with the US Department of Agriculture and the US Forest Service, are some of the people that help answer these questions. Using more than 10 years of data, they have created a data set of predicted bird presence in several forests in the Western United States.
A good indicator of ecosystem health is the local population of birds. Analyzing data on predicted bird presence, wildfires, and forest management measures together will help the Forest Service to decide which management methods are the most effective, and how often they should be used.
We have built a web application that allows the predicted bird presence data that our clients have calculated to be easily displayed and exported. It is displayed as an interactive heatmap, and can be exported as a CSV file based on the selected birds. With this web app, our clients are able to easily view, query, and export all of the data they worked hard to calculate.
Alyssa Ortiz (Team Leader) - ao994@nau.edu
Andrew Ortega - alo248@nau.edu
Payton Watts - psw35@nau.edu
Tyler Chapp - tjc234@nau.edu
More About UsDr. Jamie Sanderlin - jamie.l.sanderlin@usda.gov
Dr. Ana Miller-ter Kuile - ana.miller-ter-kuile@nau.edu - ana.kuile@usda.gov
Dr. Kiona Ogle - Kiona.Ogle@nau.edu
Our mentor is Scott LaRocca, a current PhD student here at NAU. He has a multitude of experience in connecting data science and nature, and thus provides very important insight to our project.