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Project Architecture

The United States Forest Service, under the United States Department of Agriculture, has developed a program to gather data on southern pine beetle movements in twenty US states. Over the past two years, Professors Carissa Aoki and Matt Ayres developed a statistical model (written in R) to predict southern pine beetle outbreaks in these states.

After developing the predictive model at Dartmouth College, Professors Aoki and Ayres approached the DALI Lab to build a tool that will visualize this data and feed the data to the predictive model to view results in an interactive format. This tool will also integrate map visualizations from ArcGIS that will show geographic information about all of the data.

Historical data exists in local file format. New data comes in during a 6-week trapping period each spring. All new data will come solely from an online survey tool called Survey123. This product will pull all new survey data coming from Survey123 to a MongoDB database. The front-end will then load data from MongoDB and store it on the front-end for visualization.

Contributors

• Thomas Monfre, Project Manager/Developer
• Madeline Hess, Developer
• Isabel Hurley, Developer
• Mo Zhu, Developer
• Emi Hayakawa, Designer
• Bella Jacoby, Designer