About.

This work was developed during a data visualization course at the Harvard School of Engineering and Applied Sciences (SEAS) as an interactive tool aimed at supporting watershed managers in their understanding of our near-term climate shifts. The tool uses geospatial datasets which include future bioregions, land use/land cover, and geology in the northeastern US. These attributes were used to perform a principal component analysis and k-means clustering to find watershed analogs, hypothesizing that watershed managers could identify analogous watersheds currently situated in their future bioregion. Additionally, an analysis of the watershed’s current climate attributes was constructed using the same geospatial datasets and the iNaturalist API.

Click on the linked title to access the tool.