Author: Grace Stewart
This project explores the relationship between monthly visitor counts in Hawaiʻi and key water quality indicators on Oʻahu. Using data from PacIOOS, the Surfrider Foundation, and the Hawaiʻi DBEDT Tourism Data Warehouse, this analysis examines how human activity may influence coastal ecosystems — including:
- Chlorophyll (μg/L)
- Turbidity (NTU)
- Water Temperature (°F)
- Salinity (PSU)
- Enterococcus (mpn/100mL)
The project includes data cleaning, regression analysis, and time-series modeling (SARIMAX) using Python.
To run this locally on your own machine, be sure to change the location containing your data as your data directory will differ.