This project analyzes NEON surface water sensor data to explore the relationship between nitrate (NO₃) and turbidity at the CUPE site in Puerto Rico. Using R, the workflow retrieves data directly from the NEON API, applies quality filtering, and aggregates measurements to daily and monthly time scales. The analysis includes exploratory visualizations, correlation matrices, and scatter plots to evaluate how nutrient concentrations relate to changes in water clarity and sediment dynamics. The goal is to provide an exploratory framework for understanding nutrient transport and water quality patterns in freshwater ecosystems.

Juan Manuel Villegas

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