The purpose of this research was to develop a GIS-based regression model that uses statistical and spatial tools to identify the most important factors for predicting levels of nitrogen (N) and phosphorus (P) in the Ontario portion of the Lake Erie watershed. A high-level overview of the methods used is shown in Figure 2 and more detailed approaches can be found in the respective links below.
Objective 1: Identify the factors known to influence N and P levels within the Lake Erie watershed, Ontario.
Objective 2: To develop the methodology required to quantify the factors used in the predictive model.
Objective 3: To develop and apply the GIS-based prediction model.
Objective 4: To assess the strengths and limitations of the regression models and the monitoring data used.
Figure 2. A high-level overview of the methods used to create a predictive model for nitrogen and phosphorous values in streams in the Lake Erie watershed.