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This function generates a map visualizing the correlation between well water level changes and model-reported recharge. It colors divides based on whether the correlation is positive or negative. It also combines this map with a scatter plot showing the relationship between well water levels and model recharge.

Usage

ModelCorrMap(x, y = ModelScatterPlot, z = NewDivides)

Arguments

x

A data frame resulting from the `Correlation()` function, containing:

Divide

The divide ID.

correlation

The correlation coefficient between `mean_change_mm` and `deltaSTR`.

y

A `ggplot` object produced by the `ModelScatter` function, representing the scatter plot of well water level change vs. model recharge.

z

A spatial data frame (sf object) with divide information, including the `divide_id` column

Value

A combined `ggplot` object with the correlation map and scatter plot side by side.

Details

The function takes in the output from the `Correlation()` function and uses it to create a map that highlights divides with positive and negative correlations. It adds labels and includes various map features like scale and north arrow. The combined map and scatter plot provide a comprehensive view of the correlation analysis.