Description Usage Arguments Value Author(s) References
This function predicts the location and month that had the highest risk of flooding in a given year. This is determined by calculating the location and month that have the greatest positive difference from the historic precipitation average.
1 | predict_flooding(precip_data, year)
|
precip_data |
Data frame that contains the following variables: water_year, Location, ID, month, and precip. |
year |
Year selected |
Location, month, mean historic precipitation, precipitation and difference between mean historic precipitation and precipitation of place with highest risk of flooding
Jamie Miller and Anna Calle
citations or urls
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