predict_flooding: Predict Flooding Risk

Description Usage Arguments Value Author(s) References

Description

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.

Usage

1
predict_flooding(precip_data, year)

Arguments

precip_data

Data frame that contains the following variables: water_year, Location, ID, month, and precip.

year

Year selected

Value

Location, month, mean historic precipitation, precipitation and difference between mean historic precipitation and precipitation of place with highest risk of flooding

Author(s)

Jamie Miller and Anna Calle

References

citations or urls


jkmiller-wildlife/PrecipPackage documentation built on June 18, 2019, 1:34 p.m.