Description Usage Arguments Value
Function aggregates gage-level output into county-level output. This is
the same as the county_aggregates
function but it summarizes by
county and date range instead of just county.
1 | county_aggregates2(flood_stats, county_cd)
|
flood_stats |
Data frame of gage-level output from |
county_cd |
Character vector with the county FIPS code(s) |
A data frame with the following columns:
Name | Type | Description |
county_cd | character | FIPS code of gage county location |
start_date | date | Input start date |
end_date | date | Input end date |
county | character | County name |
state | character | State name |
num_gage | numeric | Number of analyzed gages in county |
max_peak | numeric | Maximum observed flood ratio |
avg_peak | numeric | Average flood ratio among county gages |
minor | numeric | Percentage of gages at or above "minor" flood class (flood ratio > 1) |
moderate | numeric | Percentage of gages at or above "moderate" flood class (flood ratio > 1.5) |
major | numeric | Percentage of gages at or above "major" flood class (flood ratio > 2) |
extreme | numeric | Percentage of gages at or above "extreme" flood class (flood ratio > 5) |
max_dur | numeric | Maximum flood duration in county |
avg_dur | numeric | Average flood duration in county |
If threshold = "NWS", the columns "minor", "moderate", "major", and "extreme" are replaced with two columns: "no_flood" and "yes_flood" which show the percentage of gages in the county with or without flooding.
Internal function used within long_term_flood
function.
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