The findPeaks
function detects peaks in hydrometric time
series using run length encoding against a subset of threshlds.
Arguments
- x
R6 hydroImport object
- levels
The number of thresholds to apply against the time seires. Defaults to 100
- from
Set the location from where the thresholds should start. Defaults to the bottom 10% value.
- to
Set the location from where the thresholds should end Defaults to the maximum observed value.
- gaps
Used to pad out the run length encoding, prevents wobbly data showing multiple exceedances. Set to 96.
Examples
data(bewdley)
bewdley$hydroYearDay()
#> ℹ Calculating hydrological year and day
#> ✔ Calculating hydrological year and day [7.1s]
#>
peaksB <- riskyData::findPeaks(bewdley)
print(peaksB)
#> dateTime value
#> <POSc> <num>
#> 1: 2008-10-02 21:00:00 75.1
#> 2: 2008-10-08 06:00:00 213.0
#> 3: 2008-10-16 23:45:00 79.5
#> 4: 2008-10-22 10:30:00 94.8
#> 5: 2008-10-25 15:15:00 91.8
#> ---
#> 641: 2022-09-06 09:15:00 11.8
#> 642: 2022-09-09 14:30:00 11.6
#> 643: 2022-09-11 10:00:00 11.6
#> 644: 2022-09-26 20:30:00 12.2
#> 645: 2022-09-29 13:00:00 12.7
peaksB <- data.table::data.table(peaksB,
riskyData::hydroYearDay.POSIXct(peaksB$dateTime))
plot <- bewdley$plot(wrap = FALSE)
a <- plot + geom_point(data = peaksB, inherit.aes = FALSE,
aes(x = dateTime, y = value), colour = 'red') +
facet_wrap(~hydroYear, scales = 'free_x')
#> Error in geom_point(data = peaksB, inherit.aes = FALSE, aes(x = dateTime, y = value), colour = "red"): could not find function "geom_point"