getTimingHSAM: Time of occurence of High Spectral Anomaly Magnitude (HSAM)

In discharge: Fourier Analysis of Discharge Data

Description

Compute the number of days separating HSAM and reference point for each year.

Usage

getTimingHSAM(index.hsam, index.ref, years, for.year = NULL)

Arguments

index.hsam	A scalar/vector of index of HSAM values in given year/years
index.ref	A scalar/vector of index of reference point in given year/years
years	A vector of years corresponding to HSAM and ref values. This argument can be NULL if the HSAM and ref values are scalars.
for.year	(optional) Calculate timing (HSAM) only for the given year in this argument. If argument is omitted, timing (HSAM) values for all years are calculated.

Value

Scalar timing HSAM value if the inputs are scalars, or a Data frame containing two Columns:

year	First column, represents year
timing.hsam	Second column, represents hsam timing values

Examples

# load sample data
data("sycamore")
x = sycamore

# get streamflow object for the sample data
x.streamflow = asStreamflow(x)

# prepare baseline signal 
x.bl = prepareBaseline(x.streamflow)

# get signal parts
x.sp = getSignalParts(x.bl$pred2, candmin = c(40:125), candmax = c(190:330),
                      years = x.streamflow$data$year, 
                      months = x.streamflow$data$month,
                      jdays = x.streamflow$data$jday)

# get HSAM values
hsam = getHSAM(x.bl$resid.sig, x.streamflow$data$year)

# timing HSAM
thsam = getTimingHSAM(hsam$Index.all, x.sp$peak.index, x.sp$year)

discharge documentation built on May 2, 2019, 5:54 a.m.