getTimingLSAM: Time of occurence of Low Spectral Anomaly Magnitude (LSAM)

In discharge: Fourier Analysis of Discharge Data

Description

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

Usage

getTimingLSAM(index.lsam, index.ref, years = NULL, for.year = NULL)

Arguments

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

Value

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

year	First column, represents year
timing.lsam	Second column, represents lsam 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 LSAM values
lsam = getLSAM(x.bl$resid.sig, x.streamflow$data$year)

# timing LSAM
tlsam = getTimingLSAM(lsam$Index.all, x.sp$peak.index, x.sp$year)

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