simulTS: Simulate one time series with disturbance

In RETURN-project/BenchmarkRecovery: Benchmark recovery indicators derived from remote sensing time series

Description

Simulate one time series with disturbance

Usage

simulTS(
  nyr,
  nobsyr,
  tMiss,
  nDr,
  seasAv,
  seasAmp,
  trAv,
  remSd,
  distMag,
  distT,
  distRec,
  distType
)

Arguments

nyr	number of years that need to be simulated
nobsyr	number of observations per year that will be simulated
tMiss	timing of missing values [observation number]. If tMiss equals NA, no missing values are introduced.
nDr	number of drought years that are introduced [i.e. setting seasonality of a year equal to its minimum value]. These drought years are randomly chosen.
seasAv	average seasonality profile
seasAmp	seasonality amplitude
trAv	offset value of time series
remSd	standard deviation of the remainder
distMag	magnitude of the disturbance
distT	timing of the disturbance [observation number]
distRec	duration of the recovery [number of observations]
distType	type of disturbance-recovery process: 'piecewise' represents a step function with linear recovery, 'exponential' represents an exponential decay
remMod	ARMA model of remainder

Value

a list containign the years for which a drought was introduced and a time series object, containing the simulated seasonality, trend, remainder, disturbance, and the sum of these components.

RETURN-project/BenchmarkRecovery documentation built on July 13, 2021, 5:47 p.m.