AutoA: Autocorrelation analysis

In IETD: Inter-Event Time Definition

Description

This function provides the required figure (an autocorrelogram) to define the inter-event time definition (IETD) based on the autocorrelation analysis.

Usage

AutoA(Time_series,MaxLag,CL,xlabel,ylabel)

Arguments

Time_series	A dataframe. The first column contains the time and day of a rainfall pulse and the second one the depth of rainfall in each time step. The date must be as POSIXct class.
MaxLag	The maximum lag time to be analyzed (in hours). Default value 24.
CL	The confidence level of the autocorrelation function (ACF)(in percentage). Default value 95%.
xlabel	Label of the x-axis of the autocorrelogram.
ylabel	Label of the y-axis of the autocorrelogram.

Details

IETD is here defined as the lag time where the autocorrelation coefficient of rain pulses, i.e., the autocorrelation function(ACF), converges to zero \insertCiteJoo2014,Adams2000IETD. The analyst uses an autocorrelogram to define that value within a specific level of tolerance. This function is based on the function acf of the stats package.

Value

A list with a figure of lag time (in hours) vs ACF, i.e., an autocorrelogram, and a dataframe with its values.

Note

To review the concept of IETD, go to the details of drawre function.

Author(s)

Luis F. Duque <[e-mail]> <[e-mail]>

References

\insertAllCited

Examples

AutoA(Time_series=hourly_time_series)

IETD documentation built on March 13, 2020, 1:53 a.m.