Description Usage Arguments Details Value Note Author(s) References Examples
This function provides the required figure (an autocorrelogram) to define the inter-event time definition (IETD) based on the autocorrelation analysis.
1 | AutoA(Time_series,MaxLag,CL,xlabel,ylabel)
|
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. |
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.
A list with a figure of lag time (in hours) vs ACF, i.e., an autocorrelogram, and a dataframe with its values.
To review the concept of IETD, go to the details of drawre
function.
Luis F. Duque <lfduquey@gmail.com> <l.f.duque-yaguache2@newcastle.ac.uk>
1 | AutoA(Time_series=hourly_time_series)
|
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