dtmax

Dataset consisting of the time series of the dTmax (the maximum temperature
difference between thermal dissipation sap flow probes under zero-flow
conditions) calculated by the successive predawn (SP), daily predawn (PD),
moving window (MW), double regression (DR), and environmental dependent (ED)
methods.

datasets

Provides a flexible framework for post-processing thermal
dissipation sap flow data using statistical methods and machine learning.
This framework includes anomaly correction, outlier removal, gap-filling,
trend removal, signal damping correction, and sap flux density calculation.
The functions in this package can also apply to other time series with
various artifacts.

Yoshiaki Hata

fluxfixer

Advanced Framework for Sap Flow Data Post-Process

dtmax function

A data frame with 17520 rows and 6 variables:<dl>
 <dt>time</dt>
<dd>Timestamp of the measurement end timing</dd> <dt>dtmax_sp</dt>
<dd>dTmax estimated by the SP method (degrees Celsius)</dd> <dt>dtmax_pd</dt>
<dd>dTmax estimated by the PD method (degrees Celsius)</dd> <dt>dtmax_mw</dt>
<dd>dTmax estimated by the MW method (degrees Celsius)</dd> <dt>dtmax_dr</dt>
<dd>dTmax estimated by the DR method (degrees Celsius)</dd> <dt>dtmax_ed</dt>
<dd>dTmax estimated by the ED method (degrees Celsius)</dd>
</dl>

Format

dTmax time series estimated by multiple methods — dtmax

A data frame with 17520 rows and 6 variables:<dl>
 <dt>time</dt>
<dd>Timestamp of the measurement end timing</dd>

 <dt>dtmax_sp</dt>
<dd>dTmax estimated by the SP method (degrees Celsius)</dd>

 <dt>dtmax_pd</dt>
<dd>dTmax estimated by the PD method (degrees Celsius)</dd>

 <dt>dtmax_mw</dt>
<dd>dTmax estimated by the MW method (degrees Celsius)</dd>

 <dt>dtmax_dr</dt>
<dd>dTmax estimated by the DR method (degrees Celsius)</dd>

 <dt>dtmax_ed</dt>
<dd>dTmax estimated by the ED method (degrees Celsius)</dd>


</dl>

dtmax: dTmax time series estimated by multiple methods

Description

Usage

Arguments

Format