TROLLv3_daytimevar

Daytime variation parameters used by <code>TROLL</code>s models.

datasets

'TROLL' is coded in C++ and it typically simulates hundreds of
thousands of individuals over hundreds of years. The 'rcontroll' R package
is a wrapper of 'TROLL'. 'rcontroll' includes functions that generate inputs
for simulations and run simulations. Finally, it is possible to analyse
the 'TROLL' outputs through tables, figures, and maps taking advantage of
other R visualisation packages. 'rcontroll' also offers the possibility to
generate a virtual LiDAR point cloud that corresponds to a snapshot of
the simulated forest.

Sylvain Schmitt

rcontroll

Individual-Based Forest Growth Simulator 'TROLL'

Guillaume Salzet

Fabian Fischer

Isabelle Maréchaux

Jérôme Chave

TROLLv3_daytimevar function

A data frame with 24 rows and 5 variables:<dl>
<dt>starttime</dt>
<dd>starting time</dd>
 <dt>endtime</dt>
<dd>ending time</dd><dt>vardaytime_light</dt>
<dd>daily variation in irradiance relative to the mean
value of the day</dd>
 <dt>vardaytime_vpd</dt>
<dd>daily variation in vapour pressure
deficit relative to the mean value of the day</dd>
 <dt>vardaytime_T</dt>
<dd>daily
variation in temperature relative to the mean value of the day</dd></dl>

Format

TROLL daytime variation parameters — TROLLv3_daytimevar

A data frame with 24 rows and 5 variables:<dl>
<dt>starttime</dt>
<dd>starting time</dd>
 <dt>endtime</dt>
<dd>ending time</dd>

<dt>vardaytime_light</dt>
<dd>daily variation in irradiance relative to the mean
value of the day</dd>
 <dt>vardaytime_vpd</dt>
<dd>daily variation in vapour pressure
deficit relative to the mean value of the day</dd>
 <dt>vardaytime_T</dt>
<dd>daily
variation in temperature relative to the mean value of the day</dd>

</dl>

TROLLv3_daytimevar: `TROLL` daytime variation parameters

Description

Usage

Arguments

Format

See Also