mov.cor.dm

This function calculates running correlation between dendrometer series and provided climate variables. Users can choose methods such as pearson, kendall and spearman, see <code>cor.test</code> for further information.

There are various functions for managing and cleaning data before the application of different approaches. This includes identifying and erasing sudden jumps in dendrometer data not related to environmental change, identifying the time gaps of recordings, and changing the temporal resolution of data to different frequencies. Furthermore, the package calculates daily statistics of dendrometer data, including the daily amplitude of tree growth. Various approaches can be applied to separate radial growth from daily cyclic shrinkage and expansion due to uptake and loss of stem water. In addition, it identifies periods of consecutive days with user-defined climatic conditions in daily meteorological data, then check what trees are doing during that period.

Sugam Aryal

dendRoAnalyst

A Tool for Processing and Analyzing Dendrometer Data

Martin Häusser

Jussi Grießinger

Ze-Xin Fan

Achim Bräuning

mov.cor.dm function

<dl><dt>df</dt>
<dd>dataframe with first column containing date and time in the format <code>yyyy-mm-dd HH:MM:SS</code> and the dendrometer data in following columns.</dd>
<dt>Clim</dt>
<dd>dataframe with the first column containing <code>Date in yyyy-mm-dd</code> and second column containing corresponding climate data.</dd>
<dt>TreeNum</dt>
<dd>numerical value indicating the tree to be analysed. E.g. '1' refers to the first dendrometer data column in df.</dd>
<dt>win_size</dt>
<dd>numerical, the running days windows of which the correlation is to be calculated. The minimum value is 18.</dd>
<dt>cor_method</dt>
<dd>string, method to be applied during correlation calculation. One of the following: pearson, kendall and spearman</dd></dl>

Arguments

Calculating running correlation between dendrometer data and daily climate. — mov.cor.dm

<dl>

<dt>df</dt>
<dd>dataframe with first column containing date and time in the format <code>yyyy-mm-dd HH:MM:SS</code> and the dendrometer data in following columns.</dd>


<dt>Clim</dt>
<dd>dataframe with the first column containing <code>Date in yyyy-mm-dd</code> and second column containing corresponding climate data.</dd>


<dt>TreeNum</dt>
<dd>numerical value indicating the tree to be analysed. E.g. '1' refers to the first dendrometer data column in df.</dd>


<dt>win_size</dt>
<dd>numerical, the running days windows of which the correlation is to be calculated. The minimum value is 18.</dd>


<dt>cor_method</dt>
<dd>string, method to be applied during correlation calculation. One of the following: pearson, kendall and spearman</dd>

</dl>

mov.cor.dm: Calculating running correlation between dendrometer data and daily climate.

Description

Usage

Value

Arguments

Examples