dm.na.interpolation

This function detects gap(s) in time series, inserts the missing rows based on the provided temporal resolution and assings <code>NA</code> values to the corresponding value. If required the <code>NA</code> values can be replaced by spline interpolation using <code><a href="/link/na.spline?package=dendRoAnalyst&version=0.1.5" data-mini-rdoc="dendRoAnalyst::na.spline">na.spline</a></code> of the package zoo or seasonal interpolation considering the seasonality of the daily pattern using <code>na.interp</code> of the package forecast.

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

dm.na.interpolation 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 following columns with dendrometer data for the same temporal resolution and time period.</dd>
<dt>resolution</dt>
<dd>integer, indicating the resolution of dendrometer data in minutes.</dd>
<dt>fill</dt>
<dd>logical, if <code>TRUE</code> it fills the <code>NA</code> values using spline interpolation. Default is <code>FALSE</code>.</dd>
<dt>method</dt>
<dd>string, 'spline' for the spline interpolation or 'seasonal' for the seasonal interpolation.</dd></dl>

Arguments

This function detects gap(s) in time series, inserts the missing rows based on the provided temporal resolution and assings <code>NA</code> values to the corresponding value. If required the <code>NA</code> values can be replaced by spline interpolation using <code><a href='https://rdrr.io/pkg/zoo/man/na.approx.html'>na.spline</a></code> of the package zoo or seasonal interpolation considering the seasonality of the daily pattern using <code>na.interp</code> of the package forecast.

Detection and interpolation of missing values in dendrometer data. — dm.na.interpolation

<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 following columns with dendrometer data for the same temporal resolution and time period.</dd>


<dt>resolution</dt>
<dd>integer, indicating the resolution of dendrometer data in minutes.</dd>


<dt>fill</dt>
<dd>logical, if <code>TRUE</code> it fills the <code>NA</code> values using spline interpolation. Default is <code>FALSE</code>.</dd>


<dt>method</dt>
<dd>string, 'spline' for the spline interpolation or 'seasonal' for the seasonal interpolation.</dd>

</dl>

dm.na.interpolation: Detection and interpolation of missing values in dendrometer data.

Description

Usage

Value

Arguments

Examples