network.interpolation: Interpolation of NA values using the dendrometer network

In dendRoAnalyst: A Tool for Processing and Analyzing Dendrometer Data

Interpolation of NA values using the dendrometer network

Description

A function to interpolate the missing data of a dendrometer with the help of other dendrometers from the same site, provided they have the same measurement period and temporal resolution.

Usage

network.interpolation(df, referenceDF, niMethod)

Arguments

df	dataframe with first column containing date and time in the format yyyy-mm-dd HH:MM:SS and dendrometer data in the second column and onward. The data gaps must be filled with NA using the gap.interpolation function.
referenceDF	dataframe with other dendrometers to be used as reference for the interpolation. The more dendrometers are included, the more robust will be the interpolation.
niMethod	string, either 'linear' or 'proportional' for interpolation method.

Value

A dataframe with NA values replaced by interpolated data.

Examples

library(dendRoAnalyst)
data("gf_nepa17")
df1<-gf_nepa17
# Creating an artificial reference dataset.
df2<-cbind(gf_nepa17,gf_nepa17[,2:3],gf_nepa17[,2:3])
# Creating gaps in dataset by replacing some of the reading with NA in dataset.
df1[40:50,3]<-NA
# Using proportional interpolation method.
df1_NI<-network.interpolation(df=df1, referenceDF=df2, niMethod='proportional')
head(df1_NI,10)

dendRoAnalyst documentation built on Nov. 16, 2022, 9:07 a.m.