phase.sc {dendRoAnalyst} | R Documentation |
Application of the stem-cycle approach to calculate different phases, their duration and to plot them.
Description
This function analyses the dendrometer data using Stem-cycle approach (Downs et al. 1999; Deslauriers et al. 2011). A function that defines three phases: 1) Shrinkage, when the dendrometer reading is less than previous reading, 2) Expansion, when current reading is more than previous reading and 3) Increment, when current reading is higher than the previous maximum. Additionally, it calculates various statistics for each phase.
Usage
phase.sc(df, TreeNum, smoothing = NULL)
Arguments
df |
dataframe with first column containing date and time in the format |
TreeNum |
numerical value indicating the tree to be analysed. E.g. '1' refers to the first dendrometer data column in df. |
smoothing |
numerical value from 1 to 12 which indicates the length of the smoothing spline, i.e. 1 = 1 hour and 12 = 12 hours. Default is |
Value
A list of two dataframes. The first dataframe SC_cycle with cyclic phases along with various statistics and the second dataframe SC_phase with assigned phases for each data point.The dataframe SC_cycle contains the beginning, end, duration, magnitude and rate of each phase. The dataframe SC_phase contains time and corresponding phases during that time. The contents of SC_cycle are:
Columns | Description | |
Phase | Cyclic phases. 1, 2, and 3 for Shrinkage, Expansion, and Increment respectively. | |
start | Time when the corresponding phase starts. | |
end | Time when the corresponding phase ends. | |
Duration_h | Duration of the corresponding phase in hours. | |
Duration_m | Duration of the corresponding phase in minutes. | |
Magnitude | Radial/circumferential change during the corresponding phase in millimeters. | |
rate | Rate of Radial/circumferential change in micrometers per hour. | |
DOY | Day of year for the corresponding phase. |
References
Deslauriers A, Rossi S, Turcotte A, Morin H, Krause C (2011) A three-step procedure in SAS to analyze the time series from automatic dendrometers. Dendrochronologia 29:151–161. doi:10.1016/j.dendro.2011.01.008
Downes G, Beadle C, Worledge D (1999) Daily stem growth patterns in irrigated Eucalyptus globulus and E. nitens in relation to climate. Trees 14:102–111. doi:10.1007/PL00009752
Examples
library(dendRoAnalyst)
data(gf_nepa17)
sc.phase<-phase.sc(df=gf_nepa17, TreeNum=1, smoothing=12)
head(sc.phase[[1]],10)
head(sc.phase[[2]],10)