stumplift {lmfor} | R Documentation |
Productivity of stump lifting machines.
Description
The productivity of stump lifting machines on three Norway Spruce (Picea Abies) clearcut areas (sites). Stumps are lifted for use as bioenergy. The data were collected from three sites in Central Finland.
Usage
data(stumplift)
Format
A data frame with 485 observations on the following 5 variables.
Stump
A unique stump id based on the order of processing. The successive numbers are usually close to each other in the clearcut area, but nearby trees do not necessarily have small difference in stump id.
Machine
The machine/clearcut/dirver combination. A factor with three levels.
Diameter
Stump diameter, cm.
Time
Processing time, seconds.
Productivity
Productivity,
m^3
/effective working hour
Details
Each site was operated with different machine and driver so that the
effect of site, machine and driver cannot be separated. The volume of each stump was
estimated using the function of Laitila (2008), based on the stump diameter.
A work system study was conducted to measure the processing time (seconds) and
productivity (m^3
/hour) for each stump.
References
Teijo Palander, Kalle Karha, Lauri Mehtatalo 2016. Applying polynomial regression modeling to productivity analysis of sustainable stump harvesting. Scandinavian Journal of Forest Reseach. doi:10.1080/02827581.2016.1238957
Teijo Palander, Janne Smolander, Kalle Karha, 2015. Work system study of three stump-lifting devices in Finland. Scandinavian Journal of Forest Research 30(6) 558-567, doi:10.1080/02827581.2015.1027731
Mehtatalo, Lauri and Lappi, Juha 2020. Biometry for Forestry and Environmental Data: with examples in R. New York: Chapman and Hall/CRC. 426 p. doi:10.1201/9780429173462
Examples
data(stumplift)
library(nlme)
modConstPow<-gls(Productivity~Machine+Machine*I((Diameter-70)^2),
data=stumplift,
weights=varPower(),
corr=corAR1(form=~Stump|Machine))