stonePine1TreeData: Field recorded values for a stone pine tree

In treecm: Centre of Mass Assessment and Consolidation of Trees

Description

Required data for the assessment of the centre of mass have been recorded in the field for a stone pine (Pinus pinea L.). treeBiomass has already been run on the dataset, vectors have yet to be computed.

Format

The format is: List of 4 $ fieldData :'data.frame': 26 obs. of 10 variables: ..$ azimuth : int [1:26] 275 275 190 200 230 200 180 150 340 220 ... ..$ dBase : int [1:26] 73 41 15 22 15 18 7 6 16 13 ... ..$ dTip : num [1:26] 41 16 0 0 0 0 0 0 0 0 ... ..$ length : num [1:26] 10.2 3.9 NA NA NA NA NA NA NA NA ... ..$ tipD : num [1:26] 2.5 2.75 7.95 7.95 7.95 7.95 7.95 7.95 7.95 3.95 ... ..$ height : num [1:26] 0 10.2 10.1 10.4 10.4 ... ..$ tilt : num [1:26] 80 80 0 0 0 0 0 0 0 0 ... ..$ toBePruned: logi [1:26] FALSE FALSE FALSE FALSE FALSE FALSE ... ..$ pathToTip : logi [1:26] TRUE TRUE FALSE FALSE FALSE FALSE ... ..$ biomass : num [1:26] 1825 193 123 313 123 ... $ density : num 650 $ allometryFUN:function (x, diameter) $ branchesCM : num 1

Details

This dataset includes a list of 4 elements:

• the stonePine1FieldData dataset

• the density of wood

• the allometry function to be used to compute branches biomass

• the estimate of branches centre of mass

Source

Original data collected by the author

Examples

data(stonePine1TreeData)
vectors  <- treeVectors(stonePine1TreeData)
CM       <- centreOfMass(vectors)
summary(CM)
# The steps to recreate this dataset:
csvFileName <- system.file("data", "stonePine1FieldData.csv.gz", package = "treecm")
treeData <- importFieldData(csvFileName, 650, allometryABDC)
treeData <- treeBiomass(treeData)

treecm documentation built on May 1, 2019, 9:30 p.m.