ingrowth: Ingrowth imputation for permanent sample plots
In ogarciav/ingrowth: Imputing Ingrowth in Permanent Sample Plots

Description Usage Arguments Details Value References Examples

View source: R/ingrowth.R

Adds ingrowth records to a tree data frame

1	ingrowth(treedata, plotdata, plot, meas, tree, diam, thresh)

`treedata`	Tree data frame. Contains at least plot, measurement, and tree identifiers, and diameter values.
`plotdata`	Plot data frame. Contains at least a plot identifier, and the minimum diameter threshold for the plot.
`plot`	Name of the plot identifier in `treedata` and `plotdata`.
`meas`	Name of the measurement identifier in `treedata`.
`tree`	Name of the tree identifier in `treedata`.
`diam`	Name of the diameter values in `treedata`.
`thresh`	Name of the minimum diameter threshold in `treedata`.

The data should not include plots with substantial ingrowth at the oldest measurement. The measurement identifier values must be capable of being sorted in time, e.g., they could be consecutive integer indices, years, or dates. The other identifiers can be of any type (numbers, strings, or factors). It is advisable to discard measurements where the imputed ingrowth basal area is a large fraction of the total.

A data frame with treedata followed by the imputed ingrowth tree records. A logical variable named ingrowth is appended, containing FALSE for the observed trees and TRUE for the ingrowth. The values in the ingrowth records for variables other than the identifiers and diameters are inherited from later measurements and are often meaningless.

García, O. (2021)"Imputing Ingrowth in Even-aged Permanent Sample Plots". Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS) (to appear)

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 withIngrowth <- ingrowth(treeData, plotData, plot="PlotId",
                          meas = "MeasId", tree = "TreeId",
                          diam = "DBH", thresh = "Thresh")