The data are internal stem measures from 66 trees. The trees were selected as having been dominant throughout their lives with no visible evidence of damage or forks. The trees came from stands throughout the inland range of the species.
data(stage)
A data frame with 542 observations on the following 11 variables.
Tree.ID
A factor uniquely identifying the tree.
Forest
An integer distinguishing the forest.
HabType
An integer distinguishing the habitat type.
Decade
The decade of the trees life represented by the observation.
Dbhib
Diameter (in.) at 1.37 m (4'6'') inside bark.
Height
Height of tree (ft)
Age
Age of tree at felling
Forest.ID
The national forest in which the tree was felled.
Hab.ID
Daubenmmire's (1952) classification of the local growing conditions: Ts/Pac
Ts/Op
Th/Pach
AG/Pach
PA/Pach
dbhib.cm
Diameter (cm.) at 1.37 m (4'6'') inside bark.
height.m
Height of tree (m)
Quoting Stage (1963), "After felling, the total height was measured, and the age at breast height was determined by counting the rings on a crossection. Then, decadal height growth was measured, starting from the termination of the 1956 height growth. The count of whorls was checked by a ring count at every decadal point. ... Diameters at breast height (measuread along an average radius with a scale having 10 graduations per half inch) corresponding to each decadal height point were also recorded."
The national forests are: Kaniksu, Coeur d'Alene, St. Joe, Clearwater, Nez Perce, Clark Fork, Umatilla, Wallowa, and Payette.
Robinson, A.P., and J.D. Hamann. 2010. Forest Analytics with R: an Introduction. Springer.
# NOT RUN {
data(stage)
str(stage)
# }
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