allometric

allometric provides structured allometric models for predicting tree attributes. Browse the model catalog and the publication catalog, or read the Using Models guide to install the package and predict with models.

Install the package from GitHub with devtools:

devtools::install_github("allometric/allometric")

Install the compiled model distribution locally:

library(allometric)
install_models()

The models are downloaded from the public models repository. Load them with:

allometric_models <- load_models()

Select a model and use it to predict stem volume from diameter outside bark at breast height (dsob, in cm) and total stem height (hst, in m):

poudel_model <- allometric_models |>
  dplyr::filter(pub_id == "poudel_2019") |>
  select_model("1bc22c7e")

predict(poudel_model, 12, 65)
#> 0.6231063 [m^3]

See the Using Models guide and the allometric package reference for more examples, model discovery, variable naming, and advanced prediction workflows.

To add models to the corpus, see the Contributing Models guide.