[!CAUTION]
forestTIMEis an experimental package and currently a work-in-progress. It is not an official product of the US Forest Service.
This R package contains functions to create annualized versions of FIA data. It can download raw FIA data from DataMart, merge required tables, interpolate between surveys, and re-estimate biomass and carbon from interpolated values. The output is a single dataframe with values for every tree in every year rather than the original panel design.
forestTIME is not on CRAN.
To install from r-universe:
install.packages("forestTIME", repos = c("https://cct-datascience.r-universe.dev", getOption("repos")))
To install from GitHub:
#install.packages("pak")
pak::pak("Evans-Ecology-Lab/forestTIME")
If you just want to download annualized FIA tables produced by forestTIME.builder, head over to the most recent release on Zenodo to download parquet files.
They can be read into R as dataframes with nanoparquet, for example.
See CONTRIBUTING.md
To cite this work, please use:
Scott E, Diaz R, Walker D, Steinberg D, Riemer K, Domke G, Walters B, Evans M (2025). “forestTIME: Generate Annualized Carbon and Biomass Estimates From FIA Data.” https://doi.org/10.5281/zenodo.17088598
Please also cite Westfall et al. (2024):
Westfall, J.A., Coulston, J.W., Gray, A.N., Shaw, J.D., Radtke, P.J., Walker, D.M., Weiskittel, A.R., MacFarlane, D.W., Affleck, D.L.R., Zhao, D., Temesgen, H., Poudel, K.P., Frank, J.M., Prisley, S.P., Wang, Y., Sánchez Meador, A.J., Auty, D., Domke, G.M., 2024. A national-scale tree volume, biomass, and carbon modeling system for the United States. U.S. Department of Agriculture, Forest Service. https://doi.org/10.2737/wo-gtr-104
Developed in collaboration with the University of Arizona CCT Data Science team