Package: rFIA
Type: Package
Title: Estimation of Forest Variables using the FIA Database
Version: 1.1.3
Authors@R: c(person("Jeffrey", "Doser", role=c("aut", "cre"), email="jwdoser@ncsu.edu"), person("Hunter", "Stanke", role=c("aut")), person("Andrew", "Finley", role = c("aut")))
Author: Jeffrey Doser [aut, cre],
  Hunter Stanke [aut],
  Andrew Finley [aut]
Maintainer: Jeffrey Doser <jwdoser@ncsu.edu>
Description: The goal of 'rFIA' is to increase the accessibility and use of the United States Forest Services (USFS) Forest Inventory and Analysis (FIA) Database by providing a user-friendly, open source toolkit to easily query and analyze FIA Data. Designed to accommodate a wide range of potential user objectives, 'rFIA' simplifies the estimation of forest variables from the FIA Database and allows all R users (experts and newcomers alike) to unlock the flexibility inherent to the Enhanced FIA design. Specifically, 'rFIA' improves accessibility to the spatial-temporal estimation capacity of the FIA Database by producing space-time indexed summaries of forest variables within user-defined population boundaries. Direct integration with other popular R packages (e.g., 'dplyr', 'tidyr', and 'sf') facilitates efficient space-time query and data summary, and supports common data representations and API design. The package implements design-based estimation procedures outlined by Bechtold & Patterson (2005) <doi:10.2737/SRS-GTR-80>, and has been validated against estimates and sampling errors produced by FIA 'EVALIDator'. Current development is focused on the implementation of spatially-enabled model-assisted and model-based estimators to improve population, change, and ratio estimates.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: dplyr (>= 1.0.0), dtplyr (>= 1.0.0), tidyr (>= 1.0.0),
        stringr, sf, parallel, methods, data.table, tidyselect (>=
        1.0.0), rlang, ggplot2
Suggests: knitr, rmarkdown, gganimate, R2jags, coda, testthat
RoxygenNote: 7.1.2
URL: https://github.com/doserjef/rFIA,
        https://www.doserlab.com/files/rFIA
BugReports: https://github.com/doserjef/rFIA/issues
NeedsCompilation: no
Packaged: 2026-04-30 19:50:21 UTC; jeff
Repository: CRAN
Date/Publication: 2026-04-30 20:40:02 UTC
Built: R 4.6.0; ; 2026-05-28 03:43:42 UTC; windows
