# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "rFIA" in publications use:'
type: software
license: GPL-3.0-only
title: 'rFIA: Estimation of Forest Variables using the FIA Database'
version: 1.1.1
identifiers:
- type: doi
  value: 10.32614/CRAN.package.rFIA
abstract: 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)
  <https://doi.org/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.
authors:
- family-names: Doser
  given-names: Jeffrey
  email: jwdoser@ncsu.edu
- family-names: Stanke
  given-names: Hunter
- family-names: Finley
  given-names: Andrew
preferred-citation:
  type: article
  title: 'rFIA: An R package for estimation of forest attributes with the US Forest
    Inventory and Analysis database'
  authors:
  - family-names: Stanke
    given-names: Hunter
  - family-names: Finley
    given-names: Andrew O
  - family-names: Weed
    given-names: Aaron S
  - family-names: Walters
    given-names: Brian F
  - family-names: Domke
    given-names: Grant M
  journal: Environmental Modelling & Software
  year: '2020'
  volume: '127'
  url: https://doi.org/10.1016/j.envsoft.2020.104664
  start: '104664'
repository: https://doserjef.r-universe.dev
repository-code: https://github.com/doserjef/rFIA
commit: 5584e0f42031c6039eeb3d520ba6fafa8db40c7f
url: https://www.doserlab.com/files/rFIA
contact:
- family-names: Doser
  given-names: Jeffrey
  email: jwdoser@ncsu.edu
references:
- type: manual
  title: 'rFIA: Estimation of Forest Variables using the FIA Database'
  authors:
  - family-names: Doser
    given-names: Jeffrey W
  - family-names: Stanke
    given-names: Hunter
  - family-names: Finley
    given-names: Andrew O
  year: '2025'
  notes: R package version 1.1.0
  url: https://CRAN.R-project.org/package=rFIA