Package: rFIA
Type: Package
Title: Space-Time Estimation of Forest Variables using the FIA Database
Version: 0.2.1
Author: Hunter Stanke [aut, cre],
  Andrew Finley [aut]
Maintainer: Hunter Stanke <stankehu@msu.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 spatio-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 estimators to improve population, change, and ratio estimates.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.1.0)
Imports: dplyr, stringr, sp, sf, tidyr (>= 1.0.0), parallel, ggplot2,
        gganimate, methods, data.table, bit64, progress
Suggests: knitr, rmarkdown
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2020-04-03 18:39:14 UTC; hstan
Repository: CRAN
Date/Publication: 2020-04-03 19:20:02 UTC
Built: R 3.5.3; ; 2020-04-22 08:23:09 UTC; windows
