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A small subset of plots throughout the U.S. are sampled and assessed "on-the-ground" as forested or non-forested by the U.S. Department of Agriculture, Forest Service, Forest Inventory and Analysis (FIA) Program, but the FIA also has access to remotely sensed data for all land in the country. The 'forested' package contains data frames intended for use in predictive modeling applications where the more easily-accessible remotely sensed data can be used to predict whether a plot is forested or non-forested. Currently, the package provides data for Washington and Georgia.
Version: | 0.2.0 |
Depends: | R (≥ 4.1) |
Suggests: | knitr |
Published: | 2025-08-19 |
DOI: | 10.32614/CRAN.package.forested |
Author: | Grayson White |
Maintainer: | Simon Couch <simon.couch at posit.co> |
BugReports: | https://github.com/simonpcouch/forested/issues |
License: | MIT + file LICENSE |
URL: | https://github.com/simonpcouch/forested, https://simonpcouch.github.io/forested/ |
NeedsCompilation: | no |
Materials: | README, NEWS |
CRAN checks: | forested results |
Reference manual: | forested.html , forested.pdf |
Package source: | forested_0.2.0.tar.gz |
Windows binaries: | r-devel: forested_0.2.0.zip, r-release: forested_0.2.0.zip, r-oldrel: forested_0.2.0.zip |
macOS binaries: | r-release (arm64): forested_0.2.0.tgz, r-oldrel (arm64): forested_0.2.0.tgz, r-release (x86_64): forested_0.2.0.tgz, r-oldrel (x86_64): forested_0.2.0.tgz |
Old sources: | forested archive |
Please use the canonical form https://CRAN.R-project.org/package=forested to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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