forested: Forest Attributes in Washington State

A small subset of plots in Washington State 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 state. The 'forested' package contains a data frame by the same name 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.

Version:	0.1.0
Depends:	R (≥ 2.10)
Suggests:	knitr
Published:	2024-07-31
DOI:	10.32614/CRAN.package.forested
Author:	Grayson White [aut], Hannah Frick [aut], Simon Couch [aut, cre], Posit Software, PBC [cph, fnd]
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

Documentation:

Reference manual:

forested.html , forested.pdf

Downloads:

Package source:	forested_0.1.0.tar.gz
Windows binaries:	r-devel: forested_0.1.0.zip, r-release: forested_0.1.0.zip, r-oldrel: forested_0.1.0.zip
macOS binaries:	r-release (arm64): forested_0.1.0.tgz, r-oldrel (arm64): forested_0.1.0.tgz, r-release (x86_64): forested_0.1.0.tgz, r-oldrel (x86_64): forested_0.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=forested to link to this page.