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 |
Reference manual: | forested.pdf |
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 |
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