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forested
View on CRAN: Click
here
Download and install forested package within the R console
Install from CRAN:
install.packages("forested")
Install from Github:
library("remotes")
install_github("cran/forested")
Install by package version:
library("remotes")
install_version("forested", "0.1.0")
Attach the package and use:
library("forested")
Maintained by
Simon Couch
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.forested . https://github.com/simonpcouch/forested/issues . https://github.com/simonpcouch/forested . https://simonpcouch.github.io/forested/ . forested results . forested.pdf . forested_0.1.0.tar.gz . forested_0.1.0.zip . forested_0.1.0.zip . forested_0.1.0.zip . forested_0.1.0.tgz . forested_0.1.0.tgz . forested_0.1.0.tgz . forested_0.1.0.tgz . forested_0.1.0.tgz . forested_0.1.0.tgz . https://CRAN.R-project.org/package=forested .
First Published: 2024-07-31
Latest Update: 2024-07-31
Description:
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.
How to cite:
Simon Couch (2024). forested: Forest Attributes in Washington State. R package version 0.1.0, https://cran.r-project.org/web/packages/forested. Accessed 29 Mar. 2025.
Previous versions and publish date:
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