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.
Package details |
|
---|---|
Author | Grayson White [aut] (ORCID: <https://orcid.org/0000-0003-4993-2792>), Hannah Frick [aut] (ORCID: <https://orcid.org/0000-0002-6049-5258>), Simon Couch [aut, cre] (ORCID: <https://orcid.org/0000-0001-5676-5107>), Posit Software, PBC [cph, fnd] (ROR: <https://ror.org/03wc8by49>) |
Maintainer | Simon Couch <simon.couch@posit.co> |
License | MIT + file LICENSE |
Version | 0.2.0 |
URL | https://github.com/simonpcouch/forested https://simonpcouch.github.io/forested/ |
Package repository | View on CRAN |
Installation |
Install the latest version of this package by entering the following in R:
|
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.