A curated list of open technology projects to sustain a stable climate, energy supply, biodiversity and natural resources.

forestdata

An R package designed to provide users with easy access to various forestry and land use datasets.
https://github.com/cidree/forestdata

Category: Biosphere
Sub Category: Forest Observation and Management

Last synced: about 11 hours ago
JSON representation

Repository metadata

README.Rmd

          ---
output: github_document
---



```{r, include = FALSE}
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-",
  out.width = "100%"
)
```

# forestdata forestdata website


[![CRAN status](https://www.r-pkg.org/badges/version/forestdata)](https://CRAN.R-project.org/package=forestdata)
[![Lifecycle: experimental](https://img.shields.io/badge/lifecycle-experimental-orange.svg)](https://lifecycle.r-lib.org/articles/stages.html#experimental)
[![Codecov test coverage](https://codecov.io/gh/Cidree/forestdata/graph/badge.svg)](https://app.codecov.io/gh/Cidree/forestdata)
[![License: GPL v3](https://img.shields.io/badge/License-GPLv3-blue.svg)](https://www.gnu.org/licenses/gpl-3.0)
[![Project Status: Active – The project has reached a stable, usable state and is being actively developed.](https://www.repostatus.org/badges/latest/active.svg)](https://www.repostatus.org/#active)


`forestdata` is an R package for downloading forestry and land use data. This package aims to provide users with easy access to various datasets related to forestry and land use.

## Installation

You can install the latest version in CRAN using:

```r
pak::pak("forestdata")
```

Or you can install the development version using:

``` r
pak::pak("Cidree/forestdata")
```

## Functions

In the following table, you can find a summary of the available
functions, a short description, and the object type of the output.

::: {align="center"}
Image not found
:::

## Note

Please read the function documentation carefully. Some datasets may
require proper citation when used.



        

Owner metadata


GitHub Events

Total
Last Year

Committers metadata

Last synced: 7 days ago

Total Commits: 132
Total Committers: 1
Avg Commits per committer: 132.0
Development Distribution Score (DDS): 0.0

Commits in past year: 113
Committers in past year: 1
Avg Commits per committer in past year: 113.0
Development Distribution Score (DDS) in past year: 0.0

Name Email Commits
Cidree a****e@g****m 132

Committer domains:


Issue and Pull Request metadata

Last synced: 1 day ago

Total issues: 11
Total pull requests: 0
Average time to close issues: 6 days
Average time to close pull requests: N/A
Total issue authors: 3
Total pull request authors: 0
Average comments per issue: 0.55
Average comments per pull request: 0
Merged pull request: 0
Bot issues: 0
Bot pull requests: 0

Past year issues: 11
Past year pull requests: 0
Past year average time to close issues: 6 days
Past year average time to close pull requests: N/A
Past year issue authors: 3
Past year pull request authors: 0
Past year average comments per issue: 0.55
Past year average comments per pull request: 0
Past year merged pull request: 0
Past year bot issues: 0
Past year bot pull requests: 0

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/cidree/forestdata

Top Issue Authors

  • Cidree (8)
  • Wycology (2)
  • i-c-grant (1)

Top Pull Request Authors


Top Issue Labels

  • enhancement (5)
  • bug (4)
  • question (1)
  • documentation (1)

Top Pull Request Labels


Package metadata

cran.r-project.org: forestdata

Download Forestry Data

  • Homepage: https://cidree.github.io/forestdata/
  • Documentation: http://cran.r-project.org/web/packages/forestdata/forestdata.pdf
  • Licenses: GPL (≥ 3)
  • Latest release: 0.3.0 (published 25 days ago)
  • Last Synced: 2025-04-26T13:00:58.424Z (1 day ago)
  • Versions: 4
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 270 Last month
  • Rankings:
    • Dependent packages count: 27.873%
    • Dependent repos count: 34.363%
    • Average: 41.295%
    • Downloads: 61.65%
  • Maintainers (1)

Dependencies

DESCRIPTION cran

Score: 8.374707543119483