Science Score: 33.0%
This score indicates how likely this project is to be science-related based on various indicators:
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â—‹CITATION.cff file
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â—‹codemeta.json file
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â—‹.zenodo.json file
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✓DOI references
Found 6 DOI reference(s) in README -
✓Academic publication links
Links to: sciencedirect.com, zenodo.org -
✓Committers with academic emails
1 of 2 committers (50.0%) from academic institutions -
â—‹Institutional organization owner
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â—‹JOSS paper metadata
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â—‹Scientific vocabulary similarity
Low similarity (20.3%) to scientific vocabulary
Keywords
citation
cran
dendrochronology
ecology
forestfire
plot
r
scientific
statistics
Last synced: 6 months ago
·
JSON representation
Repository
🔥 Forest fire history analysis in R.
Basic Info
- Host: GitHub
- Owner: ltrr-arizona-edu
- Language: R
- Default Branch: master
- Homepage: https://ltrr-arizona-edu.github.io/burnr/
- Size: 7.13 MB
Statistics
- Stars: 15
- Watchers: 8
- Forks: 10
- Open Issues: 17
- Releases: 0
Topics
citation
cran
dendrochronology
ecology
forestfire
plot
r
scientific
statistics
Created over 13 years ago
· Last pushed almost 4 years ago
Metadata Files
Readme
README.Rmd
---
output: github_document
---
```{r, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "man/figures/README-",
out.width = "100%"
)
```
# burnr
[](https://cran.r-project.org/package=burnr)
[](https://coveralls.io/github/ltrr-arizona-edu/burnr?branch=master)
[](https://github.com/ltrr-arizona-edu/burnr/actions)
[](https://cran.r-project.org/package=burnr)
[](https://doi.org/10.5281/zenodo.594459)
Basic tools to analyze forest fire history data (e.g. FHX) in R. This is designed for power users and projects with special needs.
## Installation
You can install the released version of burnr from [CRAN](https://CRAN.R-project.org) with:
``` r
install.packages("burnr")
```
And the development version from [GitHub](https://github.com/) with:
``` r
# install.packages("devtools")
devtools::install_github("ltrr-arizona-edu/burnr")
```
## Example
This is a basic example which shows you how to solve a common problem:
```{r example}
library(burnr)
# This gives you a basic plot. There are more advanced options. For example, we can color our plot by sample species.
data(lgr2_meta)
plot(lgr2,
color_group = lgr2_meta$SpeciesID,
color_id = lgr2_meta$TreeID,
plot_legend = TRUE
)
```
## Support
Documentation is included in the code. If you're new to `burnr`, our [2018 paper in Dendrochronologia](https://doi.org/10.1016/j.dendro.2018.02.005) is a nice survey of the package with many examples. We also have instructional vignettes on the project website, . And you can work through examples, with included data, in an R project hosted by @chguiterman on GitHub: . We're working to enhance our instruction and add to these demos on the burnr website, so please send us requests for new tips and tricks, or create your own and share with us!
## Citation
Please cite the original `burnr` paper if you use it in your research:
> Malevich, Steven B., Christopher H. Guiterman, and Ellis Q. Margolis (2018) [Burnr: Fire History Analysis and Graphics in R](https://www.sciencedirect.com/science/article/abs/pii/S1125786517301418?via%3Dihub). _Dendrochronologia_ 49: 9–15. DOI: 10.1016/j.dendro.2018.02.005.
Citations help us to identify user needs and justify additional time developing and maintaining `burnr`.
## Development
Please file bugs in the [bug tracker](https://github.com/ltrr-arizona-edu/burnr/issues).
Want to contribute? Great! We're following [Hadley's packaging workflow](https://r-pkgs.org/) and [style guide](https://style.tidyverse.org/). Fork away.
If you're not a developer, don't worry! We also welcome help with documentation and tutorials.
Owner
- Name: Laboratory of Tree-Ring Research
- Login: ltrr-arizona-edu
- Kind: organization
- Location: The University of Arizona, Tucson AZ 85721, USA
- Website: http://ltrr.arizona.edu/
- Repositories: 26
- Profile: https://github.com/ltrr-arizona-edu
GitHub Events
Total
- Issue comment event: 1
- Pull request event: 1
- Fork event: 1
Last Year
- Issue comment event: 1
- Pull request event: 1
- Fork event: 1
Committers
Last synced: 7 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Brewster Malevich | s****v@g****m | 352 |
| Chris Guiterman | c****n@e****u | 89 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 159
- Total pull requests: 46
- Average time to close issues: 9 months
- Average time to close pull requests: 3 days
- Total issue authors: 2
- Total pull request authors: 2
- Average comments per issue: 1.05
- Average comments per pull request: 1.98
- Merged pull requests: 43
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- brews (136)
- chguiterman (22)
Pull Request Authors
- chguiterman (25)
- brews (22)
Top Labels
Issue Labels
enhancement (82)
bug (65)
help wanted (9)
invalid (8)
good first issue (6)
documentation (3)
duplicate (2)
Pull Request Labels
bug (28)
enhancement (22)
documentation (1)
Packages
- Total packages: 1
-
Total downloads:
- cran 279 last-month
- Total dependent packages: 0
- Total dependent repositories: 1
- Total versions: 12
- Total maintainers: 1
cran.r-project.org: burnr
Forest Fire History Analysis
- Homepage: https://github.com/ltrr-arizona-edu/burnr/
- Documentation: http://cran.r-project.org/web/packages/burnr/burnr.pdf
- License: GPL (≥ 3)
-
Latest release: 0.6.1
published almost 4 years ago
Rankings
Forks count: 8.0%
Stargazers count: 14.7%
Average: 19.8%
Dependent repos count: 24.3%
Downloads: 24.4%
Dependent packages count: 27.9%
Maintainers (1)
Last synced:
6 months ago
Dependencies
DESCRIPTION
cran
- R >= 3.2 depends
- MASS * imports
- forcats * imports
- ggplot2 * imports
- glue * imports
- plyr * imports
- reshape2 * imports
- rlang * imports
- stats * imports
- stringr * imports
- tidyr * imports
- knitr * suggests
- rmarkdown * suggests
- testthat * suggests