Basic tools to analyze forest fire history data (e.g. FHX) in R. This is designed for power users and projects with special needs.
You can install the released version of burnr from CRAN with:
install.packages("burnr")And the development version from GitHub with:
# install.packages("devtools")
devtools::install_github("ltrr-arizona-edu/burnr")This is a basic example which shows you how to solve a common problem:
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
)
Documentation is included in the code. If you’re new to burnr, our
2018 paper in
Dendrochronologia is a
nice survey of the package with many examples. We also have
instructional vignettes on the project website,
https://ltrr-arizona-edu.github.io/burnr/. And you can work through
examples, with included data, in an R project hosted by @chguiterman on
GitHub: https://github.com/chguiterman/burnr_demo. 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!
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. 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.
Please file bugs in the bug tracker.
Want to contribute? Great! We’re following Hadley’s packaging workflow and style guide. Fork away.
If you’re not a developer, don’t worry! We also welcome help with documentation and tutorials.