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🔥 Forest fire history analysis in R.
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README.md

burnr

Travis-CI Build Status Coverage Status

Basic tools to analyze forest fire history data (e.g. FHX) in R. This is designed for power users and projects with special needs.

A quick example

library(burnr)

data(lgr2)

plot(lgr2)

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
)

Cool, eh?

See help(plot_demograph) for more plot options. You can read and write your own FHX files with read_fhx() and write_fhx().

Installation

You can install a relatively stable version of this package from CRAN by opening an R session and running:

install.packages('burnr')

You can also install the development version of the package from Github. First, be sure you have the devtools package installed in R. Install burnr with:

devtools::install_github("ltrr-arizona-edu/burnr")

Support

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 have also an introduction. More information can be found on the project's wiki. Note, this is still under construction.

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.” Dendrochronologia 49 
(June): 9–15. https://doi.org/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.

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.

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