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Tools to read, write, parse, and analyze forest fire history data (e.g. FHX). Described in Malevich et al. (2018) <doi:10.1016/j.dendro.2018.02.005>.
Version: | 0.6.1 |
Depends: | R (≥ 3.2) |
Imports: | forcats, ggplot2, MASS, plyr, reshape2, rlang, stats, stringr, tidyr |
Suggests: | testthat, knitr, rmarkdown |
Published: | 2022-03-01 |
DOI: | 10.32614/CRAN.package.burnr |
Author: | Steven Malevich [aut, cre], Christopher Guiterman [aut, ctb], Ellis Margolis [aut] |
Maintainer: | Steven Malevich <sbmalev at gmail.com> |
BugReports: | https://github.com/ltrr-arizona-edu/burnr/issues |
License: | GPL (≥ 3) |
URL: | https://github.com/ltrr-arizona-edu/burnr/ |
NeedsCompilation: | no |
Citation: | burnr citation info |
Materials: | README NEWS |
CRAN checks: | burnr results |
Reference manual: | burnr.pdf |
Vignettes: |
Add composites to facet plots Introduction to burnr |
Package source: | burnr_0.6.1.tar.gz |
Windows binaries: | r-devel: burnr_0.6.1.zip, r-release: burnr_0.6.1.zip, r-oldrel: burnr_0.6.1.zip |
macOS binaries: | r-release (arm64): burnr_0.6.1.tgz, r-oldrel (arm64): burnr_0.6.1.tgz, r-release (x86_64): burnr_0.6.1.tgz, r-oldrel (x86_64): burnr_0.6.1.tgz |
Old sources: | burnr archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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