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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 |
Please use the canonical form https://CRAN.R-project.org/package=burnr to link to this page.
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.