doi:10.1071/WF09071>, Beverly et al. (2021) <doi:10.1007/s10980-020-01173-8>, and Beverly and Forbes (2023) <doi:10.1007/s11069-023-05885-3> for background and methodology.">

fireexposuR: Compute and Visualize Wildfire Exposure (original) (raw)

Methods for computing and visualizing wildfire ignition exposure and directional vulnerability that are published in a series of scientific publications are automated by the functions in this package. See Beverly et al. (2010) <doi:10.1071/WF09071>, Beverly et al. (2021) <doi:10.1007/s10980-020-01173-8>, and Beverly and Forbes (2023) <doi:10.1007/s11069-023-05885-3> for background and methodology.

Version: 1.2.0
Depends: R (≥ 2.10)
Imports: dplyr, geosphere, ggplot2, ggspatial, magrittr, maptiles, MultiscaleDTM, rlang, sf, terra, tidyr, tidyselect, tidyterra, tmap
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2025-10-01
DOI: 10.32614/CRAN.package.fireexposuR
Author: Air Forbes ORCID iD [aut, cre], Jennifer Beverly [ths]
Maintainer: Air Forbes
BugReports: https://github.com/ropensci/fireexposuR/issues
License: GPL (≥ 3)
URL: https://github.com/ropensci/fireexposuR,https://docs.ropensci.org/fireexposuR/
NeedsCompilation: no
Citation: fireexposuR citation info
Materials: README, NEWS
CRAN checks: fireexposuR results

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