Package: fireexposuR 1.2.0

Air Forbes

fireexposuR: Compute and Visualize Wildfire Exposure

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.

Authors:Air Forbes [aut, cre], Jennifer Beverly [ths]

fireexposuR_1.2.0.tar.gz
fireexposuR_1.2.0.zip(r-4.7)fireexposuR_1.2.0.zip(r-4.6)fireexposuR_1.2.0.zip(r-4.5)
fireexposuR_1.2.0.tgz(r-4.6-any)fireexposuR_1.2.0.tgz(r-4.5-any)
fireexposuR_1.2.0.tar.gz(r-4.7-any)fireexposuR_1.2.0.tar.gz(r-4.6-any)
fireexposuR_1.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
fireexposuR/json (API)

# Install 'fireexposuR' in R:
install.packages('fireexposuR', repos = c('https://ropensci.r-universe.dev', 'https://cloud.r-project.org'))

Reviews:rOpenSci Software Review #659

Bug tracker:https://github.com/ropensci/fireexposur/issues

Pkgdown/docs site:https://docs.ropensci.org

On CRAN:

Conda:

6.72 score 13 stars 17 scripts 284 downloads 18 exports 117 dependencies

Last updated from:70bd025589 (on main). Checks:10 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK310
pkgdown docsOK263
source / vignettesOK282
linux-release-x86_64OK274
macos-release-arm64OK214
macos-oldrel-arm64OK212
windows-develOK161
windows-releaseOK161
windows-oldrelOK151
wasm-releaseOK217

Exports:%>%fire_expfire_exp_adjustfire_exp_dirfire_exp_dir_mapfire_exp_dir_multifire_exp_dir_multi_plotfire_exp_dir_plotfire_exp_extractfire_exp_extract_mapfire_exp_extract_summaryfire_exp_extract_visfire_exp_mapfire_exp_map_classfire_exp_map_contfire_exp_summaryfire_exp_validatefire_exp_validate_plot

Dependencies:abindbase64encbslibcachemclassclassIntclicolorspacecols4allcommonmarkcpp11crayoncrosstalkcurldata.tableDBIdigestdplyre1071evaluatefarverfastmapfontawesomefsgenericsgeojsonsfgeometriesgeosphereggplot2ggspatialgluegtablehighrhmshtmltoolshtmlwidgetshttpuvisobandjpegjquerylibjsonifyjsonliteKernSmoothknitrlabelinglaterlatticelazyevalleafemleafglleaflegendleafletleaflet.providersleafsynclifecycleloggerlwgeommagrittrmaptilesMASSmemoisemimeMultiscaleDTMotelpillarpkgconfigpngprettyunitsprogresspromisesproxypurrrR6rapidjsonrrappdirsrasterRColorBrewerRcppRcppArmadillorglrlangrmarkdownrosms2S7sassscalesservrsfsfheadersshinysourcetoolsspspacesXYZstarsstringdiststringistringrterratibbletidyrtidyselecttidyterratinytextmaptmaptoolsunitsutf8vctrsviridisLitewithrwkxfunXMLxtableyamlyyjsonr

Preparing input data
Determine required input datasets | Raster Data | Determine minimum data requirements | Transmission Distance | Area | Additional considerations | Temporal resolution | land cover classifiers | Example land-cover datasets | North America | Canada | Global | Reclassifying to Hazardous fuel layer | Structures/Values Datasets | Alberta | USA | References
Rendered fromprep-input-data.Rmdusingknitr::rmarkdown

Last update: 2025-10-18
Started: 2025-01-30

fireexposuR
Spatial data in R | 1. Determine scale | Landscape | Local | Understanding transmission distances | Long-range embers | Short-range embers and radiant heat | 2. Determine scope | Example: Compute exposure | Example workflow | Example: Assess directional exposure | Example: Conduct an exposure assessment for a local area | Advanced Example: Validate the exposure metric in a study area | 3. Determine required data | References
Rendered fromfireexposuR.Rmdusingknitr::rmarkdown

Last update: 2025-09-29
Started: 2025-01-30

Prometheus users
Why this occurs | Confirm issue | Fix for only the current R session | Fix for all future R sessions
Rendered fromprometheus.Rmdusingknitr::rmarkdown

Last update: 2025-09-19
Started: 2025-01-30

resources
Resources | Further reading and resources
Rendered fromresources.Rmdusingknitr::rmarkdown

Last update: 2025-09-19
Started: 2025-01-31