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fireexposuRAn R package for computing and visualizing wildfire exposure
by Air Forbes |
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Who is it for?
fireexposuR is for anyone interested in conducting wildfire exposure at landscape and community scales, as well as directional vulnerability assessments. It is targeted for use by researchers, government agencies, forest industry, consultants, communities, and interested individuals. What if you don't have a background in wildland fuels, spatial data, or R? Not a problem, even novice R users can conduct their own wildfire exposure assessments by referencing the supporting documentation along with many free online R tutorials. What does it do?
fireexposuR automates the assessment process, making it easier for you to carry out the step-by-step methods documented in several scientific papers (see links above). With fireexposuR, you can also generate plots, maps, or tables for export as image or .csv files. And it's all customizable to suit unique local conditions and needs. |
Landscape scale exposure shows variation in potential fire transmission across broad areas
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Community scale exposure shows variation in potential fire transmission to the built environment
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Is there training and support?
Yes, we've trained over 70 enthusiastic fireexposuR users in recent months. A workshop was held in Fredericton, New Brunswick at the Wildland Fire Canada 2024 conference and an introductory course (EXP100, description below) was delivered in February 2025 at the University of Alberta. More advanced training is in development (EXP200, EXP300). Check back here for new and upcoming training events. |
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EXP100 Wildfire Exposure and Directional Vulnerability Assessments: Methods and Applications.
This full day course introduces foundational wildfire exposure and directional vulnerability assessment concepts. The course blends classroom style learning with hands-on guided exercises in R/RStudio with provided example data. This course covers assessments of landscape scale wildfire exposure, community scale wildfire exposure, and directional vulnerability. Participants also learn how to interpret and visualize results in R, and export results for further analysis in other software. |
Directional vulnerability graphs connect landscape and local scales, highlighting viable fire pathways
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