The wildfire exposure assessment method is promoted nationally by FireSmart Canada. Community scale and landscape scale exposure assessments provide a numeric rating of the potential for fire transmission to a location given surrounding fuel composition and configuration. Directional vulnerability assessments identify potential fire pathways into a valued location based on exposure ratings.
Learn all about it at the upcoming :
Interested? We are waiving registration fees for this inaugural offering! Space is limited, apply here January 2nd to 16th, 2025. Selected applicants will be notified January 20th. |
Course Description
This full day course introduces foundational wildfire exposure and directional vulnerability assessment concepts. The course will blend classroom style learning with hands-on guided exercises in R/RStudio with provided example data. This course will cover assessments of landscape scale wildfire exposure, community scale wildfire exposure, and directional vulnerability. Participants will also learn how to interpret and visualize results in R, and export results for further analysis in other software.
Target Audience
This course is designed for people who are new to and/or interested in increasing their knowledge of methods in wildfire exposure. Familiarity with the R programming language and spatial data structures is recommended to get the most out of this course, but it is not required.
Course Objectives
In this course, you will learn about:
Course Outcomes
After completing this course, you will be able to:
This full day course introduces foundational wildfire exposure and directional vulnerability assessment concepts. The course will blend classroom style learning with hands-on guided exercises in R/RStudio with provided example data. This course will cover assessments of landscape scale wildfire exposure, community scale wildfire exposure, and directional vulnerability. Participants will also learn how to interpret and visualize results in R, and export results for further analysis in other software.
Target Audience
This course is designed for people who are new to and/or interested in increasing their knowledge of methods in wildfire exposure. Familiarity with the R programming language and spatial data structures is recommended to get the most out of this course, but it is not required.
Course Objectives
In this course, you will learn about:
- Background and evolution of exposure assessments
- Core concepts and strengths/limitations of the approach
- Recent case example applications and shared lessons learned
- How to use the R package fireexposuR to run basic assessments with example data
- How to use the R package fireexposuR to generate fast, standardized maps of results
- Considerations for sourcing appropriate data for conducting assessments
Course Outcomes
After completing this course, you will be able to:
- Explain exposure assessment concepts
- Apply exposure assessment concepts using R package fireexposuR
- Implement newly gained exposure assessment skills in practical contexts, possible examples include:
- communicate the nature of wildfire risks to potentially affected parties
- motivate proactive wildfire risk reduction
- identify priority areas for site assessments
- inform strategic planning exercises and set priorities for mitigation activities
- plan evacuations
- evaluate fuel management alternatives
- monitor conditions over time
- A laptop with R and RStudio installed
- Completion of pre-course assignments and readings