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Spatial Informatics Group, LLC

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🔥 New Paper Alert! SIG team members co-authored "Quantifying the sampling error on burn counts in Monte-Carlo wildfire simulations using Poisson and Gamma distributions." This paper provides improved guidelines for finding the number of fires that we need to simulate in order to produce maps of fire risk. This replaces vague rules of thumb and time-consuming trial and error with simple mathematical formulas, making life easier for fire modelers. These findings promise to streamline simulation sizing and convergence assessment, saving time and resources. This work is leveraged in v3 of First Street’s #FireFactor which is anticipated to be released in June https://lnkd.in/gpNjtMmc 🌲📊 #WildfireResearch #Innovation

Quantifying the sampling error on burn counts in Monte-Carlo wildfire simulations using Poisson and Gamma distributions - Stochastic Environmental Research and Risk Assessment

Quantifying the sampling error on burn counts in Monte-Carlo wildfire simulations using Poisson and Gamma distributions - Stochastic Environmental Research and Risk Assessment

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