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Welcome to postbp

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A Python Library

PostBP is an open-source Python package designed for post-processing the raw outputs of fire growth models — the ignition locations and perimeters of individual fires simulated over multiple stochastic iterations — into a matrix of fire spread likelihoods between all pairs of forest patches in a landscape.

Features

PostBP offers three post-processing options for analyzing FGM outputs. - Option 1 (“Direct overlay analysis”) generates maps of mean burn and ignition likelihoods for a user-defined set of forest landscape patches. - Option 2 (“Directional fire spread analysis”) uses the ignition locations and final perimeters of individual fires to generate vectors of spread likelihoods between all pairs of forest patches in a landscape, along with a map of source-sink ratios and a fire spread rose diagram. - Option 3 (“Daily directional fire spread analysis”) is similar to option 2 but generates fire spread likelihoods and summary outputs from sequences of daily fire perimeters instead of the final fire perimeters utilized in option 2.