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\begin{document}

\title{Physical, Social, and Biological Attributes for Improved Understanding
and Prediction of Wildfires: FPA FOD-Attributes Dataset}



\author[1,2]{Yavar Pourmohamad}%
\author[3]{John T Abatzoglou}%
\author[4]{Erin J Belval}%
\author[5]{Erica Fleishman}%
\author[4]{Karen Short}%
\author[4]{Matthew C Reeves}%
\author[6]{Nicholas Nauslar}%
\author[7]{Philip E Higuera}%
\author[2]{Eric Henderson}%
\author[2]{Sawyer Ball}%
\author[8]{Amir Aghakouchak}%
\author[4]{Jeffrey P Prestemon}%
\author[4]{Julia Olszewski}%
\author[1,6]{Mojtaba Sadegh}%
\affil[1]{Department of Civil Engineering, Boise State University}%
\affil[2]{Department of Computer Science, Boise State University}%
\affil[3]{Management of Complex Systems Department, University of California}%
\affil[4]{Affiliation not available}%
\affil[5]{College of Earth, Ocean, and Atmospheric Sciences, Oregon State University}%
\affil[6]{Bureau of Land Management}%
\affil[7]{Department of Ecosystem and Conservation Sciences, University of Montana}%
\affil[8]{Department of Civil and Environmental Engineering, 11 United Nations University Institute for Water, Environment and Health, University of California}%


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  \date{May 30, 2024}


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\begin{abstract}
Wildfires are increasingly impacting social and environmental systems in
the United States. The ability to mitigate the adverse effects of
wildfires increases with understanding of the social, physical, and
biological conditions that co-occurred with or caused the wildfire
ignitions and contributed to the wildfire impacts. To this end, we
developed the FPA FOD-Attributes dataset, which augments the sixth
version of the Fire Program Analysis-Fire Occurrence Database (FPA FOD
v6) with nearly 270 attributes that coincide with the date and location
of each wildfire ignition in the United States. FPA FOD v6 contains
information on location, jurisdiction, discovery time, cause, and final
size of \textgreater{}2.3 million wildfires from 1992-2020 in the United
States. For each wildfire, we added physical (e.g., weather, climate,
topography, infrastructure), biological (e.g., land cover, normalized
difference vegetation index), social (e.g., population density, social
vulnerability index), and administrative (e.g., national and regional
preparedness level, jurisdiction) attributes. This publicly available
dataset can be used to answer numerous questions about the covariates
associated with human- and lightning-caused wildfires. Furthermore, the
FPA FOD-Attributes dataset can support descriptive, diagnostic,
predictive, and prescriptive wildfire analytics, including development
of machine learning models.%
\end{abstract}%



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