The objective of this article is to study the impact of weather on the damage caused by fire
incidents across the United States. The article uses two sets of big data—‐fire incidents data
from the National Fire Incident Reporting System (NFIRS) and weather data from the
National Oceanic and Atmospheric Administration (NOAA)—to obtain a single
comprehensive data set for prediction and analysis of fire risk. In the article, the loss is
referred to as “Total Percent Loss,” a metric that is calculated based on the content and …

This research studies two sets of big data, one from the National Fire Incident Reporting
System (NFIRS), and the other from the National Oceanic and Atmospheric Administration
(NOAA). The analytics were focused on the effect of weather plays on the damage done by
human-caused fires. In the literature, virtually all big data analysis and predictive analytics
were done on a single set of file, where the predictor also comes from the same set of data.
The key contribution and insight of this work are to use two sets of data to combine into one …