The master dataframe takes each wildfire occurrence in California between 2011 through 2015, and joins the AQI and climate data for 30 days prior to the DISCOVERY_DATE (fire discovery date) and 30 days post CONT_DATE (fire contained date). The data is utilized by the Shiny app to create dashboards.
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A dataframe with 1105972 rows and 23 variables:
Name of the incident, from the fire report (primary) or ICS-209 report (secondary)
Date on which the fire was discovered or confirmed to exist
Date on which the fire was declared contained or otherwise controlled
Description of the (statistical) cause of the fire
Estimate of acres within the final perimeter of the fire
Code for fire size based on the number of acres within the final fire perimeter expenditures (A=greater than 0 but less than or equal to 0.25 acres, B=0.26-9.9 acres, C=10.0-99.9 acres, D=100-299 acres, E=300 to 999 acres, F=1000 to 4999 acres, and G=5000+ acres)
Latitude (NAD83) for point location of the fire (decimal degrees)
Longitude (NAD83) for point location of the fire (decimal degrees)
Two-letter alphabetic code for the state in which the fire burned
County name from the FIPS publication 6-4 for representation of counties
Five-digit code combining the state and county codes from the FIPS publication 6-4 for counties
Date on which the climate measures were recorded
precipitation, in mm
snowfall, in mm
snow depth, in mm
maximum temperature, in degrees Celsius
minumum temperature, in degrees Celsius
AQI level
Carbon monoxide, in Parts per million
Ozone, in Parts per million
Nitrogen dioxide (NO2), in Parts per billion
PM2.5, in Micrograms/cubic meter (LC)
PM10, in Micrograms/cubic meter (25 C)
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