Camp_Fire {AirMonitor}

Camp Fire example dataset

Description

The Camp_Fire dataset provides a quickly loadable version of a mts_monitor object for practicing and code examples.

Usage

Camp_Fire

Format

A mts_monitor object with 360 rows and 134 columns of data.

Details

The 2018 Camp Fire was the deadliest and most destructive wildfire in California's history, and the most expensive natural disaster in the world in 2018 in terms of insured losses. The fire caused at least 85 civilian fatalities and injured 12 civilians and five firefighters. It covered an area of 153,336 acres and destroyed more than 18,000 structures, most with the first 4 hours. Smoke from the fire resulted in the worst air pollution ever for the San Francisco Bay Area and Sacramento Valley.

This dataset was was generated on 2022-10-12 by running:

library(AirMonitor)

Camp_Fire <-
  monitor_loadAnnual(2018) %>%
  monitor_filter(stateCode == 'CA') %>%
  monitor_filterDate(
    startdate = 20181108,
    enddate = 20181123,
    timezone = "America/Los_Angeles"
 ) %>%
 monitor_dropEmpty()

save(Camp_Fire, file = "data/Camp_Fire.rda")