Description Usage Arguments Value Note Examples
View source: R/prep_wildfire.R
Create US wildfires dataframe from the Kaggle US Wildfire SQLite db
1 2 3 4 5 6 7 8 | create_wildfire(
db_name,
state_abbrev = NULL,
cols = c("FIRE_NAME", "DISCOVERY_DATE", "CONT_DATE", "STAT_CAUSE_DESCR", "FIRE_SIZE",
"FIRE_SIZE_CLASS", "LATITUDE", "LONGITUDE", "STATE", "FIPS_CODE", "FIPS_NAME"),
year_min = 1992,
year_max = 2015
)
|
db_name |
File path of the SQLite wildfire database. |
state_abbrev |
Abbreviations of the states to retrieve the wildfire data for. |
cols |
Columns to select from the wildfire database. For more info: (https://www.kaggle.com/rtatman/188-million-us-wildfires) |
year_min |
earliest year to pull the air quality data for, starts January 1st. |
year_max |
latest year to pull the air quality data for, ends December 31st. |
A dataframe of wildfires that occurred in the United States.
The function relies on the SQLite db available on Kaggle: (https://www.kaggle.com/rtatman/188-million-us-wildfires)
Unfortunately, Kaggle API does not support R at this time. Download the '188-million-us-wildfires.zip' file,
and provide the path to the function as db_name, i.e. db_name = 'data-raw/FPA_FOD_20170508.sqlite'
1 2 3 4 5 6 7 8 9 10 | ## Not run:
fires <- create_wildfire(db_name = 'data-raw/FPA_FOD_20170508.sqlite',
state_abbrev = c('CA', 'NY'),
cols=c('FIRE_NAME', 'DISCOVERY_DATE', 'CONT_DATE',
'STAT_CAUSE_DESCR', 'FIRE_SIZE', 'FIRE_SIZE_CLASS',
'LATITUDE', 'LONGITUDE', 'STATE', 'FIPS_CODE', 'FIPS_NAME'),
year_min = 1992,
year_max = 2015)
## End(Not run)
|
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