Description Usage Arguments Value Note Examples
View source: R/wind_exposure.R
This function takes an input of locations (either a vector of county FIPS or a dataframe of multi-county FIPS, with all FIPS listed for each county) and creates time series dataframes that can be merged with health time series, giving the dates and exposures for all storms meeting the given storm wind criteria.
1 2 3 4 5 6 7 8 9 | wind_exposure(
locations,
start_year,
end_year,
wind_limit,
wind_var,
out_dir,
out_type = "csv"
)
|
locations |
Either a vector of FIPS county codes, for county-level
output, or a dataframe with columns for community identifier ( |
start_year |
Four-digit integer with first year to consider. |
end_year |
Four-digit integer with last year to consider. |
wind_limit |
Vector giving the wind speed (in m / s) to use as a threshold for classifying a county as "exposed" to a specific storm. |
wind_var |
A character string giving the wind variable to use. Choices
are |
out_dir |
Character string giving the pathname of the directory in which to write output. This directory should already exist on your computer. |
out_type |
Character string giving the type of output files you'd like.
Options are |
Writes out a directory with rain exposure files for each county or
community indicated. For more on the columns in this output, see the
documentation for county_wind
and
multi_county_wind
.
This function allows you to use different wind variables (sustained winds, which is the default; gust winds; duration of sustained winds; duration of gust winds) when pulling exposures by county. However, if pulling multi-county communities, currently only the sustained winds metric can be used with this function.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 | ## Not run:
# Ensure that data package is available before running the example.
# If it is not, see the `hurricaneexposure` package vignette for details
# on installing the required data package.
if (requireNamespace("hurricaneexposuredata", quietly = TRUE)) {
# You will need a directory named "tmp" in your home directory to
# run these examples.
# By county
wind_exposure(locations = c("22071", "51700"),
start_year = 1988, end_year = 2005,
wind_limit = 10,
out_dir = "~/tmp/storms")
# For multi-county communities
communities <- data.frame(community_name = c(rep("ny", 6), "no", "new"),
fips = c("36005", "36047", "36061",
"36085", "36081", "36119",
"22071", "51700"))
wind_exposure(locations = communities,
start_year = 1988, end_year = 2005,
wind_limit = 10,
out_dir = "~/tmp/storms")
}
## End(Not run)
|
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