process_cities_file

Dataframe with study cities and their latitudes
and longitudes.The dataframe must have a column named <code>city</code> with a
unique identifier for each city in the study, as well as columns for
latitude and longitude. Other columns may be included in th

cities

A character vector of length two with the column names
in the <code>citycsv</code> dataframe for latitude (first vector element) and
longitude (second vector element)

lat_lon_colnames

This function takes the dataframe read in from the file specified with
<code>citycsv</code> in <code><a href="/link/gen_hw_set?package=futureheatwaves&version=1.0.0" rd-options="" data-mini-rdoc="futureheatwaves::gen_hw_set">gen_hw_set</a></code> and renames the columns for
latitude and longitude <code>lat</code> and <code>lon</code>, based on
the user's selections in <code>lat_lon_colnames</code> for
<code><a href="/link/gen_hw_set?package=futureheatwaves&version=1.0.0" rd-options="" data-mini-rdoc="futureheatwaves::gen_hw_set">gen_hw_set</a></code>. If there are extra columns besides those and the
<code>city</code> column, this function removes them.

Inputs a directory of climate projection files and, for each,
    identifies and characterizes heat waves for specified study locations. The
    definition used to identify heat waves can be customized. Heat wave
    characterizations include several metrics of heat wave length, intensity,
    and timing in the year. The heat waves that are identified can be
    explored using a function to apply user-created functions across all
    generated heat wave files.This work was supported in part by grants from
    the National Institute of Environmental Health Sciences (R00ES022631), the
    National Science Foundation (1331399), and the Colorado State University
    Vice President for Research.

process_cities_file: Process city file

Description

Usage

Arguments

Value