Method for converting openaq_locations_list to data frame.

Usage

# S3 method for class 'openaq_locations_list'
as.data.frame(x, row.names = NULL, optional = FALSE, ...)

x: A list of locations as returned from list_locations.
row.names: NULL or a character vector giving the row names for the data frame. Missing values are not allowed.
optional: logical. If TRUE, setting row names and converting column names (to syntactic names: see make.names) is optional. Note that all of R's base package as.data.frame() methods use optional only for column names treatment, basically with the meaning of data.frame(*, check.names = !optional). See also the make.names argument of the matrix method.
...: additional arguments to be passed to or from methods.

A data frame class of the locations results, with the following columns:

id: Numeric. The locations identifier.
name: Character. The name of the location.
is_mobile: Logical. Indicates whether the location is stationary or mobile.
is_monitor: Logical. Indicates whether the location is considered a reference monitor.
timezone: Factor. The IANA timezone of the location (e.g. "America/New_York").
countries_id: Numeric. The countries identifier where the location is located.
country_name: Character. The name of the country where the location is located
country_iso: Factor. The ISO 3166-1 alpha-2 country code where the location is located
latitude: Numeric.The latitude, geographic Y, value for the measurement.
longitude: Numeric. The longitude, geographic X, value for the measurement.
datetime_first: POSIXct. The datetime of the first measurement of this location.
datetime_last: POSIXct. The datetime of the last measurement of this location.
owner_name: Factor. The name of the owner of the location.
providers_id: Numeric. The providers identifier for the location.
provider_name: Character. The name of the provider for the location.

The data frame also includes a meta attribute from the original openaq_locations_list.

if (FALSE) { # interactive()
loc <- list_locations(as_data_frame = FALSE)
as.data.frame(loc)
}