meteo_process_geographic_data: Calculate the distances between a location and all available...

In rnoaa: 'NOAA' Weather Data from R

Calculate the distances between a location and all available stations

Description

This function takes a single location and a dataset of available weather stations and calculates the distance between the location and each of the stations, using the great circle method. A new column is added to the dataset of available weather stations giving the distance between each station and the input location. The station dataset is then sorted from closest to furthest distance to the location and returned as the function output.

Usage

meteo_process_geographic_data(station_data, lat, long, units = "deg")

Arguments

station_data	The output of ghcnd_stations(), which is a current list of weather stations available through NOAA for the GHCND dataset. The format of this is a dataframe with one row per weather station. Latitude and longitude for the station locations should be in columns with the names "latitude" and "longitude", consistent with the output from ghcnd_stations(). To save time, run the ghcnd_stations call and save the output to an object, rather than rerunning the default every time (see the examples in meteo_nearby_stations()).
lat	Latitude of the location. Southern latitudes should be given as negative values.
long	Longitude of the location. Western longitudes should be given as negative values.
units	Units of the latitude and longitude values. Possible values are: deg: Degrees (default); rad: Radians.

Value

The station_data dataframe that is input, but with a distance column added that gives the distance to the location (in kilometers), and re-ordered by distance between each station and the location (closest weather stations first).

Author(s)

Alex Simmons [e-mail], Brooke Anderson [e-mail]

Examples

## Not run: 
station_data <- ghcnd_stations()
meteo_process_geographic_data(station_data, lat=-33, long=151)

## End(Not run)

rnoaa documentation built on April 27, 2023, 9:08 a.m.