Package to easily connect to the OpenWeather API. The package automatically encodes OpenWeather API requests to be read in R in Json format or directly transformed into a Tibble.
You can download the package using the following command:
devtools::install_github("Jorge-hercas/OweatherR")
OpenWeather is a weather information system that allows you to obtain data through its API. To use the library you must register on their page (https://openweathermap.org) and activate an API key. Once registered, you can make queries with this library, for example:
library(OweatherR)
weather_actual_req(lat = 19, lon = -19, api_key = "YOUR API KEY", tibble_format = TRUE)
The result will be:
# A tibble: 1 x 27
coord.lon coord.lat weather.id weather.main weather.description weather.icon base main.temp
<int> <int> <int> <chr> <chr> <chr> <chr> <dbl>
1 -19 19 800 Clear clear sky 01d stations 293.
# … with 19 more variables: main.feels_like <dbl>, main.temp_min <dbl>, main.temp_max <dbl>,
# main.pressure <int>, main.humidity <int>, main.sea_level <int>, main.grnd_level <int>,
# visibility <int>, wind.speed <dbl>, wind.deg <int>, wind.gust <dbl>, all <int>, dt <int>,
# sys.sunrise <int>, sys.sunset <int>, timezone <int>, id <int>, name <chr>, cod <int>
Or you can make a query for historical data, for example:
weather_historic_req(lat = 19, lon = -19, api_key = "YOUR API KEY", date = "2022-01-01", tibble_format = TRUE)
Using the equivalent function weather_state_historic() you can get the data from the country name or state name (just for USA).
You can also get forecasts, massive historical data and air pollution.
The package includes a data frame with all the available cities, with their respective latitude and longitude, but you can also use the function get_coordinates() to get this info, for example:
get_coordinates("Mexico", "CDMX", api_key = "YOUR API KEY")
An you get the following result:
# A tibble: 1 x 4
country state lat lon
<chr> <chr> <dbl> <dbl>
1 MX Mexico City 19.4 -99.1