weatherForecast: Access to Weather Forecasts with the Use of Dark Sky API.

In SmarterPoland: Tools for Accessing Various Datasets Developed by the Foundation SmarterPoland.pl

Access to Weather Forecasts with the Use of Dark Sky API.

Description

Access to hourly and daily weather forecasts with the use of Dark Sky API.

Usage

getWeatherForecast(apiKey, lat = NA, lon = NA, city = NA, raw=FALSE)

Arguments

apiKey	You need to have Dark Sky apiKey in order to access weather forecasts. See here: https://developer.forecast.io/ hor more details.
lat	The latitude coordinate for which prediction has to be made.
lon	The longitude coordinate for which prediction has to be made.
city	Instead of lat and lon you may specify name of the city for which prediction has to be made.
raw	If TRUE then no parsing is done. The function getWeatherForecast() just download an forecast and returns it as a list.

Value

The function getWeatherForecast() returns list of three datasets. now and by.hour datasets contains predictions. For each timepoint following information are collected:

time, summary, icon, precipIntensity, precipProbability, temperature, apparentTemperature, dewPoint, humidity, windSpeed, windBearing, visibility, cloudCover, pressure, ozone, temperatureCelsius, apparentTemperatureCelsius

Daily predictions (by.day component) contain following information:

time, summary, icon, sunriseTime, sunsetTime, moonPhase, precipIntensity, precipIntensityMax, precipProbability, temperatureMin, temperatureMinTime, temperatureMax, temperatureMaxTime, apparentTemperatureMin, apparentTemperatureMinTime, apparentTemperatureMax, apparentTemperatureMaxTime, dewPoint, humidity, windSpeed, windBearing, visibility, cloudCover, pressure, ozone, precipIntensityMaxTime, precipType, temperatureMaxCelsius, temperatureMinCelsius, apparentTemperatureMaxCelsius, apparentTemperatureMinCelsius

Author(s)

Przemyslaw Biecek

References

The Dark Sky API for weather forecasts is described as https://developer.forecast.io/

Examples

## Not run: 
 # you have to have apiKey to execute these examples
library(scales)
library(ggplot2)

prognoza <- getWeatherForecast(apiKey, city='Warsaw')

ggplot(prognoza$by.hour, aes(y=temperatureCelsius, x=time)) + 
  geom_line() + geom_point() +
  geom_point(data=prognoza$now, size=10, color='red') +
  theme(title=element_text(size=20),
        axis.text=element_text(size=20)) + 
  scale_x_datetime(breaks = date_breaks("3 hour"),
                   minor_breaks = date_breaks("1 hour"),
                   labels = date_format("
  ylab("") + xlab("") + ggtitle("Prognoza temperatury dla Warszawy")


## End(Not run)

SmarterPoland documentation built on Aug. 21, 2023, 1:06 a.m.