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A simple function that uses plyr and ggmap along with the Google Maps API to fetch a dataframe of City, Location, State and Country
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# @dependency ggmap for the geocode function | |
# @dependency plyr for ldply | |
# | |
# | |
# @param lat - The latitude value or column using $ notation | |
# @param long - The longitude value or column using $ notation | |
# @param api.key - Your Google Geocoding API key. | |
# You'll need to get one here: https://developers.google.com/maps/documentation/geocoding/start | |
# The Geocoding API requires you to sign up with payment details. You may get charged for using it in huge volumes. | |
# Please refer to the official documentation provided by Google on their pages. | |
# | |
# | |
# @return dataframe with four columns namely, CITY, STATE, COUNTRY, PINCODE | |
# | |
reverse.geolocate <- function(lat, long, api.key) { | |
require(ggmap) | |
require(plyr) | |
register_google(key = api.key) | |
result <- lapply(paste(lat, long, sep = ","), geocode, output = "more") | |
columns <- c(15:18) | |
geo.data <- (ldply(result, data.frame))[, columns] | |
colnames(geo.data) <- c("CITY", "STATE", "COUNTRY", "PINCODE") | |
return(geo.data) | |
} |
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