getGeoCode <- function(gcStr, key) { library("RJSONIO") #Load Library gcStr <- gsub(' ','%20',gcStr) #Encode URL Parameters #Open Connection connectStr <- paste0('https://maps.googleapis.com/maps/api/geocode/json?address=',gcStr, "&key=",key) con <- url(connectStr) data.json <- fromJSON(paste(readLines(con), collapse="")) close(con) #Flatten the received JSON data.json <- unlist(data.json) if(data.json["status"]=="OK") { lat <- data.json["results.geometry.location.lat"] lng <- data.json["results.geometry.location.lng"] gcodes <- c(lat, lng) names(gcodes) <- c("Lat", "Lng") return (gcodes) } }
Essentially, users need to get an API key from google and then use as an input (string) for the function. The function itself is very simple, and it is an adaptation of some code I found on-line (unfortunately I did not write down where I found the original version so I do not have a way to reference the source, sorry!!).
geoCodes <- getGeoCode(gcStr="11 via del piano, empoli", key)
To use the function we simply need to include an address, and it will return its coordinates in WGS84.
It can be used in a mutate call within dplyr and it is reasonably fast.
The repository is here:
https://github.com/fveronesi/RGeocode.r
Great!! I thought you might have seen my functions for geodata but they are structured differently. Same function was created from scratch in my lares library: https://github.com/laresbernardo/lares/blob/master/R/geodata.R
ReplyDeleteHope they become useful as well!
Great function! Thank you for sharing.
DeleteHi this is fantastic (the first geo code function that has actually worked for me) but I seem to be running into unknown issues with the API? I checked my API developer console and it seemed like the query stopped at around 280 calls (about 1 call per second) - have you tried this function with over 2,000 address to be parsed?
ReplyDeleteI have tested it with 100s, not 1000s of addresses. Does it give you an API message?
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