how to geocode the districts with NA outcome - r

I want to create a data frame in R with name of districts and their long and lat. For this purpose, I gave the command:
>locations_df <- mutate_geocode(cities_df, district)
This commands used the maps.googleapis.com for the purpose of geocoding, but for my 13 districts I am getting NA error. One of the error is pasted below:
geocode failed with status OVER_QUERY_LIMIT, location = "Sukkur"
How can I provide the geocode for missing values? I checked the name of missed cities on google map for spelling error but no such error was seen.
Thank you for the help.

Honestly your best bet may be to try running the query again. The results seem pretty idiosyncratic as far as I can tell (possibly related to dynamic IPs over WiFi?). These are my results from just now.
df %>% mutate_geocode(address)
Information from URL : http://maps.googleapis.com/maps/api/geocode/json?address=Sukkur&sensor=false
address lon lat
1 Sukkur NA NA
Warning message:
geocode failed with status OVER_QUERY_LIMIT, location = "Sukkur"
So it failed for me too. I checked the queries I had left, then added "Paris" to check its results.
geocodeQueryCheck()
2499 geocoding queries remaining.
df
address
1 Sukkur
df[2,1]<-"Paris"
df %>% mutate_geocode(address)
Information from URL : http://maps.googleapis.com/maps/api/geocode/json?address=Sukkur&sensor=false
Information from URL : http://maps.googleapis.com/maps/api/geocode/json?address=Paris&sensor=false
address lon lat
1 Sukkur 68.822808 27.72436
2 Paris 2.352222 48.85661
And now it works!
The issue may be helped by obtaining a Google Maps API key as this question suggests, which you can use if you install the GitHub version of ggmap.
The other option is to iterate through requests as an answer here suggests.

Related

Reverse geocode with open streetmaps

I found this question about converting a longitude and latitude into an address. The question uses ggmap's revgeocode which uses the google API. If I understood correctly, this is very costly.
I noticed that the following link about Accessing OpenStreetMap data with R, also uses ggmap. I was wondering if it is possible to use open street maps for revgeocode instead of the google API, or whether there is some other way to use OpenStreetMap to reverse geocode.
Data used for question:
humandate lat lon
09/10/2014 13:41 41.83174254 -75.87998774
09/10/2014 13:53 41.83189873 -75.87994957
Answer provided:
library(ggmap)
revgeocode(c(df$lon[1], df$lat[1]))
"27-37 Beech Street, Montrose, PA 18801, USA"
I found an answer for the API here, and I found this package is available in R: tmaptools.
I tried to do the following, but to no avail:
address <- tmaptools::rev_geocode_OSM(41.83174254 , -75.87998774)
Error in names(search_result_id) <- c("place_id", "osm_type", "osm_id", :
attempt to set an attribute on NULL

How to get lat long for indian cities in R?

I am trying to get lat long for Indian cities through ggmap package. Below is the code I have tried but it results in an error.
I created a vector with sample cities
library(ggmap)
mycities1<- c("Hyderabad","Chennai","Bangalore","Cochin","ARNHEM","London")
str(mycities1)
geocode(mycities1[1])
This is throwing out NA values though my city names are class of character.
Warning message: geocode failed with status OVER_QUERY_LIMIT, location
= "Hyderabad
Please change the source argument to dsk.
geocode(as.character(mycities1[1]), source = "dsk")
This is due to recent google-API changes.
There is also a current github-issue (or several actually) which adresses that problem.
geocode failed with status OVER_QUERY_LIMIT, location = "XXX" --> you
have not registered a correct and billing-enabled Google Maps API key
using register_google() (ggmap v2.7,903). Enabling billing is a
specific step after (!) adding your credit card information.

Get data from Yahoo! Finance to R

I am trying to get data from Yahoo! Finance to R
I've installed quantmod like that:
install.packages("quantmod", repos="http://R-Forge.R-project.org")
But when I try this:
getQuote("QQQQ;SPY", what=yahooQF("Last Trade (Price Only)"))
I see:
Error in download.file(paste("http://finance.yahoo.com/d/quotes.csv?
s=", :
cannot open URL 'http://finance.yahoo.com/d/quotes.csv?
s=QQQQ+SPY&f=d1t1l1'
In addition: Warning message:
In download.file(paste("http://finance.yahoo.com/d/quotes.csv?s=", :
URL 'http://download.finance.yahoo.com/d/quotes.csv?
s=QQQQ+SPY&f=d1t1l1': status was 'Couldn't resolve host name'
To answer the specific question asked:
getSymbols("QQQ;SPY", from="1997-12-31", src='yahoo')
works just fine - you get two xts series, QQQ and SPY (note that QQQQ is "dead" and replaced with QQQ), with 6 columns Open, High, Low, Close, Volume, Adjusted.
It looks like you only want the close? If so, you can get just that series with
Cl(QQQ)
If you don't like auto-assignment, you can use
qqq.data <- getSymbols("QQQ", auto.assign=FALSE, from="1997-12-31", src='yahoo')
to assign the downloaded data to a variable of your choice. Note that most people would probably be interested in the adjusted price instead, if so, you can select it with
Ad(QQQ)
Finally, indeed, as pointed out, google finance no longer provides data through its API.
getSymbols("AAPL",src="google") has been deprecated.
Error: ‘getSymbols.google’ is defunct.
Google Finance stopped providing data in March, 2018.
You could try setting src = "yahoo" instead.
See help("Defunct") and help("quantmod-defunct")

Valid client and signature using ggmap package in R

I am using ggmap package in R software in order to geocode a list of addresses. The counting is over 2500 - Googles diary quota for free users.
I have been searched about it and I found out that it is possible to geocode 100 thousand addresses per day if you have an account. I decided to open an account and I received a message that I have 60 trial days and they gave a 300 dollars credit. Despite this, I didnt discover where I can find the "client" and "signature" options that ggmap requires.
If someone can tell me where I can find it, please let me know!
My aim is to make Google searches by the address. If address is not recognized, then I make it searches for the local using the zip code. Here is what I am doing:
library(RJSONIO)
library(RCurl)
getGeoData <- function(location, api_key){
location <- gsub(' ','+',location)
geo_data <- getURL(paste("https://maps.googleapis.com/maps/api/geocode/json?address=",location,sprintf("&key=%s",api_key), sep=""))
geo_data <- fromJSON(geo_data)
if(geo_data$status=="ZERO_RESULTS"){
return(NA)
} else return(geo_data$results[[1]]$geometry$location)
}
New error:
getGeoData(basefinal$cep[6793], "MY KEY")[[2]]
Error in getGeoData(basefinal$cep[6793], "MY KEY")[[2]] :
subscript out of bounds

Using Bing option with taRifx.geo in R

I'm attempting to find the coordinates for several cities in Ghana. I've used the geocode function in taRifx.geo with the "google" option and had success, but Google doesn't know where all my cities are.
I'd like to use the Bing service to fill in the coordinates that were missing from my Google list and I'm starting with just one city ("Awutu Breku") to make sure the code works. I run this code, though, and get an error:
> Bkey <- "______________(my key would be here)____"
> Loc5 <- geocode("Awutu Breku", service="bing", BingMapsKey = Bkey,
+ returntype="coordinates")
Error in geocode.default("Awutu Breku", service = "bing", BingMapsKey = Bkey, :
To use Bing, you must save your Bing Maps API key (obtain at http://msdn.microsoft.com/en-us/library/ff428642.aspx) using options(BingMapsKey='mykey').
This error is very confusing since I do include the BingMapsKey argument but the function doesn't seem to be recognizing it.
I've searched quite a bit for an answer to this one and haven't come across anything. I even looked on the github page but couldn't figure out what might be wrong with my code. I feel like I'm missing something simple. Any help would be appreciated!
I needed to do a devtools::install_github("gsk3/taRifx.geo") to be able to use the geocode function and the instructions clearly state that you need to do a:
options(BingMapsKey='ridiculously_long_string')
before calling using the bing option:
geocode("1600 Pennsylvania Ave NW, Washington, DC 20500", service="bing")
## [1] 38.89719 -77.03655

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