Geocoding location data with dismo

December 20, 2012

(This article was first published on is.R(), and kindly contributed to R-bloggers)

Today’s Gist could actually end up being very useful to a number of you. It’s something of a trumped-up example, but it illustrates in very simple code how to do three interesting things:

  1. Gather Tweets by search term (which we’ve done before), and look up user info for each of the users returned by that search.
  2. Convert textual user location data to approximate latitude & longitude coordinates with the Google geocoding web-service, using a single function, geocode(), from the dismo package. This is a revelation to me, and though there appears to be a daily rate limit, I can imagine so many applications for which this would be useful.
  3. Very easily plot a world map (albeit with a lame projection), and superimpose points indicating the inferred location of #rstats-Tweeting users.

And all in just 29 (+/-) lines. Truly, truly, we are living in a great era for statistical computing.

To leave a comment for the author, please follow the link and comment on their blog: is.R(). offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...

If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Comments are closed.


Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)