Hi, Related to Julyan’s previous post, I want to share an easy way to access Google Maps API through R. And then we’ll stop about Google, otherwise it’ll look like we’re just looking for jobs. My problem was the following: … Continue reading →
514 search results for "maps"
Calling Google Maps API from R
Let R fly: Visualizing Export Data using R
Having been using R for 5+ years, visiting www.r-bloggers.com daily, learning cool tricks from it and knowing cool UseRs from it, I finally decide to quit being an observer and start to be a contributor to this wonderful community. In this very … Continue reading →
Reminder: One week til Rcpp class in San Francisco
Just a quick note to remind everyone that the Rcpp class in San Francisco, which I am holding together with Revolution Analytics, will take place a week from today. We are happy to report that the number of registrations has met our initial target...
Microfinance Map of India – another go…
I gave it another go, trying to get a map that looks a bit nicer. This time, I tried to compute something like a density or intensity in a certain area. On the previous map, this was not visible very well. I used ggplot2 and a bit of R code, together with RGoogleMaps to produce the
World Tourism Day, and Google Public Data Explore
Today is the World Tourism Day! So let’s speak about some tourism related datasets – and others. Among other nice functions, Google offers a Public Data Explore in a beta version which provides a collection of datasets from OECD, IMF, Eurostat, … Continue reading →
Nice Species Distribution Maps with GBIF-Data in R
Here's an example of how to easily produce real nice distribution maps from GBIF-data in R with package maps... Read more »
Map the distribution of your sample by geolocating ip addresses or zip codes
Yesterday I wanted to create a map of participants from a study on social media and partisan selective exposure that Sean Westwood and I ran recently, with participants from Amazon’s Mechanical Turk. We recorded ip addresses for each Turker participant, so … Continue reading →
Converting values to color levels
Adding color to a plot is helpful in many situations for visualizing an additional dimension of the data. Again, I wrote the below function "val2col" in R after having coded this manually over and over in the past. It uses similar arguments as the image function in that one defines the...
Link to StatDNA Guest Post
The post is officially up on the StatDNA blog. Go check it out.As I said in my previous post, this is a very rough and preliminary model. This is why my work was not any sort of formal entry, just some fun with some great data.I used an Vector Genera...
Microfinance in India: Getting a sense of the geographic distribution
I am working on a review paper on microfinance in India and use data from the MIX market. Today, I was amazed by how quick I conjured a map of India with the headquarters of the microfinance institutions that report data to the MIX market depicted on that map. Ideally, I would have more geolocation
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
