788 search results for "MAPS"

Batch Geocoding with R and Google maps

October 12, 2013
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Batch Geocoding with R and Google maps

I’ve recently wanted to geocode a large number of addresses (think circa 60k) in Ireland as part of a visualisation of the Irish property market. Geocoding can be simply achieved in R using the geocode() function from the ggmap library. The geocode function uses Googles Geocoding API to turn addresses from text to latitude and

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Using Google maps API and R

September 3, 2013
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Using Google maps API and R

This post shows how to use Google Maps‘ API with R. Combine the first part with Plyr and it becomes a very powerful tool in just a few lines of code. You can find a gist in RMarkdown with the code here or click below to continue reading. The post Using Google maps API and R appeared first on

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Using Heatmaps to Uncover the Individual-Level Structure of Brand Perceptions

August 16, 2013
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Using Heatmaps to Uncover the Individual-Level Structure of Brand Perceptions

Heatmaps, when the rows and columns are appropriately ordered, provide insight into the data structure at the individual level.  In an earlier post I showed a cluster heatmap with dendrograms for both the rows and the columns.  In addition, I...

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Heatmapping Washington, DC Rental Price Changes using OpenStreetMaps

August 4, 2013
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Heatmapping Washington, DC Rental Price Changes using OpenStreetMaps

Percentage change of median price per square foot from July 2012 to July 2013: Percentage change of median price from July 2012 to July 2013: Last November I made a  choropleth of median rental prices in the San Francisco Bay Area using data from my company, Kwelia.  I have wanted to figure out how to

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Interfacing R and Google maps

July 30, 2013
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Interfacing R and Google maps

Introduction I couple of weeks ago I had an idea for a website where people can collaborate to create the first real Audio Atlas, using the power of the Google Maps API. The problem was that I do some programming in R but I did know very few things about HTML and javascript. However, I knew that having...

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UK dialect maps

July 10, 2013
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UK dialect maps

A few weeks ago Joshua Katz published some awesome dialect maps of the United States with the help of a web interface coded with Shiny. Now we propose a similar setup for the UK data based on our rapporter.net "R-as-a-Service" with some further add-ons, like regional comparison and dynamic textual analysis of the differences: You may...

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Interactive Heatmaps (and Dendrograms) – A Shiny App

July 7, 2013
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Interactive Heatmaps (and Dendrograms) – A Shiny App

Heatmaps are a great way to visualize data matrices. Heatmap color and organization can be used to  encode information about the data and metadata to help learn about the data at hand. An example of this could be looking at the raw data  or hierarchically clustering samples and variables based on their similarity or differences.

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R2leaflet (v0.1) – make interactive online maps from R

June 11, 2013
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R2leaflet (v0.1) – make interactive online maps from R

I have been working on a simple R function to take latitude and longitude of points of interest, and text for pop-up labels, and produce an interactive online map. Interactive graphics are incredibly useful in getting people interested in your … Continue reading →

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Working with shapefiles, projections and world maps in ggplot

May 23, 2013
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Working with shapefiles, projections and world maps in ggplot

In this post I show some different examples of how to work with map projections and how to plot the maps using ggplot. Many maps that are using the default projection are shown in the longlat-format, which is far from optimal. Here I show how to use either the Robinson or Winkel Tripel projection. Read more

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heatmaps with p-values (2)… coloured according to odds ratio

May 7, 2013
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heatmaps with p-values (2)… coloured according to odds ratio

I like heatplots with p-values -or frequencies, or whatever-. Not very conclusive, but pretty anyway. And when talking about graphs, pretty will make our neurons to fire in more interesting ways: neurons like “pretty” graphs. Moreover, observing your data can … Sigue leyendo →

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