1198 search results for "maps"

choroplethr v3.0.0 is now on CRAN

March 16, 2015
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choroplethr v3.0.0 is now on CRAN

Today I am happy to announce that version 3.0.0 of my R mapping package choroplethr is now available from CRAN. To get it, you can simply type: install.packages("choroplethr") from an R console. If you don’t know what any of this means then I recommend taking Coursera’s excellent R Programming class :) The most notable change in

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choroplethr v3.0.0 is now on CRAN

March 16, 2015
By
choroplethr v3.0.0 is now on CRAN

Today I am happy to announce that version 3.0.0 of my R mapping package choroplethr is now available from CRAN. To get it, you can simply type: install.packages("choroplethr") from an R console. If you don’t know what any of this means then I recommend taking Coursera’s excellent R Programming class The most notable change in version

Read more »

New R Package – ipapi (IP/Domain Geolocation)

March 9, 2015
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I noticed that the @rOpenSci folks had an interface to ip-api.com on their ToDo list so I whipped up a small R package to fill said gap. Their IP Geolocation API will take an IPv4, IPv6 or FQDN and kick back a ASN, lat/lon, address and more. The ipapi package exposes one function – geolocate

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Motor Vehicle Collision Density in NYC

March 6, 2015
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Motor Vehicle Collision Density in NYC

In a previous post, I visualized crime density in Boston using R’s ggmap package. In this post, I use ggmap to visualize vehicle accidents in New York City. R code and data are included in this post. The data comes from NYC Open Data. My data cut ranges from 2012 to 2015. The data tracks the type of … Continue reading...

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Motor Vehicle Collision Density in NYC

March 6, 2015
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Motor Vehicle Collision Density in NYC

In a previous post, I visualized crime density in Boston using R’s ggmap package. In this post, I use ggmap to visualize vehicle accidents in New York City. R code and data are included in this post. The data comes from NYC Open Data. My data cut ranges from 2012 to 2015. The data tracks the type of … Continue reading...

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Getting Data From An Online Source

March 6, 2015
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Getting Data From One Online SourceRobert NorbergHello world. It’s been a long time since I posted anything here on my blog. I’ve been busy getting my Masters degree in statistical computing and I haven’t had much free time to blog. But I’ve writing R code as much as ever. Now, with graduation approaching, I’m job hunting and I thought it would...

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Color extraction with R

March 4, 2015
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Color extraction with R

Given all the attention the internet has given to the colors of this dress, I thought it would be interesting to look at the capabilities for extracting colors in R. R has a number of packages for importing images in various file formats, including PNG, JPG, TIFF, and BMP. (The readbitmap package works with all of these.) In each...

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Next Kölner R User Meeting: Friday, 6 March 2014

March 3, 2015
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Next Kölner R User Meeting: Friday, 6 March 2014

The next Cologne R user group meeting is scheduled for this Friday, 6 March 2014 and we have an exciting agenda with two talks, followed by networking drinks:Using R in Excel via R.NETGünter Faes and Matthias SpixMS Office and Excel are the 'de-facto' standards in many industries. Using R with Excel offers an opportunity...

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Silhouettes

March 2, 2015
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Silhouettes

Romeo, Juliet, balcony in silhouette, makin o’s with her cigarette, it’s juliet (Flapper Girl, The Lumineers) Two weeks ago I published this post for which designed two different visualizations. At the end, I decided to place words on the map of the United States. The discarded visualization was this other one, where I place the words over the silhouette … Continue reading...

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John Snow, and OpenStreetMap

February 27, 2015
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John Snow, and OpenStreetMap

While I was working for a training on data visualization, I wanted to get a nice visual for John Snow’s cholera dataset. This dataset can actually be found in a great package of famous historical datasets. library(HistData) data(Snow.deaths) data(Snow.streets) One can easily visualize the deaths, on a simplified map, with the streets (here simple grey segments, see Vincent Arel-Bundock’s...

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