Thanks to a helpful SO-Answer I was able to download all CLC vector data (43 zip-files) programmatically:
require(XML)
path_to_files dir.create(path_to_files)
setwd(path_to_files)
doc urls
# function to get zip file names
get_zip_name
# function to plug into sapply
dl_urls
# download all zip-files
sapply(urls, dl_urls)
# function for unzipping
try_unzip
# unzip all files in dir and delete them afterwards
sapply(list.files(pattern = "*.zip"),...
Last year I sat on a couple of panels organised by I’m a Scientist’s Shane McCracken at various science communication conferences. A couple of days ago, I noticed Shane had popped up a post asking Who are you Twitter?, a quick review of a social media mapping exercise carried out on the followers of the 
Identifying project stakeholders and their requirements is a very important factor in the success of any project. Existing techniques tend to be very ad-hoc. In her PhD thesis Soo Ling Lim came up with a very interesting solution using social network analysis and what is more made her raw data available for download I have
(This article was first published on G-Forge » R, and kindly contributed to R-bloggers) Sitting with a data set with too many variables? The SVD can be a valuable tool when you’re trying to sift through a large group of continuos variables. The image is CC by Jonas in China. It can feel like a daunting task when you...
A new version of the OpenStreetMap package is now up on CRAN, and should propagate to all the mirrors in the next few days. The primary purpose of the package is to provide high resolution map/satellite imagery for use in your R plots. The package supports base graphics and ggplot2, as well as transformations between spatial coordinate
I was Inspired from Ben Frys all Streets project. There he plotted all streets of the United States of America (about 240 million segments). I tried this first for the countries in Europe, France has about 22 million segments, with the goal to get an all street map of Europe. My data source originate from
I was fortunate enough to have been able to attend the Amazon AWS Summit in NYC and to listen to Werner Vogels give the keynote. I will share a few of my thoughts on the AWS 2013 Summit and some of my take-aways. I attended sessions that focused on two products in particular: Redshift and
Sometimes people ask me how the examples of my plotting functions I show here can be reproduced without having a SPSS data set (or at least, without having the data set I use because it’s not public yet). So I … Weiterlesen →
Spotting international conflict is very easy with the GDELT data set, combined with ggplot and R. The simple gif above shows snapshots of Russian/Soviet activity from January 1980 and January 2000. I think it also illustrates how Russia nowadays looks more to the east and the South than during the Cold War. The trend, though...
by Thomas Dinsmore Revolution R Enterprise Release 6.2 goes live next week, so naturally our development team is thinking ahead to Release 7, which we plan to release later this year. Some of those enhancements are hush-hush, and we can't talk about them yet. But one of the most important enhancements we've already announced: support for predictive analytics inside...
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
