If you want to create rainfall maps for the whole world in R there is no readily available code or package to do this. Moreover, data publicly available from research institutions is not generally in plain text format or other familiar formats. Hydrological and climatological studies sometimes require rainfall data over the entire world for long periods of time....

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Update: I am aware the table of contents are being displayed in bullet form as I intended. The web template I'm using seems to be buggy. It also seems to think this page is in Indonesian...Working on it!

Table of Contents:

1. Reading/Writing Files
1. How to write lines of text into a file
2. Trimming a huge (3.5GB) csv...

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Survey research deals with the problem of question wording by always asking the same question.  Thus, the Gallup Daily Tracking is filled with examples of moving averages for the exact same question asked precisely the same way every day. &nb...

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I am applying for Google Summer of Code 2013 with this “Biodiversity Visualizations using R” proposal. I am posting this idea to get feedback and suggestions from Biodiversity Informatics community.

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First, I would like to welcome all of you reading this via R-Bloggers. I have been a user of this superb resource for years and I'm proud that I now have the opportunity to contribute!In The Financial Crisis on Tape Part I I demonst...

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Several R packages provide an interface to query map services (Google Maps, Stamen Maps or OpenStreetMap) to obtain raster images …

Continuar leyendo »

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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"),...
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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

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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

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