I missed some crucial features1 in existing open source GIS tools, so I started to write my own.
The Python package Kartograph.py allows you to project, filter, join and simplify geo data as well as exporting the results as SVG or KML mals. Additionally there's a tiny coffee-script library Kartograph.js, built on top of RaphaelJS, that allows you to render the SVG files within web pages and build interactive maps with it.
A series of interactive visualizations and maps for German state election.
Visualization of the version history of the German law on political parties.
An open source charting tool.
Using Kartograph, I rendered high res maps of airport noise, flight tracks and protection zones.
Interactive Visualisation of Key Statistics in Education around the World
A novel approach for mapping needs of designers and data journalists.
Open Source Library for working with colors in visualizations
Exploring correlation between political preferences and referendum votes
A series of streamgraph visualizations around German energy data.
Showing the digital divide by mapping internet usage and population
Closeness of coalition parties at roll-call votes in the German Bundestag
Open Source tool for visualizing hierarchical data using interactive radial bubble trees.
Visualisation of growth patterns of German Wikipedia
How many people would have been evacuated in case of an accident?
Shortest distances to nuclear reactors, mapped for different countries.
Showing plagiarism patterns in Guttenberg dissertation
Putting Europe's 2020 energy targets into context.
Visualizing estimated noise of planned flight routes
Animated map of the Rise of mirror servers after blocking of Wikileaks.org
Map of the estimated income of members of the German parliament.
Visualization of the network of parties, party donors and donations.