periodic table of visualisation methods > http://www.visual-literacy.org/periodic_table/periodic_table.html

the InfoVisu group at CWI provides a good overview, and many links to papers, software, and general information on the topic http://www.cwi.nl/InfoVisu/

• http://datavisualization.ch/tools/selected-tools/

• “Graphical visualization of text similarities in essays in a book” > http://www.munterbund.de/visualisierung_textaehnlichkeiten/essay.html

• INA/Infographics > http://www.princeton.edu/~ina/
• visual complexity collation > http://www.visualcomplexity.com/vc/
• http://datamining.typepad.com/gallery/blog-map-gallery.html

• there is are large sections of overlap with Graph Drawing and Network Topology
• general resources, http://www.cs.man.ac.uk/~ngg/InfoViz/
• visual representations of a body of text(s) http://textarc.org/
• … the 'history flow' of collaborative text editing http://www.research.ibm.com/history/
• the sunburst radial spacefilling heirarchical diagram » http://www.cc.gatech.edu/gvu/ii/sunburst/

• linux kernel development in 3d >
• http://perso.wanadoo.fr/pascal.brisset/kernel3d/kernel3d.html
• freecode graphing http://fcgp.sourceforge.net/
• the linux kernel, later version > http://lug.oregonstate.edu/projects/kernelmap/map.php
• the social life of cvs and mailing lists » http://www2.parc.com/csl/members/nicolas/
• a series of animations visualising commit histories to FLOSS projects > http://www.vimeo.com/1076588
• code_swarm / codeswarm
  • http://code.google.com/p/codeswarm/
  • example of the PLT tree http://vimeo.com/1508560

• Blaine A. Price, Ronald Baecker, and Ian Small. A principled taxonomy of software visualization. Journal of Visual Languages and Computing, 4(3):211-266, 1993.
• gcspy
• “SHriMP (Simple Hierarchical Multi-Perspective) is a domain-independent visualization technique designed to enhance how people browse and explore complex information spaces.” » http://www.thechiselgroup.org/shrimp
• codedoc > http://www.whitney.org/arport/commissions/codedoc/Paley/CodeProfiles_800x600.htm

• http://www9.informatik.uni-erlangen.de/Persons/Rezk/Research/VolRen
• openQVIS http://openqvis.sourceforge.net/
• http://www.osc.edu/~jbryan/VolSuite/

• vtk (visualization toolkit) http://public.kitware.com/VTK/
• http://www.textarc.org/
• http://www.research.att.com/areas/stat/xgobi/
• graphviz (in GraphDrawing)
• Data Explorer http://www.opendx.org/ (see: VisualProgramming)
• scientific computing + imaging institute http://software.sci.utah.edu/
• for weather like datasets http://www.ssec.wisc.edu/~billh/vis5d.html
• mathematical visualisation http://mvs.sourceforge.net/
• orange, for fruitful data mining > http://magix.fri.uni-lj.si/orange/
• paraVIEW “is an open-source, multi-platform application designed to visualize data sets of size varying from small to very large” > http://paraview.org/

• M.S.T. Carpendale and A. Agarawala (2004). PhylloTrees?: Harnessing Nature's Phyllotactic Patterns for Tree Layout. > http://honeybrown.ca/Pubs/PhylloTrees.pdf

• http://feltron.com/06report_00index.html

• Tamara Munzner, Stanford Graphics Group http://graphics.stanford.EDU/~munzner/papers.html
• functional and aesthetic research focusing on developing approaches to data, in particular, the human genome. http://acg.media.mit.edu/people/fry/
• infoViz resources http://graphics.stanford.edu/courses/cs348c-96-fall/resources.html
• visualising social networks http://www.netvis.org/resources.php
• infoaesthetics blog > http://www.infosthetics.com/
• citespace > http://cluster.cis.drexel.edu/~cchen/citespace/
• gori.garden > http://jee.manme.org.uk/
• topic maps > http://www.ontopia.net/topicmaps/materials/tao.html
• http://thediagram.com/6_3/
• EcoViz
• http://services.alphaworks.ibm.com/manyeyes/home
• http://delicious.com/TomC/information_visualisation

• many eyes, “shared visualzation and discovery” > http://services.alphaworks.ibm.com/manyeyes/home
• http://www.swivel.com/
• http://www.trackngraph.com/www/
• info visualization widgets > http://widgenie.com/

• “Science and Engineering Visualization Challenge 2007” > http://www.sciencemag.org/sciext/vis2007/

• Richard Tufte: The Visual Display of Quantitative Information: https://www.edwardtufte.com/tufte/index