✎ information_visualisation [the libarynth]

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===== information visualisation =====

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/

==== text, and textual information ====

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

==== re.mapping_projects ====

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

==== related ====
 
  * 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/

==== code graphing ====

* 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/

==== software/program visualisation ====

* 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

==== volumetrics ====

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

==== software ====
 
  * 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/

==== heirarchical ====

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

==== personal ====

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

==== rNd_links ====
 
  * 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/
  * many eyes, "shared visualzation and discovery" > http://services.alphaworks.ibm.com/manyeyes/home
  * [[EcoViz]]

==== sci.viz ====
  * "Science and Engineering Visualization Challenge 2007" > http://www.sciencemag.org/sciext/vis2007/

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

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