Draft taxonomy

It's worth noting that headings in a taxonomy are never perfect; they are intended as aids for retrieval, and will be shaped over time as a field grows and changes.

With that in mind;

1. headings should be distinct (documents may come under more than one heading - and maybe even require a new sub heading, while headings.
2. the organisation and order of headings is arbitrary and often flawed, but remember these are just aids for retrieval, they don't define the field. Try to think like an undergraduate (who knows nothing about InfoVis) when making changes.
3. look at the keywords you have assigned your own papers, bookmarks, references etc. is anything missing here? The add it.
4. ideally this will be a tool used by catalogers(librarians) and publishers to help readers find works in infovis. They may only have a passing knowledge of the field.
5. avoid acronyms, or define them clearly if they have 'literary warrant' (eg aformentioned undergrad is likely to search for IVRM)

here goes;

possible taxonomy for information visualisation

• Techniques (techniques for constructing and rendering visualisations)
  • Frameworks and reference models
    • IVRM (infoVis reference model; also known as Chi's (1998?) Data State Model )
    • Other?
• Evaluation
  • Usability methods
  • Utility methods
  • Transferability methods
• Applications
  • in Digital Libraries
  • in Sensemaking
  • in Education
  • in Information Retrieval
• Collaborative Visualisation
• Web Visualisation
• Large Scale Visualisation
• Visual Analytics
• Knowledge Visualisation
  • New Classifications
  • Theory
  • Applications
  • Indigenous Knowledge Visualisation
  • Knowledge Domain Visualisation
• in Biomedical Informatics-IVBi
• in Built and Rural Environments
• Design Visualisation
• Visual Data Mining
• Interaction techniques
  • Dynamic queries
  • Direct manipulation
  • Details on demand
• Interfaces
  • Zooming
  • 3d
• Applications (applications of other fields to InfoVis)
  • of Graph Theory
  • of Information Extraction
  • of Data Mining
• Augmented, Mixed and Virtual Reality
• Multimedia and E-Learning
• Digital Art
• Animation, Computer Games and their Applications
• Education