Guerrilla HCI: using discount usability engineering to penetrate the intimidation barrier
Cost-justifying usability
Readings in information visualization: using vision to think
Readings in information visualization: using vision to think
Ecological Data: Design, Management and Processing
Ecological Data: Design, Management and Processing
Evaluating usability methods: why the current literature fails the practitioner
interactions - The digital muse: HCI in support of creativity
Combining Linking & Focusing Techniques for a Multiple Hierarchy Visualisation
IV '01 Proceedings of the Fifth International Conference on Information Visualisation
The Grid 2: Blueprint for a New Computing Infrastructure
The Grid 2: Blueprint for a New Computing Infrastructure
A review of overview+detail, zooming, and focus+context interfaces
ACM Computing Surveys (CSUR)
DILS'05 Proceedings of the Second international conference on Data Integration in the Life Sciences
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All aspects of organismal biology rely on the accurate identification of specimens described and observed. This is particularly important for ecological surveys of biodiversity, where organisms must be identified and labelled, both for the purposes of the original research, but also to allow reinterpretation or reuse of collected data by subsequent research projects. Yet it is now clear that biological names in isolation are unsuitable as unique identifiers for organisms. Much modern research in ecology is based on the integration (and re-use) of multiple datasets which are inherently complex, reflecting any of the many spatial and temporal environmental factors and organismal interactions that contribute to a given ecosystem. We describe visualization tools that aid in the process of building concept relations between related classifications and then in understanding the effects of using these relations to match across sets of classifications.