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Introduction Pyramid Exercise |
Visualisation in the Social Sciences WorkshopTowards a Research Agenda for Social Science Visualisation | |
TABLE 2: Twenty-four issues identified at Stage 3 (Groups of four) | ||
| A | Research into peoples understandings of visualisations and the implications for dissemination | |
| A | Development and incorporation of visualisation techniques at the start of research projects | |
| A | Potential of visualisation in the construction of non-hierarchical texts such as CD and interactive maps. | |
| A | Innovative use of technology | |
| A | Statistical model validation via EDA | |
| A | Public domain visualisation | |
| A | Schematic paradigm for visualisations | |
| A | Visualization of highly multivariate and multi modal data. | |
| B | Visualisation over shared environments | |
| B | Visualisation of large and complex networks | |
| B | Evaluation of Visualisation techniques | |
| B | Visualisation of spatial modelling | |
| B | Temporal aspects of spatial data | |
| B | Improve access to visualisation tools, including a repository of algorithms | |
| B | Network visualisation (especially Internet) | |
| B | Perceptual aspects of visualisation | |
| C | Evaluation of the role of VR in visualising spatial data in the social sciences | |
| C | Visualisation of population socio-economic dynamics | |
| C | 'Collapsing the McEachren cube' | |
| C | Dissemination to all social science disciplines from the visualisation 'champions' | |
| C | Develop ways to assess appropriate necessary and effective visualisation | |
| C | Visualising networks of qualitative data | |
| C | Development of methods to visualize hypervariate data | |
| C | Investigate how people structure, link and navigate images and texts | |
Graphics Multimedia Virtual Environments Visualisation Contents