Viznet 8 5 08

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<ul><li> 1. Combining the real world and abstract visualization Stuart Dunn Centre for e-Research Kings College London VizNet conferenceLoughborough, 8th May 2008</li></ul> <p> 2. Key issues &gt; Descriptive semantics &gt; Underlying assumptions &gt; Integration of space and time &gt; Integration of multiple datasets (source, scale, provenance, etc) 3. Descriptive semantics 4. We cannot take control of a disciplinary vocabulary and impose it on other researchers. We are are not all logicists. I am certainly not a logicist, and I never will be. Descriptive semantics 5. Descriptive semantics Ecotricity wind turbine, Reading 6. Underlying assumptions 7. Underlying assumptions Google Earth [v. 4.2 (beta)] Berkshire [v. 1.0] Ecotricity Asda, Lower Earley 8. Underlying assumptions 9. Integration of space and time 10. Integration of space and time 11. Integration of space and time 12. Geographical Information Systems: (vector) GIS Integration of multiple datasets (source, scale, provenance, etc) e.g. roads, rivers e.g. places e.g. countries, territories etc 13. Integration of multiple datasets (source, scale, provenance, etc) 14. Integration of multiple datasets (source, scale, provenance, etc) 15. Integration of multiple datasets (source, scale, provenance, etc) Map 5.6 (NB: insets not to scale) 16. Integration of multiple datasets (source, scale, provenance, etc)</p>