Abstract
A challenge, visualization is often faced with, is the complex structure of scientific data. Complexity can arise in various ways, from high dimensionalities of domains and ranges, time series of measurements, ensemble simulations, to heterogeneous collections of data, such as combinations of measured and simulated data. Many of these complexities can be subsumed under a concept of multifields, and in fact, multifield visualization has been identified as one of the major current challenges in scientific visualization. In this chapter, we propose a multifield definition, which will allow us a systematic approach to discussing related research.
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References
Johnson, C., Brederson, D., Hansen, C., Ikits, M., Kindlmann, G., Livnat, Y., Parker, S., Weinstein, D., Whitaker, R.: Computational field visualization. In: Mathematics Unlimited—2001 and Beyond, pp. 605–630. Springer, Berlin (2001)
Obermaier, H.: Multi-field visualization. Ph.D. thesis, TU Kaiserslautern (2011)
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© 2014 Springer-Verlag London
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Hotz, I., Peikert, R. (2014). Definition of a Multifield. In: Hansen, C., Chen, M., Johnson, C., Kaufman, A., Hagen, H. (eds) Scientific Visualization. Mathematics and Visualization. Springer, London. https://doi.org/10.1007/978-1-4471-6497-5_10
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DOI: https://doi.org/10.1007/978-1-4471-6497-5_10
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Online ISBN: 978-1-4471-6497-5
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