Discrete 2D survey data is common in the areas of business, science and government. Visualisation is often used to present such data. The best form of visualisation depends on how the visualisation is to be used. In this paper we present a study of interpolation and approximation techniques for creating visualisations of 2D survey data to be used to present the data to a non-technical audience. We use and modify techniques from the fields of computer-aided design, medical imaging and scientific visualization and we evaluate and compare their suitability for interpolation of the data.
|Cite as: Wuensche, B. and Tempero, E. (2004). A Comparison and Evaluation of Interpolation Methods for Visualising Discrete 2D Survey Data. In Proc. Australasian Symposium on Information Visualisation, (invis.au'04), Christchurch, New Zealand. CRPIT, 35. Churcher, N. and Churcher, C., Eds. ACS. 1-7. |
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