Scientific visualisation is the rendering of multidimensional scientific data into visual form to support analysis and communication. It includes volume rendering, isosurface extraction, flow and vector-field visualisation, and time-varying simulation playback. It depends on graphics rendering pipelines and techniques such as ray tracing to convey spatial and quantitative structure accurately.
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- Core methods include direct volume rendering with transfer functions, marching-cubes isosurfacing, and streamline or glyph-based vector visualisation. Fidelity to the underlying data, perceptually sound colour mapping, and interactive performance on large datasets are the central design constraints.