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Scientific visualization
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=== Two-dimensional data sets === Scientific visualization using computer graphics gained in popularity as graphics matured. Primary applications were scalar fields and vector fields from computer simulations and also measured data. The primary methods for visualizing two-dimensional (2D) scalar fields are color mapping and drawing [[contour line]]s. 2D vector fields are visualized using [[Glyph (data visualization)|glyphs]] and [[Streamlines, streaklines, and pathlines|streamlines]] or [[line integral convolution]] methods. 2D tensor fields are often resolved to a vector field by using one of the two eigenvectors to represent the tensor each point in the field and then visualized using vector field visualization methods.
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