Data visualization is an important issue in information visualization. In specific applications, data may have different shapes when occurring in scientific phenomena or in some other perspective. A simple application may be when data is globally monotone or convex. Representing data in a visually meaningful and computationally efficient way is a significant topic to consider. This chapter deals with such situations using the piecewise rational cubic interpolant of Section 3.3. For simplicity, the shape parameters introduced in each interval have been constrained to solve the problem of shape-preserving interpolation for planer curves. Scalar curves are also considered as a special case, but they are discussed in detail in Chapters 7 and 8.
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(2008). Shape-Preserving Rational Interpolation for Planar Curves. In: Interactive Curve Modeling. Springer, London. https://doi.org/10.1007/978-1-84628-871-5_6
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DOI: https://doi.org/10.1007/978-1-84628-871-5_6
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