Filling in missing data
Abstract
Chapter 10, Filling in Missing Data, discusses the interpolation of one- and two-dimensional data. Interpolation is shown to be yet another special case of the linear model. The relationship between interpolation and the gap-filling techniques developed in Chapter 5 is shown to be related to different approaches to implementing prior information about the properties of the data. Linear and spline interpolation, as well as kriging, are developed. Two-dimensional interpolation and Delaunay triangulation, a critical technique for organizing two-dimensional data, are explained. Two-dimensional Fourier transforms, which are also important in many two-dimensional data analysis scenarios, are also discussed.
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