Abstract
This chapter describes various types of General Line Coordinates for visualizing multidimensional data in 2-D and 3-D in a reversible way. These types of GLCs include n-Gon, Circular, In-Line, Dynamic, and Bush Coordinates, which directly generalize Parallel and Radial Coordinates. Another class of GLCs described in this chapter is a class of reversible Paired Coordinates that includes Paired Orthogonal, Non-orthogonal, Collocated, Partially Collocated, Shifted, Radial, Elliptic, and Crown Coordinates. All these coordinates generalize Cartesian Coordinates. In the consecutive chapters, we explore GLCs coordinates with references to this chapter for definitions. The discussion on the differences between reversible and non-reversible visualization methods for n-D data concludes this chapter.
Descartes lay in bed and invented the method of co-ordinate geometry.
Alfred North Whitehead
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Kovalerchuk, B. (2018). General Line Coordinates (GLC). In: Visual Knowledge Discovery and Machine Learning. Intelligent Systems Reference Library, vol 144. Springer, Cham. https://doi.org/10.1007/978-3-319-73040-0_2
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DOI: https://doi.org/10.1007/978-3-319-73040-0_2
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