Data Visualization : Principles and Practice by Alexandru C. Telea
By Alexandru C. Telea
"" """"An first-class reference for any complex, college-level retaining powerful in special effects or info visualization techniques.""""-- The Midwest e-book evaluation , April 2008 """"For complex undergraduate or early graduate scholars of machine technology, arithmetic, and engineering sciences, Telea introduces the rules of information visualization because it is practiced in such nation-states as sign thought, imaging, computer photos, and statistics."""" -BOOK information Inc., June 2008"" Read more...
summary: "" """"An first-class reference for any complex, college-level conserving powerful in special effects or information visualization techniques.""""-- The Midwest ebook evaluation , April 2008 """"For complicated undergraduate or early graduate scholars of computing device technological know-how, arithmetic, and engineering sciences, Telea introduces the rules of information visualization because it is practiced in such nation-states as sign thought, imaging, special effects, and statistics."""" -BOOK information Inc., June 2008""
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Extra resources for Data Visualization : Principles and Practice
1). Setting the material color is accomplished by the function call g l C o l o r 3 f (r ,g ,b ) ; where the color is speciﬁed by the RGB model using three ﬂoating-point values r, g, b in the range [0, 1]. 3. 3. Rendering the Height Plot 25 iﬁcation is issued. 1, it is suﬃcient to issue a single glColor3f call before all the quads are drawn. 37. 1). In OpenGL, lights are speciﬁed by a number of function calls. First, OpenGL must be set up to use the Phong lighting equation, by enabling the lighting mechanism.
Pn in R3 , we deﬁne the transformation T that maps from a point r, s, t in the reference cell coordinate system to a point x, y, z in the actual cell to be n pi Φ1i (r, s, t). 8) i=1 In other words, T is a linear combination of the basis functions Φ1i of the given cell, evaluated at the desired location r, s, t in the reference cell, weighted with the world cell vertex coordinates pi . If T maps the reference cell to the world cell then its inverse T −1 maps points x, y, z in the world cell to points r, s, t in the reference cell, where our basis functions Φ1i are deﬁned.
Intrinsically continuous data, whether coming in its original continuous representation or represented by some sampled approximation, is the subject of a separate branch of data visualization. This branch is traditionally called scientiﬁc visualization, or scivis. 1. Continuous Data 41 by various scientiﬁc and engineering disciplines, such as physics, chemistry, mechanics, or engineering. Intrinsically discrete data, which has no direct continuous counterpart, is the subject of a relatively younger visualization branch, called information visualization, or infovis.