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 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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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.

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