Computational Visualization
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Computational Visualization
Author: Thomas Strothotte
language: en
Publisher: Springer Science & Business Media
Release Date: 2012-12-06
A unified and coherent introduction to the notion of abstraction in interactive computer graphics is provided by this book. Abstraction entails refinement of images based on geometric models so as to reflect the importance of the features of the model for the dialog context and the visualization goal. This may require leaving out irrelevant details or accentuating significant features by adding details or enlarging or deforming parts. Such modifications are routine by hand but are at the leading edge of research in 2D and 3D computer graphics. The authors see the abstraction process as an interactive exploration of complex information spaces, and report especially on zooming and rendering techniques. Benefits are discussed for applications in medical illustration and technical documentation.
Computational Modeling and Visualization of Physical Systems with Python
Computational Modeling, by Jay Wang introduces computational modeling and visualization of physical systems that are commonly found in physics and related areas. The authors begin with a framework that integrates model building, algorithm development, and data visualization for problem solving via scientific computing. Through carefully selected problems, methods, and projects, the reader is guided to learning and discovery by actively doing rather than just knowing physics.
Spatial Analysis
An introductory text for the next generation of geospatial analysts and data scientists, Spatial Analysis: Statistics, Visualization, and Computational Methods focuses on the fundamentals of spatial analysis using traditional, contemporary, and computational methods. Outlining both non-spatial and spatial statistical concepts, the authors present p