Data Visualization: Principles and Practice, Second Edition
Designing a complete visualization system involves many subtle decisions. When designing a complex, real-world visualization system, such decisions involve many types of constraints, such as performance, platform (in)dependence, available programming languages and styles, user-interface toolkits, input/output data format constraints, integration wi
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algorithms basis functions boundary bundling called cell Chapter color components compute construct contains contours coordinates corresponding curve skeletons data values data visualization dataset defined Delaunay triangulation density described direction discrete distance transform domain edges eigenvectors encode Equation example fiber filtering flow function f given glyphs Gouraud shading graph graphics height plot IBFV implementation information visualization infovis input interactive interpolation isoline isosurface layout linear luminance mapping mesh MeshLab neighbors nodes noise normal OpenGL operations parameters piecewise pixels plane point cloud points pi polygon projection quad rainbow colormap reconstruction regions rendering representation sample points scalar value scientific visualization scivis Section segmentation shading shape shows similar slice spatial splatting streamlines structure surface surface normal tensor texture tion transfer functions treemap triangles types unstructured grid vector field vector glyphs vertex vertex normals vertices visualization applications visualization methods visualization techniques volumetric voxels