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MATLAB Graphics and Data Visualization Cookbook /
MATLAB Graphics and Data Visualization Cookbook will serve as your handbook in recipe format with ample screenshots. Each independent recipe will help you in achieving target-oriented solutions to your problems with concise explanation. For those who are already using MATLAB for their computational...
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Birmingham :
Packt Pub.,
2012.
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| Colección: | Quick answers to common problems.
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| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Cover; Index; Copyright; Credits; About the Authors; Acknowledgement; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1:Customizing Elements of MATLAB Graphics-the Basics; Introduction; Making your first MATLAB plot; Laying out long tick labels without overwriting; Using annotations pinned to the axes; Tufte style gridding for readability; Bringing order to chaos with legends; Visualizing details with data transformations; Designing multigraph layouts; A visualization to compare algorithm test results; Chapter 2:Diving into One-dimensional Data Displays
- IntroductionPie charts, stem plots, and stairs plots; Box plots; Sparklines; Stacked line graphs; Node link plots; Calendar heat map; Distributional data analysis; Time series analysis; Chapter 3:Graduating to Two-dimensional Data Displays; Introduction; Two-dimensional scatter plots; Scatter plot smoothing; Bidirectional error bars; 2D node link plots; Dendrograms and clustergrams; Contour plots; Gridding scattered data; Choropleth maps; Thematic maps with symbols; Flow maps; Chapter 4:Customizing Elements of MATLAB Graphics-Advanced; Introduction; Transparency; Lighting; View control
- Interaction between light, transparency, and viewChapter 5:Playing in the Big Leagues with Volumetric Data; Introduction; 3D scatter plots; Slice (cross-sectional views); Isosurface, isonormals, isocaps; Stream slice; Stream lines, ribbons, tubes; Scalar and vector data with a combination of techniques; Explore with camera motion; Chapter 6:Designing for Higher Data Dimensions and High Data Volumes; Introduction; Fusing hyperspectral data; Survey plots; Glyphs; Parallel coordinates; Tree maps; Andrews' curves; Downsampling for fast graphs; Principal Component Analysis
- Radial Coordinate VisualizationChapter 7:Creating Interactive Graphics and Animation; Introduction; Callback functions; Obtaining user input from the graph; Linked axes and data brushing; The magnifying glass demo; Animation with playback of frame captures; Stream particle animation; Animation by incremental changes to chart elements; Chapter 8:Finalizing Graphics for Publication and Presentations; Introduction; Export formats and resolution; Vector graphics for inclusion into documents; Preserving onscreen font size and aspect ratios; Publishing code and graphics to a webpage