MATLAB Graphics and Data Visualization Cookbook / Nivedita Majumdar ; Swapnonil Banerjee.

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...

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Bibliographic Details
Main Author: Majumdar, Nivedita
Other Authors: Banerjee, Swapnonil
Format: Electronic eBook
Language:English
Published: Birmingham : Packt Pub., 2012.
Series:Quick answers to common problems.
Subjects:
MATLAB.
Computer graphics.
Graphical user interfaces (Computer systems)
Electronic books.
Online Access: Full text (Wentworth users only)
Table of Contents:
  • 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

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