
Applying Color Theory to Digital Media and Visualization
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Product details:
- Edition number 2
- Publisher CRC Press
- Date of Publication 19 December 2024
- ISBN 9781032816852
- Binding Hardback
- No. of pages227 pages
- Size 254x178 mm
- Weight 453 g
- Language English
- Illustrations 2 Illustrations, black & white; 183 Illustrations, color; 32 Halftones, color; 2 Line drawings, black & white; 151 Line drawings, color 672
Categories
Short description:
Applying Color Theory to Digital Media and Visualization provides an overview of the application of color theory concepts to digital media and visualization. It highlights specific color concepts such as color harmony and data color schemes.
MoreLong description:
Applying Color Theory to Digital Media and Visualization provides an overview of the application of color theory concepts to digital media and visualization. It highlights specific color concepts such as color harmony and data color schemes. Examples of generative AI solutions for color scheme suggestion are provided. The usage of these concepts is shown with actual online and mobile tools. Color deficiencies are reviewed, and color tools for examining how a specific color map design will look to someone with the deficiency are discussed. A five-stage colorization process is defined and applied to case study examples.
Features:
- Presents color theory and data color concepts that can be applied to digital media and visualization problems over and over again
- Offers a comprehensive review of the historical progression of color models
- Demonstrates actual case study implementations of color analyses tools
- Provides overview of color theory and harmony analytics in terms of online and mobile analysis tools
- Teaches the color theory language to use in interacting with color management professionals
Unlike many books on color, which examine artists? use of color, color management or color science, this book applies fundamental color concepts to digital media and visualization solutions, and the new edition includes generative AI solutions for color suggestion. A video summary of the chapters by the author can also be found here: https://www.youtube.com/watch?v=aGDXyTd1UWk. This is the ideal book for digital media and visualization content creators and developers.
"As someone from the field of data analytics, which heavily utilizes visualizations, I have been delighted with this book. It is well laid out to provide a neophyte with all the knowledge and tools to be able to take that information and apply it to aid in creating colorful visualizations that best impart information, in a wide range of subtle ways. The section on color range deficiencies and adjusting color choices to ensure anyone can get full comprehension of my graphics was an unexpected bonus. This book feels like it should be on the ?must read? list for any professional who uses color in their work."
--Sue Hayden, Data Process Engineer
"I have attended many of Theresa-Marie?s SIGGRAPH courses on color selection over the years, and kept her course notes around as references. When the first edition of this book came out, I was thrilled because it was so nice to have everything collected in one easy-to-read, easy-to-store, easy-to-understand place. The first edition immediately went on my closest-to-my-desk bookshelf.
Now the second edition is out. It is longer (201 pages), physically larger (7?x10?), and has brilliant color on almost every page.
There are many things new in the second edition, too many to mention here. But one new topic with which I was particularly intrigued was the use of ChatGPT to generate color sequences. The exact prompt used is shown in the book. (Thank goodness! I would not have thought to phrase it so well.) ChatGPT then generated eight diverging color options complete with hex codes. But, as could be expected, some of the ChatGPT selections were inaccurate in terms of systematic color sequencing. The author then shows how the freely-available Adobe Color app can be used to ?clean up? the ChatGPT suggestions. I can hardly wait to try this myself!
I also found the book?s ?5-step process to colorizing a data visualization? to be useful:
1. Establish data classes for visualization and key color for visualization
2. Select color rule, color harmony per criteria of your data.
3. Build color scheme. A color suggestion tool might be helpful.
4. Check and revise due to color deficiency, contrasts, or any pre-existing conditions.
5. Apply color scheme to data visualization. Some modifications might result.
When you think about it, these steps should be obvious, but I am pretty sure they are not, at least not to most of us. Plugging these rules, especially
MoreTable of Contents:
Chapter 1: Introduction to Color Models. Chapter 2: Review of Color Vision Principals. Chapter 3: Defining Color Gamut, Color Spaces and Color Systems. Chapter 4: Defining Color Harmony. Chapter 5: Translating Between Color Harmony and Data Color Schemes. Chapter 6: Analyzing and Modifying with Online and Mobile Color Tools. Chapter 7: Case Study Examples of Colorizing Data Visualizations. Chapter 8: Review of Basic Concepts Covered
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