Describing Nature Through Visual Data (Paperback)

People have described nature since the beginning of human history. They do it for various purposes, including to communicate about economic, social, governmental, meteorological, sustainability-related, strategic, military, and survival issues as well as artistic expression. As a part of the whole world of living beings, we use various types of senses, known and unknown, labeled and not identified, to both communicate and create. Describing Nature Through Visual Data is a collection of impactful research that discusses issues related to the visualization of scientific concepts, picturing processes, and products, as well as the role of computing in advancing visual literacy skills. Organized into four sections, the book contains descriptions, theories, and examples of visual and music-based solutions concerning the selected natural or technological events that are shaping present-day reality. The chapters pertain to selected scientific fields, digital art, computer graphics, and new media and confer the possible ways that visuals, visualization, simulation, and interactive knowledge presentation can help us to understand and share the content of scientific thought, research, artistic works, and practice. Featuring coverage on topics that include mathematical thinking, music theory, and visual communication, this reference is ideal for instructors, professionals, researchers, and students keen on comprehending and enhancing the role of knowledge visualization in computing, sciences, design, media communication, film, advertising, and marketing.

General

Imprint:	Business Science Reference
Country of origin:	United States
Release date:	November 2020
Editors:	Anna Ursyn
Dimensions:	279 x 216 x 21mm (L x W x T)
Format:	Paperback
Pages:	367
ISBN-13:	978-1-79985-756-3
Categories:	Books > Reference & Interdisciplinary > Communication studies > Media studies Books > Computing & IT > Social & legal aspects of computing > Human-computer interaction Books > Computing & IT > Applications of computing > Databases > Data capture & analysis Promotions
LSN:	1-79985-756-5
Barcode:	9781799857563

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