| 書(shū)目名稱 | Foundations of Data Visualization | | 編輯 | Min Chen,Helwig Hauser,Gerik Scheuermann | | 視頻video | http://file.papertrans.cn/347/346940/346940.mp4 | | 概述 | Enriches readers’ broad appreciation of the connections from theoretical and mathematical research to empirical studies and application case studies.Stimulates readers’ insight into the scientific fou | | 圖書(shū)封面 |  | | 描述 | This is the first book that focuses entirely on the fundamental questions in visualization. Unlike other existing books in the field, it contains discussions that go far beyond individual visual representations and individual visualization algorithms. It offers a collection of investigative discourses that probe these questions from different perspectives, including concepts that help frame these questions and their potential answers, mathematical methods that underpin the scientific reasoning of these questions, empirical methods that facilitate the validation and falsification of potential answers, and case studies that stimulate hypotheses about potential answers while providing practical evidence for such hypotheses. Readers are not instructed to follow a specific theory, but their attention is brought to a broad range of schools of thoughts and different ways of investigating fundamental questions. As such, the book represents the by now most significant collective effort for gathering a large collection of discourses on the foundation of data visualization...Data visualization is a relatively young scientific discipline. Over the last three decades, a large collection of comp | | 出版日期 | Book 2020 | | 關(guān)鍵詞 | data visualization; scientific visualization; theoretical foundations of visualization; evaluation of v | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-34444-3 | | isbn_softcover | 978-3-030-34446-7 | | isbn_ebook | 978-3-030-34444-3 | | copyright | Springer Nature Switzerland AG 2020 |
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