Tag: Visualization

Experiential Visualization in Architectural Design Media How It Actually Works


Free Download Vincent B. Canizaro, "Experiential Visualization in Architectural Design Media: How It Actually Works "
English | ISBN: 103235710X | 2023 | 202 pages | PDF | 8 MB
Experimental Visualization in Architectural Design Media: How It Actually Works is a theoretical, practical, and interdisciplinary account of the tools used by architects and designers. The book focuses on the how these tools influence their ability to envision and craft the future experiential reality of buildings and environments. The book is structured around two parallel sets of questions. The first, concerns the effects of various media on the designer’s understanding of their work in experiential terms. The media considered include the process of design-build, standard media such as scale model building, hand drawing, drafting, and extends into the now dominant digitally based design media of BIM, digital modeling, and emerging VR technologies, such as Enscape. The second line of questioning seeks patterns of use and other attributes designers deploy in practice to achieve an experiential and meaningful understanding of their work, with and through each medium.

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Visualization of Time-Oriented Data (2nd Edition)


Free Download Visualization of Time-Oriented Data (2nd Edition)
English | 2024 | ISBN: 1447175263 | 453 Pages | PDF (True) | 51 MB
This second edition builds upon the great success of the first edition. It maintains a brief introduction to visualization and a review of historical time-oriented visual representations. At its core, the book develops a systematic view of the visualization of time-oriented data. Separate chapters discuss interaction techniques and computational methods for supporting the visual data analysis. Many examples and figures illustrate the introduced concepts and techniques.

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Visualization and Imputation of Missing Values


Free Download Visualization and Imputation of Missing Values: With Applications in R
English | 2023 | ISBN: 3031300726 | 479 Pages | PDF EPUB (True) | 76 MB
This book explores visualization and imputation techniques for missing values and presents practical applications using the statistical software R. It explains the concepts of common imputation methods with a focus on visualization, description of data problems and practical solutions using R, including modern methods of robust imputation, imputation based on deep learning and imputation for complex data. By describing the advantages, disadvantages and pitfalls of each method, the book presents a clear picture of which imputation methods are applicable given a specific data set at hand.

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