Visualising Uncertainty
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Visualising Uncertainty
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Author : Polina Levontin
language : en
Publisher:
Release Date : 2020
Visualising Uncertainty written by Polina Levontin and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with Computers categories.
How should we understand and visualise the uncertainty inherent in decision-making? Using the right visualisation tools can improve our decisions. But this positive impact should never be taken for granted: visualisations can also have unexpected side-effects, and there is the risk that they can be misinterpreted or otherwise misused.
Scientific Visualization
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Author : Charles D. Hansen
language : en
Publisher: Springer
Release Date : 2014-09-18
Scientific Visualization written by Charles D. Hansen and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-09-18 with Mathematics categories.
Based on the seminar that took place in Dagstuhl, Germany in June 2011, this contributed volume studies the four important topics within the scientific visualization field: uncertainty visualization, multifield visualization, biomedical visualization and scalable visualization. • Uncertainty visualization deals with uncertain data from simulations or sampled data, uncertainty due to the mathematical processes operating on the data, and uncertainty in the visual representation, • Multifield visualization addresses the need to depict multiple data at individual locations and the combination of multiple datasets, • Biomedical is a vast field with select subtopics addressed from scanning methodologies to structural applications to biological applications, • Scalability in scientific visualization is critical as data grows and computational devices range from hand-held mobile devices to exascale computational platforms. Scientific Visualization will be useful to practitioners of scientific visualization, students interested in both overview and advanced topics, and those interested in knowing more about the visualization process.
Fundamentals Of Data Visualization
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Author : Claus O. Wilke
language : en
Publisher: O'Reilly Media
Release Date : 2019-03-18
Fundamentals Of Data Visualization written by Claus O. Wilke and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-18 with Computers categories.
Effective visualization is the best way to communicate information from the increasingly large and complex datasets in the natural and social sciences. But with the increasing power of visualization software today, scientists, engineers, and business analysts often have to navigate a bewildering array of visualization choices and options. This practical book takes you through many commonly encountered visualization problems, and it provides guidelines on how to turn large datasets into clear and compelling figures. What visualization type is best for the story you want to tell? How do you make informative figures that are visually pleasing? Author Claus O. Wilke teaches you the elements most critical to successful data visualization. Explore the basic concepts of color as a tool to highlight, distinguish, or represent a value Understand the importance of redundant coding to ensure you provide key information in multiple ways Use the book’s visualizations directory, a graphical guide to commonly used types of data visualizations Get extensive examples of good and bad figures Learn how to use figures in a document or report and how employ them effectively to tell a compelling story
Visualizing Uncertainty
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Author : Mac Hill
language : en
Publisher:
Release Date : 2018
Visualizing Uncertainty written by Mac Hill and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with Information visualization categories.
Methods For Visualizing Uncertainty
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Author : Adam Gottlieb Freeman
language : en
Publisher:
Release Date : 1997
Methods For Visualizing Uncertainty written by Adam Gottlieb Freeman and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with Computer graphics categories.
Implicit Visualization As Usable Science Visualizing Uncertainty As Decision Outcomes
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Author : Stephanie Deitrick
language : en
Publisher:
Release Date : 2013
Implicit Visualization As Usable Science Visualizing Uncertainty As Decision Outcomes written by Stephanie Deitrick and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with Geodesy categories.
Decision makers contend with uncertainty when working through complex decision problems. Yet uncertainty visualization, and tools for working with uncertainty in GIS, are not widely used or requested in decision support. This dissertation suggests a disjoint exists between practice and research that stems from differences in how visualization researchers conceptualize uncertainty and how decision makers frame uncertainty. To bridge this gap between practice and research, this dissertation explores uncertainty visualization as a means for reframing uncertainty in geographic information systems for use in policy decision support through three connected topics. Initially, this research explores visualizing the relationship between uncertainty and policy outcomes as a means for incorporating policymakers' decision frames when visualizing uncertainty. Outcome spaces are presented as a method to represent the effect of uncertainty on policy outcomes. This method of uncertainty visualization acts as an uncertainty map, representing all possible outcomes for specific policy decisions. This conceptual model incorporates two variables, but implicit uncertainty can be extended to multivariate representations. Subsequently, this work presented a new conceptualization of uncertainty, termed explicit and implicit, that integrates decision makers' framing of uncertainty into uncertainty visualization. Explicit uncertainty is seen as being separate from the policy outcomes, being described or displayed separately from the underlying data. In contrast, implicit uncertainty links uncertainty to decision outcomes, and while understood, it is not displayed separately from the data. The distinction between explicit and implicit is illustrated through several examples of uncertainty visualization founded in decision science theory. Lastly, the final topic assesses outcome spaces for communicating uncertainty though a human subject study. This study evaluates the effectiveness of the implicit uncertainty visualization method for communicating uncertainty for policy decision support. The results suggest that implicit uncertainty visualization successfully communicates uncertainty in results, even though uncertainty is not explicitly shown. Participants also found the implicit visualization effective for evaluating policy outcomes. Interestingly, participants also found the explicit uncertainty visualization to be effective for evaluating the policy outcomes, results that conflict with prior research.
Trends In Interactive Visualization
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Author : Elena Zudilova-Seinstra
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-12-17
Trends In Interactive Visualization written by Elena Zudilova-Seinstra and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-12-17 with Computers categories.
II Challenges in Data Mapping Part II deals with one of the most challenging tasks in Interactive Visualization, mapping and teasing out information from large complex datasets and generating visual representations. This section consists of four chapters. Binh Pham, Alex Streit, and Ross Brown provide a comprehensive requirement analysis of information uncertainty visualizations. They examine the sources of uncertainty, review aspects of its complexity, introduce typical models of uncertainty, and analyze major issues in visualization of uncertainty, from various user and task perspectives. Alfred Inselberg examines challenges in the multivariate data analysis. He explains how relations among multiple variables can be mapped uniquely into ?-space subsets having geometrical properties and introduces Parallel Coordinates meth- ology for the unambiguous visualization and exploration of a multidimensional geometry and multivariate relations. Christiaan Gribble describes two alternative approaches to interactive particle visualization: one targeting desktop systems equipped with programmable graphics hardware and the other targeting moderately sized multicore systems using pack- based ray tracing. Finally, Christof Rezk Salama reviews state-of-the-art strategies for the assignment of visual parameters in scientific visualization systems. He explains the process of mapping abstract data values into visual based on transfer functions, clarifies the terms of pre- and postclassification, and introduces the state-of-the-art user int- faces for the design of transfer functions.
Visualizing Uncertainty With Chromatic Aberration
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Author : Md Rashidul Islam
language : en
Publisher:
Release Date : 2022
Visualizing Uncertainty With Chromatic Aberration written by Md Rashidul Islam and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with categories.
In recent years an increasing array of research are being conducted by researchers in the field of uncertainty visualization that attempt to determine the impact of representations on users' perception and evaluate its effectiveness in decision making. Uncertainties are often an integral part of data and by nature model predictions also contain significant amounts of uncertain information. In this study, we explore a novel idea for a visualization to present predictive model uncertainties using Chromatic Aberration (CA). We first utilized existing machine learning models to obtain predictive results and then visualized the data itself and its associated uncertainties with an artificially spatially separated channels of red, green, and blue color components. This chromatic aberration representation has been evaluated in a comparative user study. From quantitative analysis it is observed that user is able to identify targets in CA method more accurately than quickly than Value-Suppressing Uncertainty Palettes (VSUP) approach.
Visualizing Uncertainty In Surface Geometry And Fluid Flow
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Author : Robert Edward Sheehan
language : en
Publisher:
Release Date : 1996
Visualizing Uncertainty In Surface Geometry And Fluid Flow written by Robert Edward Sheehan and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Computer graphics categories.
Improving The Analyst And Decision Maker S Perspective Through Uncertainty Visualization
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Author : Evan T. Watkins
language : en
Publisher:
Release Date : 2000-03-01
Improving The Analyst And Decision Maker S Perspective Through Uncertainty Visualization written by Evan T. Watkins and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-03-01 with Decision making categories.
This thesis constructs the Taxonomy of Uncertainty and an approach for enhancing the information in decision support systems. The hierarchical categorization of numerous causes for uncertainty defines the taxonomy, which fostered the development of a technique for visualizing uncertainty. This technique is fundamental to expressing the multi-dimensional uncertainty that can be associated with any object. By including and intuitively expressing uncertainty, the approach facilitates and enhances intuition and decision-making without undue information overload. The resulting approach for enhancing the information involves recording uncertainty, identifying the relevant items, computing and visualizing uncertainty, and providing interaction with the selection of uncertainty. A prototype embodying this approach to enhancing information by including uncertainty was used to validate these efforts. Evaluation responses of a small sample space support the thesis that the decision-maker's knowledge is enhanced with enlightening information afforded by including and visualizing uncertainty, which can improve the decision-making process. Although the concept was initially conceived to help decision support system users deal with uncertainty, this methodology and these ideas can be applied to any problem where objects with many potential reasons for uncertainty are the focus of the decision-making.