Uncertainty-aware Visual Analytics - Scope, Oppertunities and Challenges

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Abstract

In many applications, Visual Analytics(VA) has developed into a standard tool to ease data access and knowledge generation. Unfortunately, many data sources, used in the VA process, are affected by uncertainty. In addition, the VA cycle itself can introduce uncertainty to the knowledge generation process. The classic VA cycle does not provide a mechanism to handle these sources of uncertainty. In this manuscript, we aim to provide an extended VA cycle that is capable of handling uncertainty by quantification, propagation, and visualization. Different data types and application scenarios that can be handled by such a cycle, examples, and a list of open challenges in the area of uncertainty-aware VA are provided.
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Uncertainty-aware Visual Analytics - Scope, Oppertunities and Challenges | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Uncertainty-aware Visual Analytics - Scope, Oppertunities and Challenges Robin Georg Claus Maack, Gerik Scheuermann, Hans Hagen, Jose Tiberio Hernández Peñaloza, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-1177485/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 4 You are reading this latest preprint version Abstract In many applications, Visual Analytics(VA) has developed into a standard tool to ease data access and knowledge generation. Unfortunately, many data sources, used in the VA process, are affected by uncertainty. In addition, the VA cycle itself can introduce uncertainty to the knowledge generation process. The classic VA cycle does not provide a mechanism to handle these sources of uncertainty. In this manuscript, we aim to provide an extended VA cycle that is capable of handling uncertainty by quantification, propagation, and visualization. Different data types and application scenarios that can be handled by such a cycle, examples, and a list of open challenges in the area of uncertainty-aware VA are provided. Visual Analytics Uncertainty Analysis Uncertainty-aware Visualization Full Text Cite Share Download PDF Status: Under Review Version 1 posted Reviews received at journal 28 Dec, 2021 Reviewers invited by journal 26 Dec, 2021 Editor assigned by journal 22 Dec, 2021 First submitted to journal 16 Dec, 2021 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-1177485","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":70600119,"identity":"4a64c7c9-4452-4f1a-b71f-8fefd636ca82","order_by":0,"name":"Robin Georg Claus Maack","email":"","orcid":"","institution":"University of Kaiserslautern: Technische Universitat Kaiserslautern","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Robin","middleName":"Georg Claus","lastName":"Maack","suffix":""},{"id":70600120,"identity":"744c5c4c-053b-4abd-a2cc-758c39d7d70b","order_by":1,"name":"Gerik Scheuermann","email":"","orcid":"","institution":"Leipzig University: Universitat Leipzig","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Gerik","middleName":"","lastName":"Scheuermann","suffix":""},{"id":70600121,"identity":"876154ec-3ed0-441d-8a89-6290f7580dd7","order_by":2,"name":"Hans Hagen","email":"","orcid":"","institution":"TU Kaiserslautern: Technische Universitat Kaiserslautern","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Hans","middleName":"","lastName":"Hagen","suffix":""},{"id":70600122,"identity":"50349df0-d596-42bd-bc67-35127ff4a5ca","order_by":3,"name":"Jose Tiberio Hernández Peñaloza","email":"","orcid":"","institution":"Universidad de Los Andes","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Jose","middleName":"Tiberio Hernández","lastName":"Peñaloza","suffix":""},{"id":70600123,"identity":"73d50ac1-e632-4f59-b6ab-23c3c7c95e0d","order_by":4,"name":"Christina Gillmann","email":"data:image/png;base64,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","orcid":"","institution":"Leipzig University: Universitat Leipzig","correspondingAuthor":true,"submittingAuthor":false,"prefix":"","firstName":"Christina","middleName":"","lastName":"Gillmann","suffix":""}],"badges":[],"createdAt":"2021-12-16 12:17:28","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-1177485/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-1177485/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":16663567,"identity":"0efe21bb-9ffb-4ad1-aed5-38e3689c7bba","added_by":"auto","created_at":"2021-12-21 20:20:30","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1310690,"visible":true,"origin":"","legend":"","description":"","filename":"UncertaintyawareVisualAnalystics.pdf","url":"https://assets-eu.researchsquare.com/files/rs-1177485/v1_covered.pdf"}],"financialInterests":"","formattedTitle":"Uncertainty-aware Visual Analytics - 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