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dc.contributor.authorMayer, Benedikten_US
dc.contributor.authorLawonn, Kaien_US
dc.contributor.authorDonnay, Karstenen_US
dc.contributor.authorPreim, Bernharden_US
dc.contributor.authorMeuschke, Moniqueen_US
dc.contributor.editorBorgo, Rita and Marai, G. Elisabeta and Landesberger, Tatiana vonen_US
dc.date.accessioned2021-06-12T11:01:13Z
dc.date.available2021-06-12T11:01:13Z
dc.date.issued2021
dc.identifier.issn1467-8659
dc.identifier.urihttps://doi.org/10.1111/cgf.14284
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf14284
dc.description.abstractThe exploration of large-scale conflicts, as well as their causes and effects, is an important aspect of socio-political analysis. Since event data related to major conflicts are usually obtained from different sources, researchers developed a semi-automatic matching algorithm to integrate event data of different origins into one comprehensive dataset using hierarchical taxonomies. The validity of the corresponding integration results is not easy to assess since the results depend on user-defined input parameters and the relationships between the original data sources. However, only rudimentary visualization techniques have been used so far to analyze the results, allowing no trustworthy validation or exploration of how the final dataset is composed. To overcome this problem, we developed VEHICLE, a web-based tool to validate and explore the results of the hierarchical integration. For the design, we collaborated with a domain expert to identify the underlying domain problems and derive a task and workflow description. The tool combines both traditional and novel visual analysis techniques, employing statistical and map-based depictions as well as advanced interaction techniques. We showed the usefulness of VEHICLE in two case studies and by conducting an evaluation together with conflict researchers, confirming domain hypotheses and generating new insights.en_US
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectHuman centered computing
dc.subjectInformation visualization
dc.subjectGeographic visualization
dc.subjectVisualization toolkits
dc.titleVEHICLE: Validation and Exploration of the Hierarchical Integration of Conflict Event Dataen_US
dc.description.seriesinformationComputer Graphics Forum
dc.description.sectionheadersSocial Science, Security, and Accessibility
dc.description.volume40
dc.description.number3
dc.identifier.doi10.1111/cgf.14284
dc.identifier.pages1-12


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  • 40-Issue 3
    EuroVis 2021 - Conference Proceedings

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