Prediction of data visibility in two-dimensional scatterplots

cic.isFulltexttruees
cic.isPeerReviewedtruees
cic.lugarDesarrolloLaboratorio de Investigación y Desarrollo en Visualización y Computación Gráficaes
cic.versioninfo:eu-repo/semantics/publishedVersiones
dc.date.accessioned2018-05-29T14:39:28Z
dc.date.available2018-05-29T14:39:28Z
dc.identifier.urihttps://digital.cic.gba.gob.ar/handle/11746/8136
dc.titlePrediction of data visibility in two-dimensional scatterplotsen
dc.typeArtículoes
dcterms.abstractThe result of a visualization process depends on the user’s decisions along it. With the intention of accelerating this process and guaranteeing an appropriate visualization of the data, we are looking to semi-automatize the process to help the users with the decision-making along it. To contribute to this semi-automation, it is useful to have metrics that characterize different important aspects of the visualization techniques, such as data representation visibility. Besides, scatterplots are a widely used technique to visualize scalar datasets. In this context, this work presents a metric that evaluates data representation visibility considering glyph visibility in scatterplots. We defined a metric that estimates the proportion of glyphs that will be visible regardless of the drawing order, and it depends on the number of items in the dataset, the size of the window, and the size of the glyphs that will represent the data. To define and approximate the metric, we experimented with several random datasets for which both dimensions followed a normal distribution. This metric constitutes an alternative to characterize scatterplots and collaborates in the semi-automation of the user’s decisions along the visualization process.en
dcterms.alternativePredicción de la visibilidad de datos en scatterplots bidimensionaleses
dcterms.creator.authorUrribarri, Danaes
dcterms.creator.authorCastro, Silvia Mabeles
dcterms.extent13 p.es
dcterms.identifier.otherdoi:10.1177/1473871616638892es
dcterms.isPartOf.issueVol. 16, no. 2es
dcterms.isPartOf.seriesInformation Visualizationen
dcterms.issued2016-06-30
dcterms.languageIngléses
dcterms.licenseAttribution 3.0 Unported (BY 3.0)es
dcterms.publisherSAGEes
dcterms.subjectInformation visualizationen
dcterms.subjectvisualization techniqueen
dcterms.subjectscatterplotsen
dcterms.subjectvisual scalability metricen
dcterms.subjectvisibility metricen
dcterms.subject.materiaCiencias de la Computación e Informaciónes

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