See What You Know: Analyzing Data Distribution to Improve Density Map Visualization

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dc.contributor.authorBertini, Enricoen_US
dc.contributor.authorGirolamo, Alessio Dien_US
dc.contributor.authorSantucci, Giuseppeen_US
dc.contributor.editorK. Museth and T. Moeller and A. Ynnermanen_US
dc.date.accessioned2014-01-31T07:11:03Z
dc.date.available2014-01-31T07:11:03Z
dc.date.issued2007en_US
dc.description.abstractDensity maps allow for visually rendering density differences, usually mapping density values to a grey or color scale. The paper analyzes the drawbacks arising from the commonly used strategies and introduces a novel technique able to improve the overall mapping process. The technique is driven by statistical knowledge about the density distribution and a set of quality metrics allows for validating, in an objective way, its effectiveness.en_US
dc.description.seriesinformationEurographics/ IEEE-VGTC Symposium on Visualizationen_US
dc.identifier.isbn978-3-905673-45-6en_US
dc.identifier.issn1727-5296en_US
dc.identifier.urihttps://doi.org/10.2312/VisSym/EuroVis07/163-170en_US
dc.publisherThe Eurographics Associationen_US
dc.titleSee What You Know: Analyzing Data Distribution to Improve Density Map Visualizationen_US
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EuroVis07: Joint Eurographics - IEEE VGTC Symposium on Visualization