The Evaluation Metro Map

Autor: Sebastian Lemire

Publikováno v: Journal of MultiDisciplinary Evaluation, Vol 20, Iss 48 (2024)

Background: The practice and profession of evaluation continue to evolve. Over the years, evaluation scholars and practitioners have developed a broad—and still broadening—range of evaluation approaches. These evaluation approaches are often comb

Externí odkaz: https://doaj.org/article/836424fb791a44fc9fafd1829f3fd1ed

Family metro maps

Autor: Verus Pronk, Jan Korst, Jarke J. van Wijk

Publikováno v: Journal of Visualization, 25(2). Springer

We present family metro maps as a new approach to visualize the relations between multiple related families. A family is represented by a metro line, where the parents are the end nodes and the children the intermediate nodes. We introduce family tre

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::05cb36d9fbbbe3e9e5b0e357c52fcdb1
http://www.scopus.com/inward/record.url?scp=85116491867&partnerID=8YFLogxK

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A Bounded Measure for Estimating the Benefit of Visualization (Part II): Case Studies and Empirical Evaluation

Autor: Min Chen, Alfie Abdul-Rahman, Deborah Silver, Mateu Sbert

Publikováno v: Entropy; Volume 24; Issue 2; Pages: 282
Entropy, 2022, vol. 24, núm. 2, p. 282
Articles publicats (D-IMAE)
Chen, Min Abdul-Rahman, Alfie Silver, Deborah Sbert, Mateu 2022 A Bounded Measure for Estimating the Benefit of Visualization (Part II): Case Studies and Empirical Evaluation Entropy 24 2 282
DUGiDocs – Universitat de Girona
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Many visual representations, such as volume-rendered images and metro maps, feature a noticeable amount of information loss. At a glance, there seem to be numerous opportunities for viewers to misinterpret the data being visualized, hence undermining

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cfa083c3b70bb546659d6a669d70a51a

Visualizing set data with the metro map metaphor

Autor: Wallinger, Markus

Verschiedenste visuelle Metaphern existieren, um Datensätze aus der Mengenlehre grafisch darzustellen. Manche Metaphern, z.B. Venn oder Euler Diagramme, sind einfach zu interpretieren, aber skalieren schlecht mit steigender Anzahl an Elementen und M

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0b396930ceb2bdcb7fdc77195ae0d6bb