Designing map-based visualizations for collection understanding

Buchel, Olga

doi:10.1145/1998076.1998169

Cited by 3 publications

(1 citation statement)

References 7 publications

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“…Other Encoding Techniques. With regard to the many possible dimensions of CH collection data, a whole range of further InfoVis techniques provide insights into non-temporal patterns and distributions, including (stacked) area charts [85], ring charts [72], Voronoi maps [100], pie charts [68], Kohonen maps [101], or line charts [102].…”

Section: Non-temporal Visualization Methodsmentioning

confidence: 99%

Visualization of Cultural Heritage Collection Data: State of the Art and Future Challenges

Windhager

Federico

Schreder

et al. 2019

IEEE Trans. Visual. Comput. Graphics

141

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After decades of digitization, large cultural heritage collections have emerged on the web, which contain massive stocks of content from galleries, libraries, archives, and museums. This increase in digital cultural heritage data promises new modes of analysis and increased levels of access for academic scholars and casual users alike. Going beyond the standard representations of search-centric and grid-based interfaces, a multitude of approaches has recently started to enable visual access to cultural collections, and to explore them as complex and comprehensive information spaces by the means of interactive visualizations. In contrast to conventional web interfaces, we witness a widening spectrum of innovative visualization types specially designed for rich collections from the cultural heritage sector. This new class of information visualizations gives rise to a notable diversity of interaction and representation techniques while lending currency and urgency to a discussion about principles such as serendipity, generosity, and criticality in connection with visualization design. With this survey, we review information visualization approaches to digital cultural heritage collections and reflect on the state of the art in techniques and design choices. We contextualize our survey with humanist perspectives on the field and point out opportunities for future research.

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Section: Non-temporal Visualization Methodsmentioning

confidence: 99%

Visualization of Cultural Heritage Collection Data: State of the Art and Future Challenges

Windhager

Federico

Schreder

et al. 2019

IEEE Trans. Visual. Comput. Graphics

141

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Scaffolding Beginning Research Students Using Open Source Tools

Rao¹,

Agrawal²,

Gudivada³

2013 ASEE Annual Conference &Amp; Exposition Proceedings

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Understanding Collections and Their Implicit Structures through Information Visualization

Sánchez

2014

Innovative Approaches of Data Visualization and Visual Analytics

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This chapter discusses how various approaches to information visualization can be used to assist users in understanding large digital collections and discovering relationships among the entities involved explicitly or implicitly in their development including people, organizations, and documents. Our main postulate is that visualization schemes, such as fisheye views, starfield displays, or self-organizing maps, when integrated and coupled with semantic layouts of topic areas, can significantly facilitate the analysis and discovery of existing and potential relationships among a wide range of entities. A series of developments illustrates how users play a key role in determining advantages and limitations of information visualization schemes, as well as in finding opportunities for improvement and new application areas.

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Designing map-based visualizations for collection understanding

Cited by 3 publications

References 7 publications

Visualization of Cultural Heritage Collection Data: State of the Art and Future Challenges

Visualization of Cultural Heritage Collection Data: State of the Art and Future Challenges

Scaffolding Beginning Research Students Using Open Source Tools

Understanding Collections and Their Implicit Structures through Information Visualization

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