Filtern
Dokumenttyp
Gehört zur Bibliographie
- ja (12)
Schlagworte
- Visualisierung (10)
- Digital Humanities (2)
- Digitalisierung (2)
- Kulturerbe (2)
- Computational Social Science (1)
- Daten (1)
- Datenverarbeitung (1)
- Deleuze, Gilles (1)
- Fontane, Theodor (1)
- Governance (1)
Institut
Climate change severely affects Alpine regions. Adaptation to climate change is needed in order to deal with these impacts, but the implementation of national adaptation strategies is inhibited by multiple obstacles. Regional strategic frameworks are just emerging, adaptation is of little priority to local agendas and policy mainstreaming is limited on all administrative levels. This paper provides a better understanding of the governance of adaptation to climate change in Switzerland, an example of a federal system with a strong focus on subnational levels and multilevel governance. We conceptualize governance as a network of policies, measures, actors and knowledge, and visualize their interactions using D3.js, a data-driven JavaScript library. The findings illustrate the typical division of labour in federal multilevel governance systems. The national level provides a strategic framework and funding and conducts coordinating measures at subnational levels, especially the local-level implementation of concrete measures. Conducting comparable mappings for other countries would allow interesting comparisons and insights into common barriers and opportunities to adaptation to climate change.
With relational perspectives, we examine the potential of traversing cultural collections along the richness of individual facets and relations through the process of developing an exploration-centered visualization. Cultural collections can contain thousands of artifacts, of which each typically possesses a diverse set of properties and individual facets constituting a unique relationship to the rest of the collection. Therefore, to create an appropriate representation of the complex data of each underlying artifact, oftentimes, it is not only interesting to get an overview of the entire collection from one perspective, but to explore the specific context of an artifact and the various relations it may have to other items. To investigate the potential of relational perspectives, we selected an art collection as a particularly promising case study. By following and reporting from a collaborative and iterative design process with an art museum, we developed a web interface that contrasts a collection overview with three situated visualizations each exposing a different kind of relational perspective on the art collection from an artifact.
SoNAR (IDH)
(2020)
Graph Technologies for the Analysis of Historical Social Networks Using Heterogeneous Data Sources
(2020)
Over the last decades, cultural heritage institutions have provided extensive machine-readable data, such as bibliographic and archival metadata, full-text collections, and authority records containing multitudes of implicit and explicit statements about the social relations between various types of entities. In this paper, we discuss how approaches to the creation and operation of advanced research infrastructure for historical network analysis (HNA) based on heterogeneous data sources from cultural heritage institutions can be examined and evaluated. Based on our interdisciplinary research, we describe challenges and strategies with a special focus on the issue of data processing, sketch out the advantages of human-centered project design in the form of a preliminary co-design workshop, and present an iterative approach to data visualization.
Through a design study, we develop an approach to data exploration that utilizes elastic visualizations designed to support varying degrees of detail and abstraction. Examining the notions of scalability and elasticity in interactive visualizations, we introduce a visualization of personal reading traces such as marginalia or markings inside the reference library of German realist author Theodor Fontane. To explore such a rich and extensive collection, meaningful visual forms of abstraction and detail are as important as the transitions between those states. Following a growing research interest in the role of fluid interactivity and animations between views, we are particularly interested in the potential of carefully designed transitions and consistent representations across scales. The resulting prototype addresses humanistic research questions about the interplay of distant and close reading with visualization research on continuous navigation along several granularity levels, using scrolling as one of the main interaction mechanisms. In addition to presenting the design process and resulting prototype, we present findings from a qualitative evaluation of the tool, which suggest that bridging between distant and close views can enhance exploration, but that transitions between views need to be crafted very carefully to facilitate comprehension.
Was sehe ich? Visualisierungsstrategien für Datentransparenz in der Historischen Netzwerkanalyse
(2022)
Die Historische Netzwerkanalyse (HNA) hat sich zu einem etablierten Forschungsfeld entwickelt. Zu ihren wichtigsten methodischen Herausforderungen gehört die Suggestionskraft von Visualisierungen. Die Transparenz bezüglich der Datenquellen ist daher für die HNA sowohl bei selbst erhobenen als auch bei sekundär genutzten Daten Voraussetzung, will sie geisteswissenschaftlichen Kriterien der Nachprüfbarkeit und Nachvollziehbarkeit von Interpretationen erfüllen. Dieser Beitrag beschreibt und diskutiert – aufbauend auf einem iterativen und durch Workshops sowie einer Nutzer*innenstudie begleiteten Forschungsprozess – vier Designziele zur Verwirklichung einer solchen Transparenz: 1) Aufnahme und Kommunikation von Datenprovenienzen, 2) Dokumentation vorausgegangener Prozesse, 3) Offenhaltung der Interpretierbarkeit der Daten und 4) Unterstützung von Folgeforschung. Anschließend werden beispielhafte Umsetzungsstrategien in Form von Prototypen präsentiert.
Von der Wolke zum Pfad
(2022)
Die in den letzten Jahren entstandenen explorativen Visualisierungen musealer Sammlungen widmen sich zumeist einzelnen Sammlungen, welche oft einer spezifischen Systematik folgen und eine geringe Vielfalt an Objektgattungen und Attributen aufweisen. Das hier vorgestellte Forschungsprojekt stellte sich die Frage, wie verschiedene, in sich heterogene, Sammlungen miteinander verknüpft, visualisiert und exploriert werden können, ohne die Unterschiede zwischen ihnen zu nivellieren. Dazu wurden im Rahmen einer Forschungskooperation mit den Staatlichen Museen zu Berlin die Bestände aus dem 19. Jahrhundert der Alten Nationalgalerie sowie des Museums Europäischer Kulturen ausgewählt. Das Ziel war es, übergreifende Zusammenhänge und Resonanzen zwischen den Sammlungen aufzugreifen und dynamische, interaktive Arrangements zu entwickeln, welche die assoziative Exploration von Beständen anregen. Das Ergebnis ist ein interaktiver Prototyp, der eine globale Übersicht in Form einer annotierten Wolke mit der lokalen Perspektive eines auf Ähnlichkeiten basierten Pfads verknüpft.
Die Falte
(2020)
Unfolding Edges
(2023)
Existing work on visualizing multivariate graphs is primarily concerned with representing the attributes of nodes. Even though edges are the constitutive elements of networks, there have been only few attempts to visualize attributes of edges. In this work, we focus on the critical importance of edge attributes for interpreting network visualizations and building trust in the underlying data. We propose 'unfolding of edges' as an interactive approach to integrate multivariate edge attributes dynamically into existing node-link diagrams. Unfolding edges is an in-situ approach that gradually transforms basic links into detailed representations of the associated edge attributes. This approach extends focus+context, semantic zoom, and animated transitions for network visualizations to accommodate edge details on-demand without cluttering the overall graph layout. We explore the design space for the unfolding of edges, which covers aspects of making space for the unfolding, of actually representing the edge context, and of navigating between edges. To demonstrate the utility of our approach, we present two case studies in the context of historical network analysis and computational social science. For these, web-based prototypes were implemented based on which we conducted interviews with domain experts. The experts' feedback suggests that the proposed unfolding of edges is a useful tool for exploring rich edge information of multivariate graphs.