54 citations · 60 across the 4 of their papers we have counts for
7 papers
Scientific Visualization as a Collaborative Data Infrastructure
Jasmine Tan Otto, Alexandra Diehl, Max Kreminski +1
Scientific visualization is an active site of infrastructuring with many layers of data and evidential claims. This paper reflects on collaborative Mars geoscience research conduct…
Reflections and Considerations on Running Creative Visualization Learning Activities
Jonathan C. Roberts, Benjamin Bach, Magdalena Boucher +11
This paper draws together nine strategies for creative visualization activities. Teaching visualization often involves running learning activities where students perform tasks that…
Characterizing Grounded Theory Approaches in Visualization
Alexandra Diehl, Alfie Abdul-Rahman, Benjamin Bach +5
Grounded theory (GT) is a research methodology that entails a systematic workflow for theory generation grounded on emergent data. In this paper, we juxtapose GT workflows with typ…
Visualization Resources: A Starting Point
Xiaoxiao Liu, Mohammad Alharbi, Joe Best +6
Visualization, as a vibrant field for researchers, practitioners, and higher educational institutions, is growing and evolving very rapidly. Tremendous progress has been made since…
Studying Visualization Guidelines According to Grounded Theory
Alexandra Diehl, Matthias Kraus, Alfie Abdul-Rahman +5
Visualization guidelines, if defined properly, are invaluable to both practical applications and the theoretical foundation of visualization. In this paper, we present a collection…
A Comparison of Radial and Linear Charts for Visualizing Daily Pattern
Manuela Waldner, Alexandra Diehl, Denis Gracanin +3
Radial charts are generally considered less effective than linear charts. Perhaps the only exception is in visualizing periodical time-dependent data, which is believed to be natur…
Visual Integration of Data and Model Space in Ensemble Learning
Bruno Schneider, Dominik Jäckle, Florian Stoffel +3
Ensembles of classifier models typically deliver superior performance and can outperform single classifier models given a dataset and classification task at hand. However, the gain…