A Generic Framework and Library for Exploration of Small Multiples through Interactive Piling
Not on the map. Why?
Abstract (arXiv)
Small multiples are miniature representations of visual information used generically across many domains. Handling large numbers of small multiples imposes challenges on many analytic tasks like inspection, comparison, navigation, or annotation. To address these challenges, we developed a framework and implemented a library called Piling.js for designing interactive piling interfaces. Based on the piling metaphor, such interfaces afford flexible organization, exploration, and comparison of large numbers of small multiples by interactively aggregating visual objects into piles. Based on a systematic analysis of previous work, we present a structured design space to guide the design of visual piling interfaces. To enable designers to efficiently build their own visual piling interfaces, Piling.js provides a declarative interface to avoid having to write low-level code and implements common aspects of the design space. An accompanying GUI additionally supports the dynamic configuration of the piling interface. We demonstrate the expressiveness of Piling.js with examples from machine learning, immunofluorescence microscopy, genomics, and public health.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). First posted on arXiv 1 May 2020.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2022: 1; 2023: 2.
3 papers.
- 2022SpaceEditing: Integrating Human Knowledge into Deep Neural Networks via Interactive Latent Space Editingcited by 1
- 2023BI-LAVA: Biocuration with Hierarchical Image Labeling through Active Learning and Visual Analysiscited by 0
- 2023Image Collage on Arbitrary Shape via Shape-Aware Slicing and Optimizationcited by 0
- 2023Image Collage on Arbitrary Shape via Shape-Aware Slicing and Optimization17 Nov 2023
- 2023BI-LAVA: Biocuration with Hierarchical Image Labeling through Active Learning and Visual Analysis15 Aug 2023
- 2022SpaceEditing: Integrating Human Knowledge into Deep Neural Networks via Interactive Latent Space Editing8 Dec 2022